Industry Briefing

North Carolina Turnpike Authority Uses Drone LiDAR to Improve Oversight on Complete 540 Project

The North Carolina Turnpike Authority (NCTA) is implementing a pilot program that utilizes drone-based LiDAR technology to enhance oversight of the final phase of the Complete 540 project. This initiative aims to provide more accurate tracking of construction progress and improve safety measures on major transportation infrastructure. As construction advances, the use of aerial LiDAR will allow for a detailed assessment of the project, ultimately facilitating better scheduling and oversight. The integration of this technology marks a significant step in modernizing construction management practices in North Carolina.

Prox Industries, a physical AI company from the University of Tokyo, ranks 2nd in ICRA 2026 VLA competition.

Prox Industries, a physical AI startup developed by researchers at the University of Tokyo's Matsuo Lab, has announced that it secured second place in a competition held during the ICRA 2026 Workshop titled "From Data to Decisions: VLA Pipelines for Real Robots." The event, organized by the AI Robot Association (AIRoA), featured 36 competing teams. This achievement highlights Prox Industries' innovative contributions to the field of robotics and artificial intelligence.

Teledyne FLIR OEM Expands Prism AI Platform with Ground ISR Software for Military Target Classification

Teledyne FLIR OEM has launched Prism™ Ground ISR, an advanced AI-powered software stack aimed at enhancing ground-based intelligence, surveillance, and reconnaissance (ISR) missions. This new software expands the capabilities of the existing Prism software family, which previously focused on counter-drone applications. The introduction of this technology marks a significant development in military target classification, leveraging AI, thermal imaging, and computational imaging to improve operational effectiveness. The announcement was made recently, highlighting the company's commitment to advancing ISR capabilities for military applications.

Gartner: AI Expected to Become More Embedded in Supply Chains

A recent report has highlighted several emerging technologies poised to transform supply chains in the upcoming year. Among these innovations are autonomous AI software, advanced robotics, and interconnected data systems. These technologies are anticipated to enhance efficiency and streamline operations within the logistics sector. As businesses increasingly seek to optimize their supply chain management, the integration of these tools is expected to play a crucial role in meeting evolving market demands. The findings underscore the importance of technological adaptation in maintaining competitiveness in a rapidly changing economic landscape.

Emily Bender Sets the Record Straight on “Stochastic Parrots”

In March 2021, a notable paper titled “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” was published by a team of four linguists and computer scientists, including Timnit Gebru and Margaret Mitchell, shortly after their controversial dismissal from Google. The paper critiques large language models, suggesting they generate text through statistical predictions rather than genuine understanding, coining the term "stochastic parrot" to illustrate this concept. As the analogy gained traction beyond academia, it sparked debates and inspired projects, including a shoulder-mounted robot named the Stochastic Parrot. On the five-year anniversary of the paper, lead author Emily M. Bender, a professor at the University of Washington, addressed common misconceptions surrounding the term in a recent blog post and an interview with IEEE Spectrum. Bender emphasized that the phrase specifically refers to large language models and not to all forms of artificial intelligence, which she believes oversimplifies the technology and complicates discussions about its implications. She highlighted the importance of clear terminology in understanding and regulating technology, noting that many discussions conflate different AI applications, such as chatbots and protein folding algorithms. Bender also acknowledged that the paper overlooked significant issues, such as exploitative labor practices in data collection, which she now believes should have been included. The ongoing discourse around language models continues to evolve, reflecting the complexities of artificial intelligence and its societal impact.

Chinese AI company offers a new solution for physical AI in the uncertain trillion-dollar market.

In 2026, the field of physical AI is set to emerge as a transformative force, following a consensus reached by industry leaders at the CES in Las Vegas, where NVIDIA's CEO Jensen Huang heralded the arrival of "physical AI's ChatGPT moment." Over the past two years, significant advancements have been made in five key areas: brain models, imagination engines, training environments, ontology, and commercial ecosystems, laying the groundwork for real-world applications. In the first half of 2026, global investment in physical AI surged, with over $6.4 billion raised in just the first quarter, including notable funding rounds from AMI Labs and World Labs. The industry is witnessing a clear technological divergence, with three primary paths emerging: Visual Language Models (VLM), Visual Language Action (VLA), and world models. The anticipated future architecture for physical AI is expected to integrate VLA's decision-making capabilities with world models' predictive simulations. Despite the rapid growth, the competitive landscape remains uncertain, with various companies pursuing different strategies, including those focusing solely on VLA or world models, and others exploring hybrid approaches. The ultimate goal is to develop AI that can effectively navigate and understand the complexities of the physical world, moving beyond mere reactive capabilities to proactive, autonomous decision-making. As the physical AI market is projected to expand significantly, reaching an estimated $3.26 trillion by 2040, the industry faces the challenge of ensuring that technology translates into tangible business value. Companies like Om AI are pioneering innovative models that prioritize continuous perception and spatial understanding, aiming to redefine how AI interacts with its environment. The ongoing evolution of physical AI emphasizes the importance of real-world applications and the need for AI systems that can adapt and respond to dynamic physical spaces.

NEW INDRO CORTEX, CONTROLLER SIMPLIFY ROBOTIC INTEGRATION AND OPERATION

InDro Cortex has emerged as a versatile compute and sensor integrator designed for use on various robotic platforms. This innovative device, measuring 11cm x 14cm x 10cm and weighing just 679 grams, enables seamless data transmission over 5G networks with minimal latency. It also allows remote operators to send instructions to the robotic systems it supports. The platform-agnostic nature of Cortex means it can be integrated with nearly any robotic framework, enhancing operational flexibility and efficiency in diverse applications. This advancement in robotics technology is set to revolutionize how remote operations are conducted, offering real-time communication and control capabilities.

Former Baidu autonomous driving lab head raises millions in angel funding for global robot model startup.

Nuwa Robotics, a company specializing in embodied intelligence, has successfully secured 50 million yuan in angel funding, led by Blue Lake Capital with participation from various investors including Qiongcheng Puyi Investment. This funding follows a seed round completed two months prior, led by Plug and Play China. Founded in February 2026 by Dr. Yang Ruigang, a former director at Baidu’s autonomous driving and robotics lab, Nuwa aims to advance robotic capabilities in navigating complex human environments. As the field of embodied intelligence gains momentum, industry consensus is forming around the need for a "layered decoupling" approach. Nuwa is focusing on developing a "World Traversal Model" (WTM) that enables robots to autonomously navigate, interact, and complete tasks in human settings, addressing a critical gap in the industry. This model is designed to be compatible with various robotic platforms, including humanoid robots and delivery vehicles. Nuwa's technology integrates high-fidelity physical simulation with advanced data generation techniques to create a robust training environment for its WTM. The company has made significant strides in motion control and navigation capabilities, allowing robots to navigate complex terrains without relying on high-precision maps. Additionally, Nuwa is prioritizing social behavior compliance, essential for robots operating in public spaces. With plans to deploy the WTM in real-world applications by 2026, Nuwa aims to validate its core capabilities and expand its operational scale. Blue Lake Capital expressed confidence in Nuwa’s vision, highlighting the potential for the company to overcome key industry challenges and pioneer advancements in intelligent navigation.

Nvidia (NVDA) Remains a Key Humanoid Robotics Play, Bernstein Says

On June 29, 2026, Bernstein reaffirmed its "Outperform" rating for Nvidia Corporation (NASDAQ: NVDA), emphasizing the company's pivotal role in the humanoid robotics sector. The investment firm noted that Nvidia, alongside Qualcomm, is leading the development of advanced processors that serve as the central processing units for robotics. These processors enable robots to efficiently process sensor data, reason, plan, and execute actions. While Bernstein recognizes Nvidia's potential as an investment, it suggests that other AI stocks may present greater upside with less risk. The analysis comes amid a broader discussion on the evolving landscape of AI-driven solutions, with Nvidia's offerings spanning data centers, self-driving vehicles, and cloud services.

SVT Robotics surpasses four billion transactions on its Softbot automation platform

SVT Robotics, a prominent provider of interoperability software for enterprise and physical AI, has reported a significant milestone with its Softbot Platform surpassing four billion transactions. This achievement highlights the platform's robust infrastructure, which is designed to support high-volume data processing on a global scale. Currently, transaction volumes are rapidly increasing, reaching between 100 million and 130 million transactions per week. This surge reflects the growing demand for efficient and resilient data solutions in various industries, positioning SVT Robotics as a key player in the technology landscape.

Apollo 2 robots are actively gathering real-world data from various Robot Park locations and customer sites as part of a collaboration with Google DeepMind. This initiative aims to enhance the development of artificial intelligence models for future humanoid systems. The data collection process is ongoing and is expected to contribute significantly to advancements in AI technology, reflecting the growing partnership between robotics and artificial intelligence sectors.

Sabanto Inc. and Verdant Robotics Announce Technical Integration of Autonomous Tractor Operation with SharpShooter Plant-Level Precision Application

A new integrated solution has been developed that combines two systems, allowing for fully autonomous field work in agriculture. This innovation enables tasks ranging from navigation to plant-level application to be performed without the need for an operator in the cab. The advancement represents a significant leap in agricultural technology, streamlining operations and enhancing efficiency in the field. The system is designed to operate seamlessly, reflecting the latest advancements in automation and data integration. This development is expected to transform farming practices, reducing labor costs and increasing productivity.

The AI jobs debate just got messier

A recent report has revealed that companies classified as "high-intensity AI adopters" experienced a significant increase in their workforce, with an overall headcount rise of 10.2%. Notably, these firms saw a 12% increase in entry-level positions, challenging the prevailing narrative that artificial intelligence threatens junior job opportunities. The findings suggest that rather than eliminating jobs, the integration of AI technology may be contributing to job growth, particularly for those at the beginning of their careers. This report, based on data available until October 2023, highlights the evolving relationship between AI adoption and employment trends in the workforce.

Automated Scope 3 Freight Emissions Estimator

TEG, a carrier sourcing platform specializing in enterprise logistics, has launched an automated tool for estimating CO₂ emissions. This innovative feature provides hauliers, third-party logistics providers (3PLs), and shippers with per-load carbon data from the moment a load is booked. Utilizing the UK Government’s DESNZ Greenhouse Gas Conversion Factors 2025, the tool calculates CO₂e emissions for each vehicle journey, aligning with the required methodology for environmental reporting. This initiative aims to enhance transparency and accountability in freight emissions, supporting the logistics industry’s efforts to reduce its carbon footprint.

How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost

As organizations transition from experimental AI pilots to fully operational AI factories, there is a significant shift in infrastructure decision-making. This change, observed in late 2023, emphasizes the importance of cost efficiency, focusing on the cost per token rather than just peak chip specifications. Companies are now prioritizing how many useful tokens can be generated per dollar spent, per watt of energy consumed, and within specific latency requirements. This strategic pivot aims to enhance the overall performance and affordability of AI systems, ensuring they can meet the growing demands of the market while maintaining efficiency.

Into the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-Tuning

In a recent installment of the "Into the Omniverse" series, developers, 3D practitioners, and enterprises are exploring innovative ways to enhance their workflows through the latest advancements in OpenUSD and NVIDIA Omniverse. This initiative highlights the growing significance of Vision AI agents, which are increasingly being integrated into various industries to streamline processes and improve efficiency. The series aims to educate participants on how these technologies can be leveraged to transform traditional practices, ultimately fostering a more collaborative and productive environment. As organizations seek to adapt to the rapidly evolving digital landscape, the insights shared in this series are crucial for staying competitive and maximizing the potential of emerging technologies.

NVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude Science

NVIDIA is at the forefront of a transformative shift in the life sciences sector, leveraging over a decade of expertise in developing a comprehensive GPU-accelerated computing stack. This stack includes hardware, frameworks, libraries, models, microservices, and specialized tools designed to enhance computational capabilities in biological research and healthcare. The company's advancements are aimed at addressing the growing demand for sophisticated data analysis and processing in life sciences, which has increasingly relied on computational power to drive innovation and discovery. As of October 2023, NVIDIA's initiatives are set to revolutionize how researchers and healthcare professionals utilize technology, ultimately improving outcomes in various applications from drug discovery to personalized medicine.

Millions of exploding stars could soon reveal dark energy's secrets

A groundbreaking AI-powered framework has the potential to revolutionize the measurement of the Universe's expansion, according to recent research. By meticulously analyzing images of Type Ia supernovae and modeling their surrounding environments with unprecedented detail, scientists can achieve cosmic distance estimates with near-spectroscopic accuracy. This innovative technique is particularly timely, as it is designed to handle the vast amounts of data anticipated from the forthcoming Vera C. Rubin Observatory. The advancement aims to enhance our understanding of dark energy, a critical component in the study of cosmology.

Robot hand company settles Tesla trade secret suit and announces $11M raise

Proception, a startup focused on advancing robotics, is innovating in the field of training data collection to address the complex challenges associated with robotic hand functionality. Established with the aim of enhancing robotic dexterity, the company is developing methods to gather and analyze data that will improve the performance of robotic hands. This initiative comes in response to the growing demand for more sophisticated and capable robotic systems in various industries. By leveraging cutting-edge technology and research, Proception aims to overcome the limitations currently faced in robotic manipulation, ultimately contributing to the evolution of robotics as a whole. The startup's efforts are expected to play a significant role in shaping the future of automation and robotics, particularly in applications requiring intricate hand movements.

Mars orbiter watches Perseverance rover cross the marathon finish line | Space photo of the day for June 29, 2026

NASA's Perseverance rover has achieved a remarkable milestone by completing a marathon distance on Mars, showcasing its impressive speed and exploration capabilities. This achievement raises the possibility that Perseverance could become the first rover to complete an ultramarathon on the Red Planet. The rover's ongoing mission, which began in February 2021, aims to search for signs of ancient life and collect samples for potential return to Earth. As it continues to traverse the Martian landscape, scientists are closely monitoring its performance and the data it gathers, which could provide invaluable insights into the planet's history and geology.

3 Questions: Beyond data-driven aesthetics

Alexandros Haridis, a recent graduate with a master's degree in 2017 and a PhD in 2022, is showcasing his work in a new exhibition at the Keller Gallery. The exhibition delves into the evolution of aesthetic judgment over the centuries and examines the role of design in rendering complex computational systems more accessible and understandable. By highlighting the intersection of art and technology, Haridis aims to foster a deeper appreciation for how design influences our perception of intricate data. The exhibition is set to attract visitors interested in both the historical context of aesthetic principles and contemporary design practices.

The Lab Mistake That Might Revolutionize Computing

Researchers have made a significant breakthrough in artificial intelligence technology by discovering a new way to create electronic components that mimic the behavior of biological neurons and synapses. This development, which occurred in a laboratory in 2024, could drastically reduce the energy consumption associated with AI applications. Currently, AI systems rely on powerful GPUs housed in data centers, consuming up to 1,000 watts each, which is comparable to household appliances. In contrast, the human brain operates at a fraction of that energy efficiency. The team, led by researchers Mario Lanza and Sebastian Pazos, stumbled upon this innovation while experimenting with metal-oxide-semiconductor field-effect transistors (MOSFETs). They found that by manipulating the bulk terminal of a MOSFET, they could replicate neuron-like behavior, producing sharp current spikes similar to those of biological neurons. This discovery not only allows for the creation of artificial neurons but also enables the development of artificial synapses, leading to a new type of neurosynaptic random-access memory (NSRAM). The implications of this technology are vast, as it could lead to brain-inspired microchips that are more energy-efficient than current GPUs, particularly for smaller-scale AI tasks. The researchers are now focused on refining their models and conducting further simulations to optimize performance. If successful, this innovation could pave the way for a new generation of AI systems that are both powerful and environmentally sustainable.

HKU Professor Li Hongyang secures hundreds of millions in seed funding for his startup on embodied AI.

Archon Robotics, a Shanghai-based company specializing in whole-body humanoid models, has successfully secured hundreds of millions in seed funding from prominent investors, including ZhenFund, Gao Rong Capital, IDG Capital, and others. The financing round, which took place recently, aims to enhance the development of humanoid models, collect multimodal motion data, expand the talent team, and establish research centers and industry partnerships, with the goal of launching an open-source humanoid model by the end of this year. Founded in April 2026, Archon Robotics focuses on creating whole-body intelligence for humanoid robots, enabling them to perform complex tasks that require full-body coordination. The company's founder, Dr. Hongyang Li, is an assistant professor at the University of Hong Kong and has received accolades for his work in autonomous driving. Co-founder and CEO Dr. Tianyu Li, along with the core team, brings expertise from top institutions and has a strong background in robotics and AI. The humanoid robotics sector is at a pivotal moment, with significant investments occurring but lacking a unified technical consensus. Current limitations in training data restrict robots to simple tasks, as they often lack the necessary information for complex human-like interactions. Archon Robotics aims to address these gaps by redefining data collection methods to better capture human coordination and movement dynamics. The company plans to release its first humanoid model in late 2026, emphasizing the need for robots to operate effectively in dynamic home environments. By focusing on comprehensive data collection and understanding physical interactions, Archon Robotics seeks to advance the capabilities of humanoid robots beyond current limitations.

Karst Exploration With Robots: Fontaine de Nîmes Data Set

The Journal of Field Robotics has published a new study that explores advancements in autonomous robotic systems. This research, released in early October 2023, highlights innovative techniques that enhance the navigation and operational capabilities of robots in various environments. Conducted by a team of researchers from leading universities, the study aims to address the growing demand for efficient robotic solutions in industries such as agriculture, manufacturing, and disaster response. The motivation behind this research stems from the increasing complexity of tasks that robots are expected to perform, necessitating improved algorithms and sensor technologies. By employing advanced machine learning methods and real-time data processing, the researchers demonstrated significant improvements in the robots' ability to adapt to dynamic surroundings and make autonomous decisions. The findings from this study are expected to have a substantial impact on the future development of robotic systems, paving the way for more reliable and versatile applications. As industries continue to seek automation solutions, this research provides valuable insights into the potential of robotics to enhance productivity and safety across various sectors.

Baidu's CFO on How It Became a Full-Stack AI Player | Odd Lots

Baidu, once recognized as China's leader in search, has transformed into a comprehensive player in the artificial intelligence sector. The company now develops its own chips, utilizes proprietary AI models such as Ernie, and operates its own cloud system, while also integrating AI technology into its self-driving car initiative, Apollo Go. In a recent discussion, Baidu's CFO, Henry He, elaborated on the company's ambitious AI strategies, addressing topics such as optimizing token expenditure, the safety and alignment considerations among Chinese tech firms, and the competitive landscape of global robotaxi services. He also reflected on the evolving role of Baidu's core search business within this broader technological framework. This evolution highlights Baidu's commitment to advancing its AI capabilities and adapting to the rapidly changing tech environment since its inception in the late 1990s.

Is "Dehydration Cooling" the Future for Data Centers in the AI Era? Insights from Microsoft's Waterless Cooling Strategy.

Microsoft has announced new water conservation measures for its data centers in response to the growing demand for AI and cloud services. The tech giant aims to achieve water positivity by 2030, targeting a 90% improvement in water usage efficiency compared to initial levels. To support this goal, Microsoft plans to implement waterless cooling systems in its latest facilities and utilize rainwater, thereby promoting sustainable infrastructure operations.

South Korea Unveils Plan to Sustain Lead in AI

South Korea has announced a comprehensive strategy to enhance its position as a global technology leader, with major investments in memory chips, data centers, and robotics spearheaded by industry giants Samsung Electronics Co. and SK Hynix Inc. During a briefing attended by President Lee Jae Myung, executives from both companies outlined their commitment to significant future investments that aim to bolster the nation’s technological infrastructure. The announcement, made in Seoul, underscores the government's push to foster innovation and economic growth in the tech sector, reflecting a broader ambition to secure South Korea's competitive edge in the global market. Further details on the investment plans are anticipated as the companies prepare to elaborate on their strategies.

Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time

Palantir Technologies has unveiled a new intelligent engine designed to enhance secure artificial intelligence capabilities for U.S. government agencies. This announcement was made today, highlighting the significance of open-source innovation in the American AI landscape. The new engine leverages NVIDIA's Nemotron open models, aiming to meet the specific needs of federal entities. By integrating these advanced technologies, Palantir seeks to bolster the security and effectiveness of AI applications within closed environments, ensuring that sensitive data remains protected while still benefiting from the flexibility and adaptability of open-source frameworks. This initiative underscores Palantir's commitment to providing robust AI solutions tailored for government use, addressing the growing demand for secure and efficient technological tools in public service.

Claude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in Azure

Anthropic has announced the general availability of its Claude models, which are now hosted on Microsoft Azure and powered by NVIDIA's GB300 Blackwell Ultra GPUs. This development provides enterprises utilizing Azure with an advanced tool to create autonomous and specialized AI solutions. The integration of these models aims to enhance the capabilities of businesses in various domains, enabling them to leverage cutting-edge technology for improved operational efficiency and innovation. The launch reflects a growing trend in the AI sector, where companies are increasingly seeking robust platforms to support their AI initiatives.

Samsung, SK Ready Decade of Spending to Sustain Korea’s AI Lead

South Korea is preparing to announce a significant initiative to enhance its position as a leader in technology. Major companies, including Samsung Electronics Co. and SK Hynix Inc., are expected to reveal plans for substantial investments over the next ten years. These investments will focus on key sectors such as memory chips, data centers, and robotics. The unveiling of this ambitious strategy is anticipated to take place soon, reflecting the country's commitment to advancing its technological capabilities and fostering innovation in these critical industries. This move is seen as a response to the growing global competition in technology and aims to solidify South Korea's role as a central player in the tech landscape.

Middle East Tensions, Tesla Deliveries and Other Can't Miss Items this Week

Tensions in the Middle East escalated over the weekend as Iran launched strikes against U.S. military bases in Bahrain and Kuwait, raising concerns about the stability of the fragile U.S.-Iran peace framework established through a recent memorandum of understanding. This renewed conflict threatens access to the Strait of Hormuz, crucial for global energy supplies, just as markets were beginning to stabilize following last week’s diplomatic progress. The ongoing hostilities create uncertainty in energy markets, with potential implications for oil prices and inflation. In the financial sector, Tesla is set to announce its Q2 global delivery numbers before the market opens on Thursday, with analysts forecasting a 4% year-over-year increase to 401,000 electric vehicles. This report will be critical in assessing consumer demand for EVs amid economic uncertainties and heightened competition. The timing of Tesla's announcement coincides with the release of the June jobs report, which includes average hourly earnings and initial jobless claims, providing key economic data before the July 4th holiday. As geopolitical tensions and economic indicators converge, markets face a volatile week, with investors closely monitoring developments in Iran and Tesla's performance, both of which could significantly impact market dynamics and investor sentiment heading into the second half of 2026.

How Robotaxis Are Making Headway, Glitches and All

A new technology that has long been anticipated is finally making its debut, albeit in a limited capacity. This development comes after years of speculation and promises about its potential impact. As of October 2023, the technology has been trained on data, suggesting that it is now equipped to perform its intended functions. While the specifics of its applications remain to be fully realized, experts are cautiously optimistic about its capabilities. The gradual rollout aims to address previous concerns and expectations surrounding the technology, which has been described as a game-changer in its field. As it begins to integrate into various sectors, stakeholders are eager to see how it will evolve and what benefits it may bring.

Inside HD Hyundai Electric’s AI power push

HD Hyundai Electric unveiled its new power distribution complex in Cheongju, North Chungcheong Province, during a media tour on Thursday. The facility represents a significant shift in the electricity sector, showcasing a sophisticated network of robotic arms and autonomous carriers that streamline operations. Observers noted the advanced control room, where workers monitored real-time energy data, highlighting the plant's focus on automation and efficiency. This development reflects the company's commitment to modernizing power distribution and adapting to the evolving energy landscape.

Object‐Enhanced Loop Closing With Semantic Topological Graphs

The Journal of Field Robotics has published new research highlighting advancements in autonomous robotic systems. This study, released in early October 2023, focuses on the integration of artificial intelligence in field robotics, aiming to enhance efficiency and adaptability in various environments. Conducted by a team of researchers from leading universities, the findings demonstrate how these innovations can significantly improve the performance of robots in agricultural, industrial, and exploration applications. The motivation behind this research stems from the growing need for automation in sectors facing labor shortages and the demand for increased productivity. The researchers employed a combination of machine learning algorithms and real-time data processing techniques to develop a prototype that showcases the potential of these autonomous systems. This work not only contributes to the field of robotics but also addresses pressing challenges in modern industries, paving the way for future developments in smart technology.

How GE Vernova builds the massive gas turbines powering the AI data center boom

Elon Musk's xAI Colossus 1 data center is now being powered by GE Vernova turbines, marking a significant advancement in sustainable energy for tech infrastructure. In a related move, Microsoft has also acquired seven of these turbines to supply energy to its data center located in Texas. This initiative comes as both companies seek to enhance their operational efficiency and reduce their carbon footprint, aligning with broader industry trends towards renewable energy solutions. The deployment of GE Vernova's technology is expected to support the growing demand for data processing while promoting environmental sustainability.

What lessons is Ideal learning to catch up with FSD V14?

The competitive landscape of the intelligent driving industry has undergone significant changes in recent years, shifting from hardware specifications to advanced model development. Companies are increasingly recognizing that merely having larger models is insufficient for achieving generational advantages; instead, the integration of models, data, computing power, and chips into a continuous iterative loop is becoming crucial. This realization has prompted many automakers to invest in in-house research and development. Tesla has established a comprehensive ecosystem that spans data collection, training infrastructure, and self-developed chips, while Chinese companies like Li Auto, Xpeng, and NIO are also deepening their technological foundations. Li Auto has introduced its self-developed Mach M100 chip in its L8 and L9 models, which it views as a significant advancement in AI technology. In a recent discussion with Li Auto's autonomous driving and chip leaders, they emphasized that the industry should focus on the practical problems these investments aim to solve rather than merely the existence of in-house development. They outlined their strategies to achieve performance comparable to Tesla's Full Self-Driving (FSD) system, highlighting the importance of safety, efficiency, and comfort in user experience. As the industry moves towards higher levels of autonomy, the integration of vision and language models is seen as essential for developing systems that can handle complex, unforeseen scenarios. The executives noted that achieving higher levels of autonomy (L3 and L4) requires models that can reason and think like humans, underscoring the growing significance of language in AI systems. Overall, the conversation revealed the industry's focus on enhancing AI capabilities through innovative chip design and data utilization, aiming for a future where autonomous driving technology can meet the challenges of real-world driving conditions.

Smart Hand valued at $1 billion after 5 months, achieves profit in first quarter; DeepSeek plans to double all departments.

On June 26, 2026, Wuliangye announced the removal of Zeng Zongqin from his position as chairman due to his inability to fulfill his duties. The decision was made during the company's annual shareholder meeting, where a proposal to appoint Deng Min as the new chairman was approved. Zeng's departure, effective immediately, will not affect the company's operations, as he held no shares and had no outstanding commitments. In Yantai, JD Pharmacy has established a new company, JD Pharmacy (Yantai) Co., Ltd., with a registered capital of 100,000 RMB. The company, fully owned by JD Pharmacy (Qingdao) Chain Co., Ltd., will engage in retailing pharmaceuticals and providing medical device services. SpaceX, led by Elon Musk, plans to launch a new Starlink mobile service in the U.S. and develop its own ground mobile network, aiming to compete with major carriers like Verizon, AT&T, and T-Mobile. He Xiaopeng announced on June 25 that XPeng Motors is set to expand globally, with the second-generation VLA model expected to enter international markets by 2027, coinciding with new EU regulations on autonomous driving. Meanwhile, Lingqiao Shou, a company spun off from Zhiyuan Robotics, has achieved a valuation of $1 billion within just five months of its establishment, following significant funding rounds. Beijing Tongrentang Medical and Health Investment Co. plans to raise up to HKD 671.6 million through an IPO in Hong Kong, with shares priced between HKD 5.48 and HKD 6.21, expected to begin trading on July 7. Lastly, DeepSeek announced plans to double its workforce across all departments, while Apple reported a surge in memory demand due to the rapid expansion of AI data centers, presenting challenges for the electronics industry.

General Intuition raises $320M to use video game data to train robots

General Intuition has secured $320 million in funding to enhance its innovative approach to artificial intelligence training for robotics. The company is leveraging video game clips that feature embedded action labels to accelerate the training process for AI systems. This funding will enable General Intuition to further develop its technology, which aims to improve the efficiency and effectiveness of robotic learning. By utilizing the rich data from video games, the company seeks to provide robots with a more nuanced understanding of actions and environments, ultimately advancing the field of robotics. The investment comes at a time when the demand for sophisticated AI solutions in various industries is on the rise, highlighting the potential impact of General Intuition's work in shaping the future of robotics.

ABB Robotics and Psyonic use human-generated data to advance robotic dexterity

ABB Robotics is partnering with California-based bionics firm Psyonic to enhance robotic gripping and dexterity, addressing a significant challenge in the industry. This collaboration aims to leverage real-world manipulation data derived from human prosthetic use, which could lead to a reduction in engineering time by as much as 30%. The initiative involves integrating the Psyonic Ability Hand with ABB's GoFa robotic arm, creating a more efficient and adaptable solution for various applications. This innovative approach seeks to improve the functionality of robotic systems, making them more effective in handling tasks that require precision and flexibility.

ON Semi tanks 20% following Synaptics deal as CEO defends core business

On Semiconductor has announced a significant expansion of its addressable market, projecting an increase of $30 billion through its pivot into physical artificial intelligence (AI). This strategic move aims to enhance the company's offerings and capitalize on the growing demand for AI technologies. The announcement comes as the company seeks to position itself at the forefront of innovation in the semiconductor industry. By integrating physical AI into its product lineup, On Semi is responding to evolving market needs and the increasing reliance on advanced technologies across various sectors. This expansion reflects the company's commitment to driving growth and maintaining competitiveness in a rapidly changing technological landscape.

10 Best Workforce Management Software Platforms in 2026

As businesses navigate the complexities of modern workforce management, the need for effective solutions has become increasingly apparent. Organizations are facing challenges such as dispersed teams, fluctuating workloads, and heightened demands for efficiency. In response to these issues, many companies are turning to workforce management software to streamline operations and enhance oversight. By centralizing workforce planning and performance tracking, these tools aim to provide better visibility and consistency in managing employee productivity. The shift towards digital solutions reflects a broader trend of adapting to the evolving landscape of work, where traditional manual planning methods are proving inadequate. As of October 2023, this transition is seen as essential for businesses seeking to maintain competitive advantages in a rapidly changing environment.

DEEPX and Sixfab Launch 'DEEPX AI HAT' to Drive Edge Physical AI on Raspberry Pi

A new partnership has emerged to enhance the Raspberry Pi ecosystem by providing high-performance, low-power AI acceleration. This initiative aims to eliminate the reliance on cloud services for real-time inference, particularly benefiting applications in robotics and smart automation. The collaboration has introduced a production-ready Starter Kit and software development kits (SDKs) designed to lower entry barriers for developers worldwide. By making these tools accessible, the partnership seeks to empower a broader range of innovators to integrate advanced AI capabilities into their projects, fostering growth and development within the global tech community.

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

Liquid AI, a company founded by former MIT computer scientists, has unveiled its latest AI language model, LFM2.5-230M, which is designed for efficient data extraction and local deployment on devices such as smartphones and laptops. Released today, this 230-million-parameter model is noted for its ability to run on various hardware platforms, outperforming larger models like Alibaba's Qwen3.5 and Google's Gemma 3 in specific benchmarks. Targeting developers and engineers, LFM2.5-230M operates under a dual-use commercial license, allowing free access for individuals and companies with annual revenues below $10 million, while larger enterprises must secure a paid agreement. The model distinguishes itself by utilizing the LFM2 architecture, enabling high inference speeds with a minimal memory footprint, making it suitable for edge computing. Liquid AI's launch reflects a broader industry shift towards architectural efficiency rather than sheer parameter counts, as major AI firms focus on models with hundreds of billions of parameters. The LFM2.5-230M is specifically tailored for lightweight data extraction tasks, allowing businesses to automate processes without relying on costly cloud services. In practical applications, the model has been successfully deployed in a humanoid robot, demonstrating its capability to process complex commands efficiently. Available immediately on platforms like Hugging Face, LFM2.5-230M aims to revolutionize how enterprises manage data extraction, moving away from traditional, rigid systems to more adaptable AI-driven solutions.

Automated Online Investing: How Technology Helps You Build Wealth Passively

Automated online investing is revolutionizing wealth-building strategies for individuals by streamlining the investment process. This innovative approach alleviates the burdens of manual tracking, trade timing, and emotional decision-making, allowing investors to depend on sophisticated systems that manage the majority of the work. As a result, more people are gaining access to investment opportunities, fostering a more inclusive financial landscape. This transformation, driven by advancements in technology and data analytics, is reshaping traditional investment practices and empowering individuals to grow their wealth with greater ease and efficiency.

Why Does a Bank Need a Chief Scientist?

Prem Natarajan, formerly the head of Alexa AI at Amazon, has transitioned to the role of Chief Scientist at Capital One, a leading financial institution serving over 100 million customers. This move comes as the landscape of artificial intelligence (AI) research shifts from large tech companies to industry-specific applications, particularly in finance, where the challenges are more complex and require a nuanced understanding of customer needs and regulatory constraints. Capital One has long been recognized for its data-driven approach, having invested heavily in cloud technology to create a robust data ecosystem. This infrastructure supports innovative AI research aimed at solving real-world problems, such as real-time fraud detection and personalized customer interactions. Unlike many banks that view AI merely as a tool, Capital One is establishing a scientific community focused on developing impactful AI solutions. Natarajan emphasizes the importance of “destination-back thinking,” where the team envisions ideal customer experiences and works backward to identify necessary scientific advancements. This methodology, combined with a commitment to continuous learning and a unique cloud-first architecture, allows Capital One to tackle challenges that are often overlooked by traditional financial institutions. The bank's efforts have garnered recognition, with Capital One being ranked as a leader in AI talent and innovation, accounting for a significant portion of AI patents in the financial sector. Through partnerships with academic institutions and a focus on agentic AI systems, Capital One aims to enhance financial services for millions, positioning itself at the forefront of AI advancements in the industry.

OpenAI's updated GPT-5.5 Instant is better at shopping, complex constraints, and understanding user intent  — and it's already in the API

OpenAI has announced an update to its popular language model, GPT-5.5 Instant, which is now the default for free ChatGPT users. The upgrade, revealed on June 24, enhances the model's ability to understand user intent and adapt responses, particularly in complex scenarios like shopping and local recommendations. This update follows the model's initial release in early May 2026, which aimed to address factual inaccuracies and improve conversational quality. The latest version is being rolled out first to paid subscribers, with free users gaining access shortly thereafter. While OpenAI has not provided specific performance benchmarks, the company claims significant improvements in handling multi-part instructions and contextual awareness. This is expected to make ChatGPT more effective for everyday tasks, such as planning trips or comparing products. For developers, the updated model can be accessed through OpenAI's chat-latest API alias, which points to the latest Instant model. However, OpenAI continues to recommend the separate gpt-5.5 model for production use. The update reflects a shift towards more intuitive AI systems capable of better inferring user goals and maintaining context across interactions, marking a significant step forward in generative AI technology.

General Intuition’s $2.3B bet that video games can train AI agents for the real world

General Intuition has successfully secured $320 million in funding to enhance its artificial intelligence capabilities, leveraging extensive data derived from millions of hours of gameplay and betting action. This significant investment aims to advance the development of AI that mimics human intuition more closely. The funding round, which took place recently, underscores the growing interest in AI technologies that can interpret complex patterns and make decisions similar to human behavior. By utilizing this vast dataset, General Intuition seeks to refine its algorithms and improve the performance of its AI systems, positioning itself at the forefront of innovation in the gaming and betting industries.

From Fortnite to robots: General Intuition raises $2.3B on bet that video games can train AI agents for the real world

General Intuition has successfully secured $320 million in funding to enhance its artificial intelligence capabilities, which are designed to mimic human intuition by leveraging extensive data from millions of hours of gameplay and betting actions. This significant investment aims to propel the development of AI systems that can better understand and predict human behavior in gaming contexts. The funding round, which reflects growing interest in AI applications within the gaming and betting industries, will enable General Intuition to expand its research and development efforts. The company plans to utilize this capital to refine its algorithms and improve the accuracy of its AI models, ultimately striving to create technology that resonates more closely with human decision-making processes.

RoboScience launches Visics, a versatile embodied model for cross-ontology, cross-object, and cross-task applications.

On June 24, RoboScience, a company specializing in embodied intelligence, unveiled its self-developed Visics large model, introducing the innovative VLOA (Vision-Language-Object-Action) architecture. This announcement marks a significant advancement in the field, demonstrating the model's applications in real-world scenarios such as furniture assembly, dexterous grasping, and dynamic assembly lines. The current landscape of embodied intelligence lacks a universally accepted foundational representation unit, which hampers data collection, model learning, and the transfer of knowledge to new contexts. Traditionally, models have focused on replicating specific robotic movements tied to particular tasks, limiting their adaptability to new robots, objects, or environments. Founder and CEO Tian Ye highlighted three major challenges in robotic operations: poor generalization, difficulty in precise manipulation, and cumulative errors in long-range tasks. To address these issues, RoboScience has developed a new foundational representation unit from the ground up. The Visics model employs a dual-engine architecture, consisting of an embodied world model and a universal operation model, each operating independently. The embodied world model utilizes vast amounts of internet video data to learn the physical dynamics of objects, while the operation model translates object trajectories into actionable commands for robots. This layered design enhances the model's generalization capabilities across various robotic platforms and tasks. RoboScience's innovative approach also includes a high-precision simulation engine, RoboMirage, which, combined with automated video data annotation, significantly reduces data acquisition costs. The company aims to build a comprehensive dataset of over 1 terabyte of high-quality manipulation trajectories by 2026. Since its inception, RoboScience has garnered support from multiple investors and established research and production centers in major Chinese cities. The company plans to collaborate with various sectors, including retail and logistics, to standardize robotic products for industrial and commercial applications by the end of this year.

Beyond the Drone: Percepto’s New Platform Brings AI to Infrastructure Inspections

Percepto has unveiled its next-generation inspection software at the InnovateEnergy Week conference, which is currently taking place in The Woodlands, Texas. This new platform aims to enhance the capabilities of energy companies, particularly in the oil, gas, and electric utility sectors, by providing actionable data that is crucial for their operations. The launch reflects the industry's growing need for advanced technology to optimize infrastructure inspections and improve efficiency. By integrating artificial intelligence into their inspection processes, Percepto seeks to revolutionize how companies manage and analyze their energy resources, ultimately supporting their production goals.