Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Helsing Revamps Employee Stock Plan Ahead of Major Funding Round
European defense startup Helsing has made significant changes to its internal share program, impacting employee morale as it prepares for its largest funding round to date. The company is currently finalizing this round, which is expected to enhance its financial position and support its growth in the defense sector. This restructuring of the stock plan is crucial as it reflects Helsing's strategic focus on attracting investment while managing employee expectations. The adjustments may influence staff retention and motivation, which are vital for the company's operational success in a competitive market. Looking ahead, Helsing's funding round is anticipated to provide the necessary capital for further development and expansion. No further timeline was disclosed at the time of publication, but the outcome of this funding could significantly shape the company's trajectory in the defense technology landscape.
Helion, the Sam Altman-backed fusion startup, raises $465M to build a power plant for Microsoft
Helion, a fusion energy startup, is accelerating its efforts to build a power plant for Microsoft, with a completion target set for 2028. The company has recently secured a new round of funding, which is expected to bolster its development capabilities and expedite the project. This partnership highlights the growing interest in fusion energy as a viable solution for sustainable power, particularly in the tech industry, where companies like Microsoft are seeking innovative ways to meet their energy needs and reduce carbon footprints. The collaboration represents a significant step forward in the pursuit of clean energy solutions, as Helion aims to harness fusion technology to provide reliable and environmentally friendly electricity.
Climate Fundraising Startups Helion fusion energy Peak XV Partners
Japan’s MW Raises $21M in Seed Round Funding to Build Homes Designed for Physical AI
Tokyo-based startup MW has successfully secured 3 billion yen, roughly $21 million, in seed funding to advance its innovative housing solutions. This funding round attracted notable investments from Alpha, the National Guarantee Innovation Fund, and other Japanese entities. The company aims to develop residential spaces that integrate artificial intelligence and robotics, anticipating their increasing presence in everyday life. The initiative reflects a growing trend towards smart living environments that cater to the evolving needs of modern society.
AI AI Funding & Investment Robotics Alpha funding Japan
BXI Robotics Secures Millions in Funding for Humanoid Robot Development and Market Expansion
BXI Robotics, a humanoid robot ODM provider, has recently completed a new funding round worth millions, with investment from A-share listed company Suochen Technology. The funds will primarily support the development of next-generation humanoid robots and expansion into overseas markets. Previously, BXI Robotics secured its first round of institutional financing in 2025 from Feirongda. Founded in 2022, BXI Robotics has been developing humanoid robots since 2020. The company focuses on high-dynamic bipedal humanoid robots and is one of the few teams in China capable of full-stack self-research, including machine design, core motors, motion control algorithms, and software delivery. BXI Robotics aims to meet the growing ODM market demand as many companies seek to quickly establish their own humanoid robot brands. Looking ahead, BXI Robotics plans to enhance its capabilities in end-effectors, perception, and computation to improve robots' ability to execute tasks autonomously. The company anticipates significant growth in orders and revenue, projecting monthly order amounts to exceed ten million yuan from July 2026 to July 2027, with a total annual revenue expected to surpass one hundred million yuan. No further timeline was disclosed at the time of publication.
Tesla Supplier New Sword Seeks 2.822 Billion Yuan in IPO for Robotics Expansion
Hangzhou New Sword Electromechanical Transmission Co., Ltd. has submitted its IPO application to the Shenzhen Stock Exchange, aiming to raise 2.822 billion yuan by issuing up to 27.99 million shares. Established in 1999, the Zhejiang-based company is recognized as one of the three major players in Tesla's humanoid robot supply chain, primarily supplying planetary roller screws for the Tesla Optimus robot. The significance of this IPO lies in New Sword's projected revenue growth, which is expected to rise from 263 million yuan in 2023 to 383 million yuan by 2025. The company anticipates a dramatic increase in revenue from the embodied intelligent robotics sector, with projections of 31.11 million yuan by 2025, marking a 346% year-on-year growth. The funds raised will primarily support the industrialization project for producing 1 million humanoid robots and automotive planetary roller screws, with a total planned investment of 2.6 billion yuan. Looking ahead, New Sword's business model is shifting as it evolves from a single screw supplier to a comprehensive assembly supplier, including sensors and motors, for Tesla. The company aims to capitalize on the anticipated demand for Tesla's Optimus robots, with CEO Elon Musk indicating a target of 1 million units annually by the end of 2026. However, the timeline for mass production has faced multiple adjustments since the project's announcement in 2021, leaving uncertainty in the market.
Humanoid Robots IPO Supply Chain Electromechanical Components
End-Side AI Leader Mianbi Intelligence Secures $5 Billion Funding, Reaches $20 Billion Valuation
On July 15, Mianbi Intelligence announced the completion of a new funding round, attracting investments from national funds, state-owned enterprises, and automotive manufacturers. This brings the total funding raised by Mianbi Intelligence in the first half of 2026 to over 5 billion yuan, with a valuation exceeding 20 billion yuan, making it the highest-valued unicorn in the end-side AI sector. The significance of this funding is underscored by Mianbi Intelligence's rapid financing activity, which includes multiple rounds led by prominent investors such as China Telecom and Shenzhen Capital Group. The company, which originated from Tsinghua University's NLP lab, has made substantial strides in the AI field, particularly with its MiniCPM series of models that have seen over 38 million downloads across platforms like GitHub and Hugging Face. Looking ahead, Mianbi Intelligence is set to release its MiniCPM-2.4B model in February 2024, focusing on end-side AI applications. The company has already established a strong presence in the automotive sector, with several models from manufacturers like Changan and SAIC expected to integrate its technology. No further timeline was disclosed at the time of publication.
End-Side AI Funding Automotive Technology Artificial Intelligence Startups
One of the World's Largest Hedge Funds on its 86x Growth in Token Spending
Man Group, one of the largest publicly traded hedge funds globally, is exploring the integration of artificial intelligence (AI) into its investment strategies. In a recent discussion, Chief Technology Officer Gary Collier and Head of Data and AI Tushara Fernando addressed the ongoing evolution of AI in finance, highlighting its potential to either enhance existing processes or fundamentally alter the investment landscape. As the firm navigates this technological shift, they are focused on empowering quantitative analysts with AI tools while ensuring safe integration practices. Notably, the company's token spending has surged by 86 times this year, reflecting innovative approaches to leveraging AI in their operations. The conversation underscores the mixed results of AI's current application in investing, as industry leaders weigh its transformative possibilities against traditional methods.
DeepCtrls Secures Hundreds of Millions in Funding to Revolutionize Global Energy Infrastructure with Physical AI
DeepCtrls, a Chinese physical AI company, has successfully secured hundreds of millions in Series B funding, with JinkoSolar leading the investment round alongside other contributors. This significant financial boost will be directed towards enhancing the company’s proprietary PhyAI engine and expanding its DeepBot product into international markets. DeepCtrls is committed to integrating physical mechanisms with artificial intelligence, aiming to revolutionize energy infrastructure and enhance industrial AI applications. The company has already established a strong client base, including major players such as TSMC and Tencent, and is poised for substantial revenue growth as it continues to innovate in the sector.
Physical AI Energy Infrastructure Industrial AI Automation Global Expansion
Funding exceeds 4 billion, valuation at 20.3 billion! This smart furniture unicorn holds 5 billion in order reserves, racing towards a Hong Kong IPO.
A leading smart furniture company, valued at $20.3 billion, has secured over $4 billion in funding as it prepares for an initial public offering (IPO) in Hong Kong. The company, recognized as a unicorn in the tech industry, boasts an impressive $5 billion in order reserves, positioning it for significant growth and investor interest. This strategic move comes as the firm aims to capitalize on the increasing demand for innovative and sustainable furniture solutions, reflecting broader trends in consumer preferences. The IPO is anticipated to further enhance the company's market presence and financial stability, enabling it to expand its operations and product offerings in the competitive smart furniture sector.
Robotics Automation AI
Striding AI Secures Nearly $100 Million in Angel Funding Led by Entrepreneurs and Scholars
Striding AI, a company specializing in embodied intelligence, has successfully secured nearly $100 million in its recent angel funding round. The investment was led by prominent firms such as Charoen Pokphand Group, alongside contributions from several influential entrepreneurs and investment institutions. This substantial funding will be directed towards enhancing talent acquisition, advancing the company's core technologies, and accelerating the deployment of products within the retail and industrial sectors.
Embodied Intelligence AI Technology Robotics Investment Funding
Canadian pension giant joins race to fund India’s AI-fueled data center boom
Canada's largest pension fund is set to acquire an 8.2% stake in CtrlS, a prominent technology company that manages over 15 data centers throughout India. This strategic investment underscores the pension fund's commitment to expanding its portfolio in the technology sector, particularly in the rapidly growing data center market in India. The acquisition is expected to enhance CtrlS's capabilities and support its expansion plans, reflecting the increasing demand for data services in the region. The deal is anticipated to be finalized in the coming months, marking a significant step for both the Canadian pension fund and CtrlS as they navigate the evolving landscape of technology infrastructure.
AI Enterprise Canada Pension Plan Investment Board CPP Investments CtrlS
Harbin Engineering University Alumnus Secures Record Global Funding for Marine Robotics
On June 15, SEAHI ROBOTICS, a company founded by experienced researcher Chen Xiaobo, announced the successful completion of over 1 billion yuan in Series A funding, marking a significant milestone in the marine robotics industry. This funding achievement underscores the company's innovative advancements and its potential for commercial viability in challenging marine environments. With 19 years of expertise in the field, Chen has led SEAHI ROBOTICS to make notable technological breakthroughs, positioning the company as a leader in the sector. The substantial investment reflects growing confidence in the future of marine robotics and the demand for advanced solutions in high-risk aquatic settings.
Marine Robotics Funding Technology Innovation AI Commercialization
Daxiao Robotics Secures Hundreds of Millions in Funding After Dominating Four Major Rankings
Daxiao Robotics has secured a substantial funding round following its Enlightenment World Model's achievement of leading four prominent rankings in the artificial intelligence sector. The company intends to utilize this investment to advance its embodied intelligence solutions and broaden its market reach in diverse industries such as retail and security. By emphasizing cutting-edge technology and forming strategic partnerships, Daxiao Robotics is positioning itself to spearhead the future of artificial intelligence.
Embodied Intelligence AI Solutions Robotics Funding Technology Innovation
NEURA Robotics to raise up to $1.4B in Series C funding for physical AI
NEURA Robotics is set to enhance its capabilities in robot learning and increase the global production of humanoid robots and other systems. The company aims to raise up to $1.4 billion through a Series C funding round, which will support its ambitious expansion plans. This funding initiative reflects NEURA Robotics' commitment to advancing physical artificial intelligence and solidifying its position in the robotics market. The announcement comes as the demand for innovative robotic solutions continues to grow, prompting the company to seek substantial investment to fuel its development and production efforts.
Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Collaborative Robots Development Tools / SDKs / Libraries Humanoids
"BioGeometry" secures hundreds of millions in strategic funding to create a "microscopic world model" in life sciences.
AI-native biotechnology company BaiAo Geometry has successfully secured several hundred million yuan in strategic financing, with investments led by the Shanghai Biomedical Innovation Transformation Fund, Guoke Investment, Dacheng Wisdom, and Xinglian Capital, alongside follow-on investments from GaoRong Capital and the Index AI Industry Innovation Fund. The funds will primarily support the ongoing development of their life sciences micro-world model, GeoFlow, and the advancement of their proprietary drug pipeline. Artificial intelligence is rapidly evolving along two main trajectories: digital AI, represented by large language and multimodal models, and physical AI, exemplified by autonomous vehicles and humanoid robots. Life AI is emerging as a promising frontier, a sentiment echoed by leading global investors and scientists. BaiAo Geometry's GeoFlow model, launched in 2024, aims to understand and design molecular interactions at an atomic level, enabling the creation of novel molecules that have never existed in nature. The company has iterated GeoFlow multiple times, achieving significant advancements in protein structure prediction and de novo design capabilities. By applying Test-Time Scaling technology, BaiAo Geometry enhances the success rate of protein designs without the need for extensive retraining. This innovation allows for the rapid generation and optimization of high-affinity binding molecules, significantly reducing the time and cost associated with traditional drug discovery processes. BaiAo Geometry has established over 20 business development collaborations with domestic and international pharmaceutical companies, focusing on high-specificity antibody design and vaccine development. The company is currently working on the next iteration of GeoFlow, which aims to expand modeling from individual molecules to entire molecular systems, further revolutionizing drug development in the biotechnology sector.
Will Robots Secure the Next Longxin Storage? Which Government Funds Are Investing?
China's hard tech startup ecosystem is undergoing significant transformation, with government funding playing an essential role in the development of embodied intelligence companies. In response to the growing importance of this sector, more than 20 provinces have made it a priority, resulting in a substantial increase in investments. This surge has created a competitive environment where collaboration with local governments has become a crucial factor for startups aiming to thrive. As these companies navigate the landscape, aligning their goals with provincial initiatives is proving vital for securing necessary resources and support.
Embodied Intelligence Government Funding Tech Startups Investment Trends
Jianzhi Robotics Secures Hundreds of Millions in Funding Led by Ant Group and Didi
Jianzhi Robotics, a prominent provider of embodied intelligence solutions, has successfully secured hundreds of millions in financing through multiple funding rounds, with significant contributions from Ant Group, Didi, and Delian Capital. This substantial investment represents the largest financing effort in the embodied intelligence sector to date, solidifying Jianzhi's position as a leader in the industry. The company plans to utilize these funds to improve data quality and accelerate advancements in embodied intelligence technology by implementing innovative solutions and fostering strategic partnerships.
Embodied Intelligence Data Solutions AI Technology Robotics
This AI stock is surging after an ex-OpenAI employee's fund disclosed a stake. Here's why
Dutch cloud provider Nebius has experienced a significant increase in its valuation following a substantial investment from a fund associated with a former OpenAI employee. The investment comes as the tech industry continues to evolve, with companies seeking innovative cloud solutions to support their operations. This strategic move highlights the growing interest in cloud services and the potential for Nebius to expand its market presence. The deal was finalized recently, marking a pivotal moment for the company as it aims to leverage the expertise and resources brought in by the investment. This development underscores the competitive landscape of cloud computing and the importance of securing financial backing to drive growth and innovation in the sector.
JuShen Technology Secures Millions in Seed Funding for Universal Robot Development
JuShen Technology has secured a substantial seed funding round, spearheaded by Sequoia China along with other prominent investors. This funding, finalized recently, will be directed towards advancing their proprietary CereBase3.0 universal robot brain technology. The initiative aims to establish a robust ecosystem for Business-to-Business Robotics as a Service (RaaS) and Consumer-to-Consumer User-Generated Content (UGC). By addressing critical challenges within the industry, this investment is expected to expedite the global rollout of JuShen's innovative robotic solutions, positioning the company as a leader in the rapidly evolving robotics sector.
Universal Robots Robot-as-a-Service AI Technology Data Collection Robotics Innovation
Jubrain Stone Secures New Funding Round to Advance Cognitive World Models in Embodied Intelligence
Jubrain Stone has successfully secured a substantial funding round, spearheaded by leading investors in the industry, to advance its development of cognitive world models aimed at enhancing embodied intelligence. This funding will be directed towards bolstering core technology research, expanding the team, and increasing global market outreach. The initiative seeks to address current challenges in robotic learning and adaptability within real-world environments, positioning Jubrain Stone at the forefront of innovation in the field.
Cognitive World Models Embodied Intelligence AI Research Robotics Machine Learning
Another Round of Funding! What Makes Jeka a Preferred Choice for Industrial Capital?
Jeka Robotics has secured a new round of equity financing, drawing substantial investments from industrial capital. This funding will be directed towards advancing the company's core technology in embodied intelligence and facilitating the commercialization of general-purpose intelligent robots. The successful financing round underscores Jeka's robust capabilities in integrating industrial applications, positioning the company for further growth in the rapidly evolving robotics sector.
Robotics Industrial Automation Embodied Intelligence Investment
Tsinghua-Backed Humanoid Robot Startup Secures Hundreds of Millions in Orders and Nearly 1 Billion in Funding
Accelerated Evolution has secured nearly 1 billion yuan in Series B funding, underscoring its rapid growth in the humanoid robot industry. This funding comes as the company reports a remarkable 500% increase in shipments, indicating a strong demand for its innovative products. With a strategic focus on utilizing soccer as a testing ground for its technology, Accelerated Evolution is positioning itself for substantial expansion across multiple sectors. The investment will enable the company to enhance its research and development efforts, further solidifying its presence in the competitive robotics market.
Humanoid Robots Robot Technology AI Funding Robotics Education
The Real Scarcity in the Embodied Intelligence Industry: Cash Flow, Not Funding or Orders
In the rapidly evolving embodied intelligence sector, companies are facing a critical challenge in achieving sustainable cash flow despite securing substantial funding and reporting high order volumes. Recent analyses reveal that many firms are grappling with negative operational cash flow, underscoring the necessity for robust business models that prioritize long-term viability over simply acquiring orders. This situation highlights the importance of balancing growth with financial health, as organizations strive to navigate the complexities of the market and ensure their continued success. As the industry progresses, stakeholders are urged to focus on sustainable practices that can support enduring profitability and operational stability.
Embodied Intelligence Cash Flow Management Robotics Business Models
WisdomTree Launches Physical AI, Humanoids, and Drones Fund (WDRN)
A new exchange-traded fund (ETF) has been launched, offering investors the opportunity to gain exposure to companies that are facilitating the deployment of artificial intelligence (AI) in real-world applications. This financial product aims to capitalize on the growing demand for AI technologies across various industries, reflecting a significant trend in the market. The ETF is set to attract attention from investors looking to diversify their portfolios with innovative tech-driven assets. By focusing on firms that are at the forefront of integrating AI into everyday operations, the fund seeks to leverage the potential for substantial growth in this rapidly evolving sector. The launch comes at a time when businesses are increasingly adopting AI solutions to enhance efficiency and productivity, underscoring the importance of this investment vehicle in today's economic landscape.
All3 raises $25m in Seed funding to triple productivity in the construction industry through robotics and AI
All3, a London-based startup focused on revolutionizing the construction industry, has successfully raised $25 million in seed funding to enhance productivity through robotics and artificial intelligence. The funding round, led by RTP Global and supported by SuperSeed, Begin Capital, s16vc, and VNV Global, aims to develop an integrated system that includes an AI architecture platform, robotic factories, and Mantis, an autonomous robot designed for on-site assembly. With Mantis already operational and initial commercial deployments set for Germany later this year, All3's innovative approach promises significant cost savings and efficiency improvements, potentially reducing construction timelines by up to 50% and embodied carbon by 25%. The founding team, which previously established the successful grocery delivery service Samokat, is applying their expertise to address the stagnation in construction productivity, which has seen little advancement in the past 50 years. The funding will primarily support research and development efforts in London and Belgrade, as well as the deployment of robots across active construction sites in Germany, where there is a pressing need for approximately 700,000 new homes. CEO Rodion Shishkov emphasized the company's mission to tackle the housing crisis and improve access to quality housing through advanced technology. Early market demand has already validated All3's model, with over 100,000 square meters of residential projects processed using their AI-powered design software, laying the groundwork for a robust construction pipeline in the coming years.
Wujie Power Completes New Financing Round, Total Angel Round Funding Exceeds $200 Million
Wujie Power has announced the successful completion of an angel financing round, securing over $200 million from prominent investors, including Envision Group and Sequoia China. This substantial funding will expedite the advancement of its MWA™ embodied intelligence technology, a key innovation aimed at enhancing the global integration of intelligent robotics. The investment marks a pivotal moment for the company as it seeks to position itself at the forefront of the rapidly evolving robotics sector.
Embodied Intelligence Robotics AI Funding Technology Development
Itai Robotics Raises $455 Million in Pre-A Funding, Setting Record for Embodied Intelligence in China
Itai Robotics has achieved a significant milestone by securing over $455 million in its Pre-A funding round, setting a new record for the largest single financing round in China's embodied intelligence sector. This substantial investment will enable the company to expedite the development of its advanced artificial intelligence technologies and robotic solutions, positioning it for future growth and innovation in the rapidly evolving tech landscape.
Embodied Intelligence AI Robotics Automation Technology Investment Funding
Another $1 Billion in Funding: Why Qianxun Intelligent Leads the Way in China's Embodied Intelligence with Support from Lei Jun and Jack Ma
On April 7, Qianxun Intelligent revealed a substantial funding round of $1 billion, spearheaded by Shunwei Capital and Yunfeng Capital. This latest investment brings the company's total fundraising to an impressive $3 billion within a span of just over two months. Qianxun's pioneering work in embodied intelligence, coupled with strategic partnerships with industry leaders such as Lei Jun and Jack Ma, solidifies its status as a key player in the technology sector. The influx of capital is expected to bolster the company's innovative initiatives and enhance its competitive edge in the rapidly evolving market.
Embodied Intelligence Robotics AI Funding Technology Innovation
Report: Crypto Giant Tether in Talks to Lead €1B Funding Round in Neura Robotics
A recent report from the Financial Times reveals that a prominent stablecoin issuer is in negotiations to spearhead a significant funding round for a German humanoid robotics company. This investment could potentially elevate the company's valuation to as high as €10 billion. The discussions indicate a growing interest in the robotics sector, particularly in humanoid technology, as investors seek to capitalize on advancements in automation and artificial intelligence. The outcome of these negotiations could have substantial implications for both the stablecoin market and the future of robotics in Europe.
Morgan Stanley Neura Robotics Europe Tether
UK Robotic Construction Company All3 Raises $25M in Seed Round Funding
UK-based construction robotics startup All3 has successfully secured $25 million in seed funding, with RTP Global leading the investment round. The company is focused on revolutionizing the construction industry by developing an integrated platform that utilizes autonomous robots to assemble buildings directly on-site. In addition to the robotic assembly, All3's innovative approach incorporates artificial intelligence to design building components and robotic factories that manufacture these parts prior to their arrival at construction sites. This funding will enable All3 to advance its technology and streamline the construction process, addressing the growing demand for efficiency and automation in the sector.
AI AI Funding & Investment Robotics ALL3 autonomous construction autonomous robots
Saildrone and Thales Australia Demonstrate Game-changing Capability for Autonomous Anti-Submarine Warfare
Saildrone, a leader in maritime autonomy, has partnered with Thales Australia to successfully integrate the BlueSentry thin-line towed array with the Saildrone Surveyor, resulting in a pioneering system designed for autonomous long-endurance undersea maritime domain awareness (MDA). This innovative project, backed by funding from the Office of Naval Research (ONR), represents a significant advancement in the field of persistent, real-time undersea surveillance. The collaboration aims to enhance the capabilities of maritime operations by providing continuous monitoring of underwater environments, thereby improving security and situational awareness in naval operations. The demonstration highlights the potential for autonomous systems to revolutionize maritime surveillance and response strategies.
saildrone thales australia autonomous anti-submarine warfare (asw)
International Research Team Embarks on Greenland Expedition to Study Melting Glaciers
An international team of researchers is set to begin a six-week expedition in Greenland on July 16, 2026, to investigate the rapid melting of fjord glaciers and its implications for the Atlantic Ocean. The study aims to assess how this melting contributes to potential climate tipping points, particularly affecting ocean currents. The research is part of a five-year project called GIANT, led by the British Antarctic Survey (BAS) and funded by the Advanced Research + Invention Agency (ARIA). The team will utilize advanced technologies, including drones, marine robots, and sensors, to gather data that will enhance predictions regarding the future of Greenland's glaciers and their environmental impact. As the expedition unfolds, attention will be focused on the effects of Greenland's melting ice on the North Atlantic Subpolar Gyre and the Atlantic Meridional Overturning Circulation (AMOC). Dr. Kelly Hogan from BAS emphasizes the significance of modern tools in exploring glacier-ocean interactions, highlighting the urgency of understanding these changes as they may occur within decades.
rrs sir david attenborough glaciers melting fjord glaciers climate change giant (greenland ice sheet to atlantic tipping points british antarctic survey (bas)
Neura Robotics raises record Series C of $1.4 billion to accelerate physical AI platform
Neura Robotics, a leader in cognitive robotics and the developer of the Neuraverse, has secured a significant Series C financing round totaling up to $1.4 billion. This funding aims to expedite the company's goal of establishing what it describes as the world's foremost physical AI platform. The substantial investment indicates a strong market valuation for Neura Robotics, reflecting investor confidence in its innovative technology and future potential.
Artificial Intelligence News Robot simulation ai robotics automation news Autonomous robots
Figure AI's CEO just raised $700 million for his next big bet
Hark, a company established by Brett Adcock, the CEO of Figure AI, has successfully raised $700 million in funding. This significant investment positions Hark to compete with major players in the artificial intelligence sector, including OpenAI, Apple, Google, and Meta. The funding aims to accelerate the development of innovative AI hardware solutions, reflecting the growing demand for advanced technology in various industries. With this financial backing, Hark plans to enhance its capabilities and carve out a substantial presence in the competitive landscape of AI hardware innovation.
Tech AI Startups tech ai brett-adcock
Multiple States Expected to Challenge Paramount-WBD Merger with Lawsuit
A coalition of state attorneys general, including California's Rob Bonta, is anticipated to file a lawsuit challenging the proposed acquisition of Warner Bros. Discovery by Paramount Skydance. This legal action is expected to focus on antitrust concerns, potentially blocking the merger that aims to unite two major film studios and their streaming platforms. The merger, which has already received approval from the U.S. Department of Justice and various global jurisdictions, would create the largest portfolio of TV networks in the U.S. Paramount CEO David Ellison has indicated that the combined streaming services would operate as a single entity. However, the deal has faced scrutiny from lawmakers regarding foreign funding and its implications for competition in the industry. As the merger moves closer to completion, with a target closing date of September, the lawsuit could significantly impact the timeline and outcome of this high-profile acquisition. The European Union is still reviewing the deal, with a provisional deadline set for July 22, as concerns about job losses and fewer film releases continue to circulate within Hollywood.
Advancements in Embodied Intelligence: Robots Learning Through Experience
A robot in a warehouse near Austin has fallen for the 4,000th time without assistance, showcasing the progress of embodied intelligence. This technology allows machines to physically interact with the world, fundamentally changing how they learn. Instead of merely processing information, these robots learn through experience, such as understanding gravity by knocking over objects. Embodied intelligence is gradually integrating into daily life, with humanoid robots working on assembly lines and assisting police in Hangzhou. In Malaysia, the Prime Minister introduced an AI digital twin to handle citizen inquiries autonomously. However, in Europe, there is growing concern about job displacement, with unions negotiating wage structures in anticipation of humanoid robot deployment. The societal divide is evident: while Asian countries view robots as helpful assistants, Europeans express fears of job loss. The future of embodied intelligence will depend on societal acceptance, highlighting a complex relationship between technology and human values. No further timeline was disclosed at the time of publication.
Embodied Intelligence Robotics AI Technology Human-Robot Interaction
Fieldwork Robotics Receives £2.5 Million Investment for Berry Harvesting Automation
Fieldwork Robotics has secured a £2.5 million investment from SEED Innovations to enhance its selective and modular berry harvesting robots. This funding is part of a Seed+ fundraising initiative announced in April 2026, aimed at addressing labor shortages and rising costs in berry production. The investment will facilitate the transition from technology validation to commercial trials, with production robots already deployed in a two-year program in Norfolk and Stafford. The significance of this investment lies in its potential to alleviate pressing challenges faced by berry growers, including labor shortages and increased harvesting costs. By utilizing autonomous harvesting robots, Fieldwork aims to boost productivity and reduce reliance on seasonal labor, thereby minimizing food waste and stabilizing consumer prices. Jim Mellon, chairman of SEED Innovations, emphasizes the opportunity for robotics and AI to tackle real-world agricultural issues, aligning with Fieldwork's mission to enhance farm efficiency. Looking ahead, Fieldwork Robotics anticipates operating multi-robot fleets on farms by 2027, contingent on the success of ongoing trials. Additionally, the company plans to expand its operations internationally, with trials set to take place in Australia as part of its global growth strategy. No further timeline was disclosed at the time of publication.
Agriculture Financials & Investments agri robotics agricultural robotics agriculture automation
Emesent Secures $17 Million to Enhance AI-Driven Drone Operations and Expand Manufacturing
Emesent, an Australian drone mapping company, has raised $17 million to boost its AI-powered autonomous operations. This funding includes a $7 million venture debt facility from the National Reconstruction Fund Corporation and a $10 million equity round from notable investors such as Main Sequence and QIC Ventures. The investment aims to enhance the capabilities of drones in complex environments with minimal human intervention. The significance of this funding lies in Emesent's strategy to focus on software advancements alongside hardware improvements. The company plans to develop its Cortex AI autonomy software and Aura cloud platform, which will enable drones to operate in GPS-denied areas and process 3D mapping data efficiently. Emesent's existing Hovermap LiDAR payload is already utilized in over 200 mine sites globally, showcasing its established presence in the industrial drone sector. Looking ahead, Emesent intends to expand its manufacturing capabilities in Queensland while pursuing growth in international markets. CEO Charles Miller emphasized the importance of this investment in enhancing AI and autonomy for industries such as mining and defense. No further timeline was disclosed at the time of publication for the anticipated developments from this funding round.
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Hippo Harvest Secures $30 Million Series C to Expand Robotic Greenhouse Operations in California
Hippo Harvest has successfully closed a $30 million Series C funding round, led by Cox Farms, the largest greenhouse operator in North America. This funding will facilitate the expansion of Hippo Harvest's operations with a new 30-acre facility in Hollister, California, which is currently undergoing permitting. The company specializes in producing USDA-certified organic greens using robotics and machine learning technologies, aiming to scale its production capabilities significantly. The significance of this funding lies in Hippo Harvest's commitment to enhancing its robotic growing systems, which will increase its growing capacity from one acre to a much larger scale. This expansion is expected to accelerate the commercialization of indoor-grown spinach, tapping into the growing demand for organic produce. The integration of advanced technology in their greenhouses positions Hippo Harvest to meet retail buyers' needs more effectively. Looking ahead, Hippo Harvest is poised to make substantial advancements in the indoor agriculture sector. The timeline for the completion of the new facility and the rollout of the next-generation growing system remains undisclosed, but the company is focused on leveraging this investment to enhance its market presence and operational efficiency in the coming years.
E-Control Smart Driving Debuts on Hong Kong Stock Exchange with Strong Opening
E-Control Smart Driving, a prominent player in the autonomous mining vehicle sector, made its debut on the Hong Kong Stock Exchange on July 8, successfully raising around HKD 2.298 billion. The company, which has established a substantial market presence and an expanding customer base, is currently grappling with financial difficulties, having reported cumulative losses of approximately HKD 1.239 billion over the past three years. The funds generated from the initial public offering will be allocated towards enhancing software development and facilitating international expansion, as the mining automation industry continues to evolve rapidly.
Autonomous Mining Vehicles IPO Mining Automation Technology Development
The Paradox of Embodied Intelligence: Massive Investment Amidst Slow Product Development
In the first half of 2026, the embodied intelligence sector saw a remarkable influx of investment, amassing 93.5 billion yuan through 322 financing events. However, despite this substantial financial backing, product development within the industry is still in its early stages, with many leading companies facing difficulties in generating significant sales. Industry experts highlight the critical need for securing ongoing funding and developing practical applications to navigate the challenging path toward commercialization.
Embodied Intelligence Robotics Investment Commercialization Technology Development
AI Models Overthink Problems—and It’s a Security Risk
Large language models (LLMs) that can think through problems step-by-step have significantly increased the scope of tasks that AI can tackle. But new research suggests these reasoning capabilities also introduce a critical vulnerability that could allow attackers to slow these systems to a crawl.While earlier generations of LLMs would immediately produce a response to a user’s request, today’s most advanced models generate an internal monologue where they break down the problem into steps and reason about the best way to tackle it before providing an answer. This has allowed AI to tackle increasingly complex problems, particularly in areas like coding and math.However, previous research has shown that these models are susceptible to sometimes producing excessively long streams of reasoning that do little to boost performance, a phenomenon known as “overthinking.” In research presented this week at the International Conference on Machine Learning 2026 in Seoul, researchers from Zhejiang University and e-commerce giant Alibaba in China demonstrate that they can deliberately induce overthinking by subjecting models to logically inconsistent prompts. The result is a form of denial-of-service attack on commercial AI models.Evolutionary Prompt Attack on LLMsThe team has developed an evolutionary algorithm that corrupts the logical structure of prompts, causing models to spiral into overthinking as they attempt to reason through fundamentally unsolvable problems. Generating longer responses costs more and increases the load on a model provider’s servers, so if done at scale, the researchers say, this could significantly degrade the experience of legitimate users. The attack was effective against reasoning models from leading AI companies including DeepSeek-R1, Alibaba’s Qwen3-Thinking, OpenAI’s GPT-o3, and Google’s Gemini 2.5 Flash and resulted in outputs up to 26 times as long as standard responses on a standard math benchmark.“Across multiple datasets and reasoning models, our method substantially amplifies the output length,” Wei Cao, a masters student at Zhejiang University, wrote in an email to IEEE Spectrum. “Our results suggest that overthinking is not an isolated phenomenon specific to individual models, but rather a shared vulnerability among modern reasoning models.”The team’s approach builds on previous research from another group of researchers that showed reasoning models tend to overthink when faced with a question in which a key premise has been removed—such as asking how far someone who walks ten miles a day covers in total without specifying how many days they walked for. Rather than identifying that the problem is unsolvable, models often engage in extended but ultimately fruitless reasoning loops in an attempt to answer the question.Taking the idea a step further, the authors took 940 problems from three math benchmark datasets and used an LLM to break down their logical structure into a set of premises and a final question. The genetic algorithm then jumbled these up using a variety of “mutations,” including swapping premises between problems, adding extra premises to problems, deleting existing premises from problems, and swapping the final questions between two sets of premises.After each round of mutations, the problems are scored on how many words they cause a target model to output and also whether they increase the frequency of specific linguistic markers of overthinking—words like “but,” “wait,” “maybe,” or “alternatively.” The problems that scored highest on both measures are retained and the remaining ones are jumbled up again, and this process is repeated for five generations. Crucially, the approach doesn’t require access to the internals of a model and can generate malicious prompts by simply querying the target, which makes it possible to attack closed-source commercial services, says Cao.Overthinking Vulnerability in AI ModelsThe researchers found that the approach consistently led to outputs several times longer than those generated by the unmodified questions for the reasoning models they tested it on. The biggest jump came from DeepSeek-R1 on the MATH dataset, which is made up of problems from high school math competitions, where the maximum output was 26.1 times as long as the longest response the model provided to unaltered questions. While the main thrust of the research was focused on math problems, the authors also tested it on coding, scientific reasoning, and dialogue challenges, and observed significant jumps in output length in all three.One challenge for the approach is that developing the malicious prompts requires repeated queries to expensive reasoning models, which Cao admitted could limit its cost-effectiveness. However, the researchers also demonstrated that when they used a smaller, cheaper model to generate the malicious prompts they were still able to induce the target models to produce outputs several times longer than normal. This ability to transfer malicious prompts between models significantly increases the attack’s feasibility, Cao wrote.However, he pointed out that the goal of the research is not to develop a practical DoS attack on reasoning models. Factors like the providers’ pricing model, rate limiting policies, context window size, and existing defenses could all impact how effective the approach is. The intention is instead to highlight these models’ vulnerability to logically inconsistent prompts so that providers can attempt to mitigate the problem.“Our objective is not to demonstrate that large-scale attacks can be launched at negligible cost, but rather to establish that this attack surface exists,” he wrote. “Our results indicate that the vulnerability represents a realistic security concern.”
Llms Artificial-intelligence Denial-of-service Cybersecurity
IEEE Honors Robotics Pioneer Toshio Fukuda
Toshio Fukuda has been blazing trails for most of his career. He is considered to be one of the most prolific scholars in robotics, writing more than 2,000 research papers and authoring several books on the field. He’s an influential figure thanks to his pioneering work developing biomedical robotic systems, industrial robots, micro-nano robotics, mechatronics, and AI-driven automation.Fukuda launched one of the first robotics conferences, the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). It is still popular almost 40 years later.Toshio FukudaEmployerEgypt-Japan University of Science and Technology, in Alexandria TitleProfessor and vice president of research Member gradeLife Fellow Alma matersWaseda University, in Tokyo; University of Tokyo An IEEE Life Fellow, he is a professor emeritus in the department of micro-nano systems engineering and a visiting professor at Nagoya University, in Japan, where he taught for nearly 25 years. Currently, he is a vice president of research at the Egypt-Japan University of Science and Technology, in Alexandria, Egypt.Within IEEE, Fukuda has held top volunteer positions including the organization’s highest office: He served as IEEE president in 2020, becoming the first person of Asian descent to hold the role.He’s a former program director of Japan’s Moonshot program, which by 2050 intends to develop advanced AI robots.Born in Japan, Fukuda has been recognized by the country for his contributions to science with two of its highest awards: the Medal of Honor with a purple ribbon in 2015 and the Order of the Sacred Treasure in 2022.IEEE honored him with this year’s Richard M. Emberson Award for “distinguished service advancing the technical objectives of IEEE, especially in the area of robotics.” The IEEE Board-level award is sponsored by the IEEE Technical Activities Board. Fukuda received the award on 24 April at a ceremony in New York City.As a former IEEE president who has served as a master of ceremonies at several of the organization’s major award events, Fukuda noted that he is more accustomed to bestowing awards than receiving them.“It’s very interesting to be on the receiving end,” he says.The journey into robotics researchAs a teenager, Fukuda spent his summer breaks teaching himself how to build things including transistor radios and steam engines.“It was very nice to have a hands-on hobby and make these kinds of things myself,” he says. His experimentation led him to study engineering.He earned a bachelor’s degree in engineering in 1971 from Waseda University, in Tokyo. He says one of his professors there—Ichiro Kato, regarded as the father of Japanese robotics research—was a good mentor who made a positive impact.Fukuda’s research interests were robotics and mechatronics, a field that combines robotics, electronics, computer science, and control systems.He went on to earn a master’s degree and a doctorate in science from the University of Tokyo, in 1971 and 1977. During those years, he also attended Yale, where he conducted research on advanced control theory in 1973.He reflects fondly on his time at Yale: “It was a very nice environment and a kind of free-thinking atmosphere. It motivated me to study more.”“IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.”While at Yale, Fukuda served as an assistant to his advisor—which led him to consider a career in academia, he says, because he enjoyed the freedom that research work afforded him.But he realized that such freedom comes with a price. University researchers are expected to raise the money that funds their work. He compares researchers to small-business owners who have to bring in money to keep their enterprise afloat.That realization led him to select robotics as his field because he intended to develop technologies useful to industry, he says.After earning his doctorate, he returned to Japan in 1977 to work as a research scientist at the government’s Mechanical Engineering Laboratory, later renamed the National Institute of Advanced Industrial Science and Technology, in Tsukuba.“There was a lot of research going on at the lab, including practical robotics and theory,” he says.He left Japan in 1979 to become a visiting research fellow at the University of Stuttgart, in Germany. During his year there, he studied systems, software problems, and related topics.He returned to Japan and was hired as an associate professor of mechanical engineering at the Tokyo University of Science. He conducted research into practical uses for robots by visiting industrial plants. He decided to develop robots that inspect industrial equipment such as those used in assembly plants, oil refineries, and power stations—places that “can be hostile environments for humans,” he says.His work drew interest from chemical, oil, and utility companies.“I got a lot of money from them for this very practical application, which funded my research,” he says, laughing.Developing popular robotic systemsFukuda grew tired of making those robots, he says, so he switched to creating ones for scientific applications. He developed many techniques, but he probably is best known for his modular, cellular robotic systems (CEBOTs), which he introduced in 1985.He has described how CEBOTs work in numerous papers published in the IEEE Xplore Digital Library.The CEBOT system is composed of a number of autonomous robotic cells that stick together like interlocking Lego plastic bricks, he says.Each cell is a fundamental modular unit that has a function. When a simple task is given, the system can analyze it and generate the structure of the cellular manipulator. The cells connect to and detach from each other through connection mechanisms and cooperate mutually, creating complex structures and configurations.“You start developing from the component-wise to the cell-wise to a small functional unit—and then you come up with clusters that make bigger systems. We can make a society of robot beings like that,” he explained in his oral history published on the Engineering and Technology History Wiki. “It’s a distributed robotic system, a self-organized robotic system, and also an evolutionary robotic system.“It’s also a fault-tolerant robot system because if something is wrong, you just remove those things and make a new one. You keep the system working. That’s a great thing.”Today CEBOTs are used for a variety of tasks such as delivering medication in hospitals, assisting with planting crops, and transporting products in distribution centers. Check out IEEE Spectrum’s Robots Guide for news from the world of robotics.In 1989 Fukuda joined Nagoya University as a professor of mechanical engineering and micro-nano systems engineering. During his 24-year career there, he was director of the university’s Center for Micro-Nano Mechatronics. He developed a long list of technologies at the university, including many for medical applications. He also conducted groundbreaking research into intelligent robotic systems and micro- and nano-robotics.Another technology he is known for is brachiation robots, which he helped develop in 1988. He calls them monkey robots because they’re based on the pendulum-like movement of monkeys swinging from tree to tree. The gravity-based locomotion enables continuous movement.Brachiation robots now are inspecting high-voltage transmission towers and bridges, searching damaged buildings for survivors, and performing maintenance on pipelines and cables.Fukuda retired from the university in 2013 and was named professor emeritus.He didn’t stay retired for long, though. He next held a teaching appointment at Meijo University, in Nagoya, until he left in 2022 to join the Egypt-Japan University.A prominent volunteerHe joined IEEE in 1980 at the encouragement of one of his research advisors, Professor Fumio Harashima, now an IEEE Life Fellow. After attending conferences and reading the organization’s publications, Fukuda says, he looked forward to becoming more involved.“I wanted to know how to organize a conference and how to edit a paper for one of its Transactions,” he says. “I wanted to know what was going on from inside the organization, not just the outside.”In 1988 he was the founding chair and organizer of IROS, in Tokyo. The conference had 330 attendees that year, and was supported by Harashima. Today it is one of the largest and most prestigious conferences on the topic, attracting more than 9,000 people annually. Out of 120,000 conferences, it was the only conference in the Nature Index database for this year, Fukuda says.In 1996 he and other members launched IEEE Transactions on Mechatronics.He was the founding president of the IEEE Nanotechnology Council, which was established in 2002. He is considered a pioneer in nanotechnology research, particularly regarding how it relates to robotics.Over the years, he has held numerous volunteer positions on IEEE editorial boards and committees.He was the 1998–1999 president of the IEEE Robotics and Automation Society, becoming the first non-U.S. member to hold the title.He was director of IEEE Division X (2001–2002 and 2017–2018), which covers intelligent systems, biological engineering, robotics, control systems, and photonic technologies. He served as the 2013–2014 director of IEEE Region 10 (Asia-Pacific).As the 2020 IEEE president, Fukuda saw the organization through the early part of the COVID-19 pandemic. Because of travel restrictions, he realized IEEE should change how it offered its in-person services, specifically educational programs. He encouraged IEEE Educational Activities to develop an online learning platform. The IEEE Learning Network started with just three courses and now offers nearly 2,000 courses, webinars, and learning materials.An award-winning memberThe Emberson Award joins a slew of other recognitions Fukuda has received from IEEE. They include several from the IEEE Robotics and Automation Society: a 2004 Pioneer Award, a 2009 Saridis Leadership Award, and the 2011 Harashima Award for Innovative Technologies. He is also a recipient of the Board-level 2010 IEEE Robotics and Automation Technical Field Award.He says he feels strongly that IEEE should be a diverse organization that is welcoming to all. As IEEE president, he led efforts to devise a diversity, equity, and inclusion program. Several policies, procedures, and bylaws were revised to give members a safe, inclusive place for discourse.“It’s important for IEEE to make everyone feel comfortable,” he says. “DEI programs are important. All people should be equal. IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.“It accepted me, from the Far East. That’s why I like it.”You can learn more about Fukuda and his career from the oral history conducted by the IEEE History Center.
Robotics Robots Ieee-member-news Type-ti Ieee-awards Toshio-fukuda
Small-AI Models Gain Traction Around the World
One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup’s AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year.The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item’s molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile—or reports that it’s phony.Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge’s native Nigeria. But that morning in South Africa, it didn’t work. “I was shocked,” Alonge says.The spectrometer connected to the AI model—but the data center was 14,000 kilometers away and bandwidth was limited. “Our server was in the United States, and just to get the result of a single scan was taking me over 5 minutes.”So Alonge immediately asked his engineers to shrink the AI model down to a smaller, low-power, unconnected version that could run entirely on his Android phone. They produced it 2 hours later, and that saved the demo.More importantly, the work birthed a new version of his device, which can authenticate a pill in places without broadband, computers, or even reliable electricity. It also turned Alonge into an advocate for this kind of “small AI.”Small AI for Global Health Care AccessSmall AI is a far cry from wealthy nations’ colossal large language models (LLMs), hyperscale data centers, multibillion-dollar investments, and debates about AI consciousness. But for millions of people around the world, the only AI that matters, and often the only kind available, is small. (According to a World Bank Report issued in November, only 0.7 percent of internet users in the world’s poorest countries have used ChatGPT, compared to a quarter of all internet users in the most developed nations.)“Most people are discussing AI from the LLM/generative side. But that needs a lot of computing power, electricity, massive data, and skilled people to manage it,” Ajay Banga, president of the World Bank, said last January at the World Economic Forum, in Davos. “Outside the developed world, other than maybe India and China, very few countries have that combination.”By contrast, small AI can deliver useful, even life-saving services to people in areas that have none of those things, Banga said. In India, where the government’s AI plans call for more development of small AI, many such systems are working for farmers.For example, a drone-based system developed by Bala Murugan and colleagues at the Vellore Institute of Technology, in India, takes photos of cashew plants and quickly identifies those with splotches that indicate disease. All the processing takes place on the drone itself, so there’s no need for a computer on-site, nor for a connection to a central server.Using small language models trained for a specific problem, and sometimes running on cheap, low-power devices, other small-AI implementations have been developed to identify ant infestations in a Uruguayan vineyard, detect the presence of malaria-carrying mosquitoes in a number of nations, and run electrocardiograms from an Arduino device in parts of Brazil that lack access to more complex equipment.“This is the most important area in AI nowadays,” says Marcelo José Rovai, a professor at the Institute of Engineering and Information Systems at the Federal University of Itajubá, in Brazil, who was involved in all three projects. “It’s growing very fast.”Low-Power, Small-AI Models on Devices Small AI models can run on a variety of low-power devices, including [from left to right] an Arduino Nano 33 BLE Sense, a Seeed Wio Terminal, and an Arduino Portenta.Moez AltayebFor Alonge, Rovai, and other advocates, small AI is not just “a promising trend,” as that November World Bank report calls it. It may be, in the long term, the form of AI that will touch the most lives and remain sustainable after some of the giant models become too costly for most users.“I think the future of AI is not like one giant model, at a center. I think it’s millions of small, precise models deployed at the edge, each one solving like a specific problem, a specific context,” Alonge says. This is partly because much of humanity—including people in parts of rich countries as well as the developing world—lives without access to cutting-edge frontier models. But, he says, it’s also because those models are not sustainable.“If someone is not subsidizing it, most people will not be able to afford those models. So those of us who are said to be small-AI developers are the ones who will have to build for the majority of the world,” Alonge says.There is no strict definition of “small AI,” but people often use the term for language models with at most a few billion parameters. (Compare that to cutting-edge models, which can include more than a trillion.) That’s small enough to run directly on a phone or a Raspberry Pi. That’s what allows these applications to run on devices without a connection to a data center and use only a few watts of power, often supplied by a battery or a solar panel.Despite their small footprint, these models aren’t fundamentally different technology from that of gigantic AI models, Rovai says. Many instances of small language models were created the same way the phone-based version of Alonge’s pharmaceuticals scanner was—by “pruning” large models, or removing the parameters that weren’t involved in the task. The result is a system that’s less capable generally but still very good at the specific job it was pruned for, Rovai says. A lighter version of RxAll’s RxScanner spectrometer sends its results to an AI model run locally on a phone to check that a drug’s molecular signature is genuine.RxAllOther small models are created by “distillation.” They are trained to mimic a large model, until their performance approaches that of their “teacher,” Rovai says. In other cases, a larger model’s precision is reduced, for example, so that a model run on 32-bit architecture can run on 8-bit designs. In situations where the machine learning application is being used to classify data or predict patterns (like an ant infestation), it’s trained from the beginning on a small device, not derived from a larger model at all. Running all these small, specialized systems is becoming easier, Rovai says, for two reasons.The first reason is that hardware is getting better and more capable while using less power, he says. This means more and more phones can run small AI—especially those equipped with neural processing units, which are specialized chips that handle AI tasks like facial recognition and changing the brightness, shadows, or contrast in a photo.In 2025, slightly more than a third of all smartphones shipped worldwide were capable of running generative AI, and that figure will reach 45 percent by the end of this year, according to the technology research firm Counterpoint. By the end of next year, slightly more than half of all smartphones will be able to run a small AI model.The second reason Rovai cites is the shrinking footprint of language models. Both Google DeepMind’s Gemma 4 (released in April) and Alibaba’s Qwen 3.5 are “fantastic” for small AI, Rovai says. Both models are “open weight,” meaning users can adjust the connections between parameters to suit their needs. This makes it easy, for example, “to take a lot of data from, say, the milk industry and retrain the model specifically on that,” Rovai says.Rovai illustrated these reasons on a Zoom call, using one of his most recent experiments. Holding up a device, he says, “This is the new Arduino UNO Q—a US $50 device with a Qualcomm chipset. I’m running a language model here, which collects data from sensors and analyzes that data to detect tiny pools of water where mosquitoes might be breeding. It takes 3 watts to run it.”Support for Small-AI DevelopmentConvinced that millions of people are already benefiting from these kinds of applications, the World Bank now actively promotes small AI with grants, mentorship programs, financing, technical advice, and models of government policies that are friendly for small-AI development. For example, in Rwanda, the World Bank is backing a government program to help low-income households get devices that can run AI.All that said, no one claims that large language models are going away entirely. To create a generative AI that can run on a phone or other small device requires the architectural insights, data processing, and results of a larger model, Rovai says. “We need the big models to create these smaller models.” And for all that small AI can benefit people without access to big AI, the technology can’t solve the larger problems of development and digital inequality, Alonge says. Implementing small AI won’t allow nations to escape the challenge of creating an ecosystem to support AI: reliable power, a supply chain that works, and an educational system that develops the talents needed to create AI tools.Though his drug-scanning system can run for days on a phone with no connection, “you still want to be able to enable periodic syncing for updates with new signatures for the medications and analytics,” Alonge says. “And even when you are using batteries, reliable power is important. That phone battery is not going to last forever.”In many parts of the world, the future of small AI isn’t assured, he says. “It works, and many places will eventually need to use it. The question is whether or not the political actors are wise enough to invest in infrastructure to support it long term.”
Small-language-models Artificial-intelligence Llms
Data-Driven Unicorns: $2 Billion Valuation in Robotics Without Profit
In response to the growing demand for effective robot training, companies in the robotics sector are increasingly prioritizing the generation of high-quality multimodal training data over the mere construction of robots. This shift highlights a significant trend towards recognizing data as a vital resource for enhancing embodied intelligence in robotics. Several firms have successfully secured substantial funding to develop innovative solutions that cater to this emerging need. As the industry evolves, the focus on data-driven approaches is expected to play a crucial role in advancing the capabilities of robotic systems, marking a transformative phase in the field.
Robotics Data Training VR Technology AI
Yushu Technology's IPO Approved, Countdown Begins for 'First Humanoid Robot Stock'
Yushu Technology has secured approval for its initial public offering (IPO) on the Sci-Tech Innovation Board, with plans to raise around 4.2 billion yuan. The funding will be directed towards the development of advanced robotics, as the company specializes in high-performance humanoid and quadruped robots. With this strategic move, Yushu Technology aims to capitalize on anticipated revenue growth in the robotics sector, reinforcing its position as a leader in the industry. The IPO approval marks a significant milestone for the company, which is poised to contribute to the evolving landscape of robotics technology.
Humanoid Robots Robotics Development IPO AI Technology
Ant Group Leads $70 Million Investment in Suzhou Lexiang Smart Technology for Home Robotics
Suzhou Lexiang Smart Technology has successfully raised nearly 500 million RMB in a Pre-A funding round, with Ant Group leading the investment. This funding will be utilized to enhance the company's home robotics brand, 'Zeroth'. The company has already received over 30,000 orders for its innovative humanoid robots, which are designed to facilitate family interaction and provide support. With this strong demand, Lexiang anticipates a remarkable 600% revenue growth by mid-2026, reflecting its commitment to advancing technology in the home robotics sector.
Home Robotics AI Technology Investment Smart Home Humanoid Robots
Chinese robot maker Unitree wins approval for $619 million Shanghai IPO
Unitree Robotics, a Chinese manufacturer of robots, has secured regulatory approval for its initial public offering (IPO) on Shanghai's STAR Market, aiming to raise approximately 4.2 billion yuan ($619.4 million). This approval, announced by China's securities regulator, marks a significant step for the company as it prepares for one of the most anticipated technology IPOs in China. The decision comes amid a resurgence in the country's onshore IPO market, which has seen a notable increase in activity following a prolonged slowdown. In the first half of the year, A-share IPOs on major exchanges raised $7.7 billion, reflecting a 64.4% increase compared to the previous year. Unitree plans to issue at least 40.45 million shares, although it has yet to announce a specific launch date or pricing details. The funds raised will be allocated towards research in artificial intelligence for robots, development of new robotic products, and the establishment of a smart robot manufacturing base. Based in Hangzhou, Unitree specializes in humanoid and four-legged robots, as well as various robot components. The upcoming IPO will serve as a litmus test for investor interest in China's burgeoning robotics sector, which is central to the government's strategy to integrate AI technology into various aspects of daily life and industry.
German deftech Quantum Systems lands $1.2bn Series D at $8bn valuation
German drone manufacturer Quantum Systems has successfully raised $1.2 billion in a Series D funding round, significantly increasing its valuation to $8 billion. This funding effort, which reflects strong investor confidence in the company’s innovative technology and growth potential, marks a pivotal moment for Quantum Systems as it seeks to expand its operations and enhance its product offerings in the competitive drone market. The investment comes at a time when demand for advanced drone solutions is surging, driven by various sectors including logistics, agriculture, and surveillance. With this substantial financial backing, Quantum Systems aims to accelerate its development initiatives and strengthen its position as a leader in the drone industry.
News
Interview with Meitu CEO Wu Xinhong: Creating AI products is an unpredictable game.
As of mid-June 2026, Meitu's founder and CEO, Wu Xinhong, has logged over 230,000 kilometers and nearly 300 hours of flight time, traversing continents from Asia to South America, including Brazil and Argentina. This extensive travel reflects Meitu's strategic expansion into international markets driven by its AI products, which have significantly boosted its user base and revenue. The company reported a revenue of 3.858 billion yuan and a net profit of 965 million yuan in 2025, marking a 64.7% year-on-year increase. AI-driven tools like Wink and Agent RoboNeo have gained immense popularity, particularly in Southeast Asia and Latin America, contributing to a resurgence in overseas monthly active users, which reached 100 million. To adapt to the AI era, Meitu has implemented organizational changes, establishing small innovation studios and providing substantial funding for AI projects. The company has also streamlined its product development process, aiming to reduce the time from concept to market launch to just one month. During the recent Meitu Imaging Festival, four new AI products were unveiled, including Picchi, an AI portrait retouching tool, which emerged from user behavior insights. Wu emphasizes the importance of rapid product development and market adaptability, stating that success often comes from exploring uncompetitive niches. As Meitu continues to focus on markets like Brazil and Mexico, it aims to leverage user feedback to identify new growth opportunities while maintaining a balance between innovation and profitability.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
