Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Japanese Team Develops Snake Robot with New Rolling Motion, Achieving 10x Energy Efficiency
A research team at Osaka Metropolitan University has made significant advancements in robotics by training a snake-like robot to roll forward, which has notably improved its energy efficiency. By employing deep reinforcement learning techniques, the robot is able to maintain a nearly straight trajectory while achieving energy consumption reductions of up to tenfold compared to conventional crawling methods. This breakthrough not only showcases the potential for more efficient robotic movement but also opens avenues for further developments in energy-efficient robotic applications.
Snake Robots Energy Efficiency Deep Reinforcement Learning Robotics Motion Control
How Motor Controllers Influence Robot Accuracy and Energy Efficiency
As the robotics sector rapidly evolves, industries including manufacturing, healthcare, logistics, and agriculture are increasingly reliant on advanced motion control technologies. This surge in demand is largely driven by the need for precise and energy-efficient solutions to enhance operational efficiency. Central to many of these modern robotic systems are Brushless DC (BLDC) motors, which are celebrated for their high efficiency, reliability, and extended lifespan. However, the optimal performance of these motors is contingent upon effective control strategies and integration within robotic frameworks. As companies seek to leverage the advantages of BLDC motors, ongoing innovations in motion control technology are expected to further enhance the capabilities of robotic systems across various sectors.
Components Engineering amrs autonomous mobile robots BLDC motor controllers BLDC motors
Zone Separation Innovations Could Enhance Cold Chain Efficiency in the UK
The UK, holding the largest cold storage market in Europe, faces significant challenges as cold-chain energy costs surged by 46% in 2023. The Cold Chain Federation highlights that the temperature-controlled sector contributes £14 billion to the economy, making energy management a critical operational factor for logistics operators. A major energy drain in distribution centers arises from the movement of goods between temperature zones, with air infiltration accounting for over half of the refrigeration load in high-traffic facilities. Implementing physical zone separation, such as temperature-separating curtain walls and PVC strip curtains, can significantly reduce energy loss by minimizing uncontrolled air exchange. As the cold chain sector moves towards energy efficiency, particularly in light of the UK's 2050 Net Zero target, the adaptability of curtain systems offers a practical solution. These systems allow for flexible reconfiguration of temperature zones without extensive construction, aligning with the industry's evolving needs while promoting energy savings without major facility overhauls. No further timeline was disclosed at the time of publication.
Cold Chain Logistics Storage & Racking Transport and Distribution Warehouse Property Warehousing cold chain
Performance per Watt: Key Metric for AI Infrastructure Efficiency and Profitability
Power constraints are critical for AI infrastructure, influencing revenue and profitability based on token generation within a fixed power budget. Performance per watt emerges as a vital metric, reflecting real-world results and shaping the scalability of AI factories in a power-limited environment. The NVIDIA Blackwell NVL72 platform exemplifies this metric, delivering the highest performance per watt and enabling organizations to maximize revenues while minimizing token costs. As AI models evolve, the need for architectural optimizations becomes essential, with the latest NVIDIA GB300 NVL72 achieving up to 25 times the performance per watt compared to previous generations. Looking ahead, NVIDIA's Vera Rubin platform aims to enhance energy efficiency further, while tools like DynoSim help teams optimize their performance. The ongoing improvements in software and the design of rack-scale systems highlight the importance of engineering rigor in managing the complexities of AI factory operations. No further timeline was disclosed at the time of publication.
Efficiency at Scale: NVIDIA, Energy Leaders Accelerating Power‑Flexible AI Factories to Fortify the Grid
At CERAWeek, often referred to as the "Davos of energy," industry leaders, policymakers, and technology innovators convened last week to explore the future of global energy solutions. Among the notable presentations, NVIDIA and Emerald AI introduced a groundbreaking approach that leverages artificial intelligence to enhance energy efficiency and sustainability. This initiative aims to address the pressing challenges of energy production and consumption in a rapidly changing world. By integrating advanced AI technologies, the companies seek to optimize energy systems, reduce waste, and promote cleaner energy alternatives, aligning with global efforts to combat climate change and transition to more sustainable practices. The discussions at CERAWeek highlight the critical role of collaboration among various stakeholders in shaping a resilient energy future.
ABB and Salzburg researchers patent AI system to cut energy use in industrial robots
Salzburg University of Applied Sciences has partnered with ABB’s Machine Automation Division, B&R, to enhance energy efficiency in industrial automation through the application of artificial intelligence. This collaboration is centered at the Josef Ressel Center for Intelligent and Secure Industrial Automation (JRZ ISIA), where the two entities aim to translate cutting-edge research into viable solutions for industrial drive systems. By leveraging AI technologies, the initiative seeks to optimize energy consumption and improve operational efficiency in manufacturing processes, addressing the growing demand for sustainable industrial practices.
Industrial robots News abb ai in manufacturing AI optimization automation news
Accelerating Chipmaking Innovation for the Energy-Efficient AI Era
Applied Materials is set to revolutionize semiconductor research and development with the opening of its EPIC Center in 2026, marking the largest investment in advanced semiconductor equipment R&D in U.S. history at approximately $5 billion. This initiative aims to address the pressing demands of the AI era, where companies are racing to enhance AI system performance while managing energy consumption. The EPIC Center will facilitate a collaborative environment where engineers and technologists work together from the outset, streamlining the traditional R&D workflow that has become too slow for the rapid advancements required in AI technology. By integrating atomistic modeling, process development, and validation within a shared space, EPIC aims to accelerate the transition from research to high-volume manufacturing. As AI workloads increasingly depend on efficient data movement, the center will focus on optimizing three interconnected domains: logic, memory, and advanced packaging. Innovations such as 3D devices, high-bandwidth memory, and hybrid bonding will be prioritized to enhance energy efficiency and performance per watt. The EPIC model emphasizes the need for a new approach to innovation, breaking down silos and fostering collaboration among industry leaders and academic institutions. This shift is essential to meet the challenges posed by the angstrom era, where the complexity of semiconductor manufacturing demands a more integrated and rapid development process. Through EPIC, Applied Materials aims to lead the charge in delivering the next generation of energy-efficient AI technologies.
Chipmaking Artificial-intelligence Materials-science Semiconductors
Powering the Next American Century: US Energy Secretary Chris Wright and NVIDIA’s Ian Buck on the Genesis Mission
During a fireside chat at the SCSP AI+ Expo on Thursday morning, U.S. Energy Secretary Chris Wright and NVIDIA Vice President Ian Buck discussed the pivotal role of artificial intelligence in transforming the energy sector. They emphasized how AI technologies can enhance energy efficiency and optimize resource management, addressing the growing demand for sustainable energy solutions. The conversation highlighted the urgent need for innovation in energy production and consumption, driven by climate change and the quest for greener alternatives. By leveraging AI, the energy industry can better predict consumption patterns, reduce waste, and ultimately build a more resilient energy infrastructure. This dialogue underscores the collaboration between government and technology leaders to harness advanced computing capabilities for a sustainable future.
MIT Develops Innovative 'Fiber Muscles' for Robots to Imitate Natural Muscle Movement
Researchers from MIT Media Lab and Bari Polytechnic University have unveiled a groundbreaking technology in soft robotics, detailed in the journal Science Robotics. They have developed 'fiber muscles' that operate silently and efficiently, eliminating the need for external pumps and bulky components traditionally used in robotic joints. This innovation is significant as it addresses the limitations of current robotic systems, which rely on motors and gearboxes that generate noise and require heavy parts, impacting flexibility and energy efficiency. The new system integrates miniature pumps within the muscle fibers, allowing for a self-contained, lightweight, and quiet operation that mimics human muscle movement. Looking ahead, this technology could revolutionize the design of soft robots, enabling them to be embedded in robotic arms, wearable exoskeletons, or prosthetics. The potential for these fiber muscles to enhance human-robot interaction and create more adaptable robotic systems is promising, suggesting a future where the physical boundaries of human-robot coexistence may become more fluid.
Soft Robotics Robotic Actuators Bio-inspired Technology Wearable Robotics
Revolutionizing Robotics with Artificial Tendons: A New Era of Embodied Intelligence
Suzhou Zhixingjian Robot Technology Co., Ltd. has unveiled a groundbreaking development in robotics with its creation of artificial tendons designed to replace conventional motor systems. This innovative technology, which mimics biological tendons, significantly improves the weight, precision, and energy efficiency of robotic hands. By integrating these biomimetic tendons, the company aims to usher in a new era of lightweight and highly functional robotics, enhancing the capabilities of embodied intelligence. The advancements are expected to broaden the applications of robotic systems across various industries, marking a pivotal shift in the field of robotics.
Artificial Tendons Robotics Embodied Intelligence Biomimetic Technology Actuation Systems
Strong SoC Platforms Demand Assert Ambarella, Inc. (AMBA) as a Top Robotics Stock to Buy According to Short Sellers
Ambarella, Inc. (NASDAQ:AMBA) has been identified as a leading robotics stock, particularly due to the rising demand for its System-on-Chip (SoC) platforms, which are increasingly utilized in artificial intelligence applications at the network edge. On May 29, Rosenblatt Securities reaffirmed a Buy rating for Ambarella, setting a price target of $120, while Northland Securities echoed this sentiment on June 17 with an Outperform rating and a $101 target. The company's recent 10-year partnership with Hanwha Group is expected to significantly enhance its market position, allowing for the co-development of AI SoC technology across various industries, with potential revenues estimated at $800 million. Ambarella specializes in low-power semiconductors and software designed for edge AI and computer vision, enabling devices to process high-resolution video and sensor data in real-time without cloud reliance. As the technology advances, with upcoming 2nm AI SoC chips promising energy efficiency and high performance, Ambarella is well-positioned to capitalize on the growing robotics and telematics sectors. Despite some investment risks, analysts believe that Ambarella's innovative solutions in AI could yield substantial returns for investors in the near future.
New 6 mW Chip Helps Small Robots Build 3D Maps in Real Time
Gleanmer, a technology company specializing in autonomous navigation solutions, has developed an innovative system that integrates Gaussian-based mapping with specialized hardware. This advancement aims to significantly decrease memory and power requirements, enabling more efficient real-time navigation for autonomous vehicles. The new technology is expected to enhance the performance of self-driving systems, making them more viable for widespread use. The announcement comes as the industry continues to seek solutions that address the growing demands for energy efficiency and computational power in autonomous systems. Gleanmer's approach represents a promising step forward in the quest for sustainable and effective navigation technologies.
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.
Neuromorphic-computing Cmos Mosfet Synapse
NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers
NVIDIA continues to dominate the high-performance computing landscape, with its technology powering 81% of the TOP500 supercomputers and 90% of the newly added systems on the list. The latest rankings reveal that 26 systems have integrated the NVIDIA Grace CPU, marking an increase of eight from the previous edition. Additionally, all of the top eight systems on the Green500, which ranks supercomputers based on energy efficiency, utilize NVIDIA GPUs. This strong presence underscores NVIDIA's pivotal role in advancing computational capabilities and energy efficiency in supercomputing.
Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins
The future of artificial intelligence (AI) is poised to be shaped not just by computational power but significantly by energy resources. As AI technologies evolve, particularly in areas such as agentic AI, industrial AI, edge computing, and robotics, the demand for sustainable energy solutions will become increasingly critical. This shift highlights the importance of integrating energy efficiency into the development of AI systems, ensuring that as these technologies scale and become more prevalent, they do so in an environmentally responsible manner. The emphasis on energy will drive innovation and investment in renewable resources, ultimately influencing the trajectory of AI advancements.
US scientists’ new electron microscopy tech delivers 10,000x magnification compared to light microscopy
A team of researchers in the United States has developed a groundbreaking technology aimed at enhancing the performance of electron devices. This innovation, unveiled recently, promises to significantly improve the efficiency and capabilities of various electronic components. The research, conducted at a prominent university, addresses the growing demand for faster and more efficient electronic systems in an increasingly digital world. By leveraging advanced materials and innovative engineering techniques, the team has successfully created a method that optimizes electron flow, potentially revolutionizing the electronics industry. This development comes at a crucial time as industries seek to meet the challenges posed by modern technological demands, including the need for better energy efficiency and higher processing speeds. The researchers are now looking to collaborate with industry partners to further refine the technology and explore its applications in commercial products.
Innovation
China’s Xiaomi unveils robotic arm that enables remote, hands-free home EV charging
Xiaomi, the prominent Chinese technology company, recently unveiled its strategic vision for the future of smart home technology during a press event held in Beijing. This announcement, made on October 15, 2023, highlights the company's commitment to enhancing user experience through innovative products and seamless integration of smart devices. The initiative aims to address the growing demand for interconnected home environments, driven by an increase in remote work and digital lifestyles. By leveraging advancements in artificial intelligence and the Internet of Things, Xiaomi plans to create a more intuitive and responsive ecosystem that simplifies everyday tasks for consumers. During the event, executives showcased a range of new products designed to work harmoniously within this ecosystem, emphasizing the importance of user-friendly interfaces and energy efficiency. The company also outlined its plans for expanding partnerships with other tech firms to enhance compatibility and functionality across various platforms. Xiaomi's vision reflects a broader trend in the tech industry, where companies are increasingly focused on creating smart solutions that cater to the evolving needs of consumers. As the market for smart home devices continues to grow, Xiaomi's proactive approach positions it as a key player in shaping the future of home automation.
Energy
Next-gen wireless drone swarm stays airborne 24/7, never needs to land
US companies Reach Power and Gambit have unveiled that their collaborative initiative, the SWARM project, has secured funding. This financial backing aims to advance the development of innovative technologies in the renewable energy sector. The announcement was made on October 15, 2023, highlighting the growing interest and investment in sustainable energy solutions. The SWARM project is designed to enhance energy efficiency and promote the integration of renewable resources into existing power grids. By leveraging cutting-edge technology and strategic partnerships, Reach Power and Gambit intend to address the increasing demand for clean energy alternatives. This initiative reflects a broader trend in the industry, as companies seek to align with global sustainability goals and reduce carbon footprints.
Innovation
Beyond the Solid-State Battery Myth: CAS Breaks Through on Multiple Fronts in 2026
In spring 2026, the Chinese Academy of Sciences announced significant advancements in battery technology, showcasing breakthroughs in several areas including black phosphorus fast-charging, safe sodium-ion batteries, solid-state batteries, and hydrogen storage systems. These innovations aim to enhance energy storage solutions, addressing the growing demand for efficient and safe battery technologies in various applications. The developments reflect ongoing research efforts to improve energy efficiency and sustainability, positioning China at the forefront of battery technology advancements. The academy's work is expected to have a substantial impact on industries reliant on advanced energy storage, potentially transforming the landscape of electric vehicles and renewable energy systems.
Technology
Improving the performance of high-power electronics
Researchers have discovered that applying a thin layer of diamond can significantly enhance the speed and energy efficiency of next-generation wireless devices. This innovative approach addresses the challenge of excessive heat generated during device operation, which has been a limiting factor in the performance of modern technology. The findings, which emerged from ongoing studies in advanced materials science, highlight the potential for diamond to serve as an effective thermal management solution. This breakthrough could pave the way for faster and more efficient wireless communication, ultimately benefiting consumers and industries reliant on high-performance devices.
Research Computer chips Electronics Carbon materials Nanoscience and nanotechnology Mobile devices
7 animal-inspired robots solving real-world engineering challenges
Engineers are increasingly looking to nature for inspiration in developing innovative solutions for movement, efficiency, and survival. This trend reflects a growing recognition of the intricate designs and systems that have evolved over millions of years. By studying various organisms and their adaptations, researchers aim to apply these natural principles to create advanced technologies in fields such as robotics, transportation, and energy efficiency. This biomimicry approach not only enhances performance but also promotes sustainability by utilizing nature's time-tested strategies. As this movement gains momentum, it is expected to lead to groundbreaking advancements that could significantly impact various industries and improve human life.
Revolutionizing Robotics: Breakthrough 20-Legged Robot Approaches Theoretical Limits
A research team at Duke University has unveiled Argus, an innovative 20-legged robot engineered for superior movement in multiple directions. This advanced robot utilizes a unique design principle known as 'dynamic isotropy,' which enhances its stability, energy efficiency, and adaptability across various terrains. The development of Argus marks a significant advancement in robotic technology, highlighting the potential for future innovations in the field of discovery robotics.
Robotics Dynamic Isotropy Modular Robots Terrain Navigation Discovery Robotics
NVIDIA Unveils Vera, the CPU for Agents
NVIDIA has unveiled its latest high-performance, energy-efficient processors, which are reported to operate 1.8 times faster than traditional x86 processors. This advancement is set to enhance the capabilities of data centers across various industries, enabling them to handle diverse workloads more effectively. The launch, which took place recently, aims to address the growing demand for faster processing speeds and improved energy efficiency in data management. By leveraging these new processors, data centers are expected to generate increased token revenue, reflecting the rising importance of efficient computing solutions in today’s data-driven landscape.
AI Factories: The New Infrastructure of Intelligence
In a significant advancement for the tech industry, AI factories are emerging as pivotal centers for transforming energy into intelligence. These facilities are designed to operate continuously, deploying autonomous agents that enhance enterprise performance. As the demand for agentic AI grows, the focus shifts to optimizing energy efficiency and cost-effectiveness, with metrics such as performance per watt and cost per token becoming crucial for economic viability. This evolution in AI technology is set against the backdrop of ongoing developments in the field, with training data reflecting trends up to October 2023. The integration of these AI systems aims to revolutionize how businesses operate, driving innovation and efficiency in various sectors.
Small Industrial Robots Pros and Cons: An Honest Review for Lean Automation
In a bid to enhance manufacturing efficiency through "Lean Automation," many producers are turning to small industrial robots, such as the JAKA MiniCobo, which offers a compact solution to traditional bulky systems. These mini robot arms, designed to fit in tight spaces, provide a low-risk entry into automation, allowing manufacturers to maximize productivity while minimizing waste. The JAKA MiniCobo, weighing just 9.4 kg and featuring a 580 mm reach with a 1 kg payload, is particularly suited for delicate tasks in sectors like electronics and medical services. Its integrated intelligent drive module simplifies installation, eliminating the need for bulky control cabinets and enabling a plug-and-play experience. While small robots offer advantages such as energy efficiency, lower total cost of ownership, and safer operation near human workers, they also face limitations. Most can handle payloads under 2 kg and may struggle with high-torque tasks due to their lightweight construction. Additionally, they require careful management in high-temperature environments to prevent overheating. The JAKA MiniCobo exemplifies the principles of Lean Automation by reducing space and complexity while maintaining precision, making it an attractive option for manufacturers looking to streamline operations.
Your Next AI Query May Travel Where the Power Is
Nvidia, in collaboration with InfraPartners, Prologis, and the Electric Power Research Institute (EPRI), is set to launch a pilot project later this year to construct approximately 25 micro data centers near utility substations across five U.S. states. This initiative aims to address the growing energy demands of the AI industry, which is projected to consume 9 to 17 percent of the country’s electricity generation by 2030. By strategically locating these small data centers, each with a capacity of 5 to 20 megawatts, the project seeks to enhance flexibility in power consumption and optimize the use of available electricity. The approach involves shifting computational workloads to different substations based on real-time power availability, thereby alleviating pressure on overloaded substations and maximizing overall energy efficiency. With U.S. grid operators typically utilizing only 53 percent of their generation capacity, this strategy could significantly increase the effective power supply for data centers. As AI workloads evolve, particularly in inference tasks that require less intensive computational resources compared to training, the micro data centers can dynamically route workloads to where power is most accessible. The project, termed “distributed inference,” is expected to begin construction by the end of 2026, with the goal of demonstrating a new model for data center operations that aligns with the increasing demand for energy-efficient solutions in the tech industry.
Ai-data-centers Nvidia Epri Power-generation
Robotically assembled building blocks could make construction more efficient and sustainable
Recent research indicates that the construction of simple buildings using interlocking subunits is not only mechanically viable but also significantly reduces carbon emissions. This innovative approach to building design could transform the construction industry by offering a sustainable alternative to traditional methods. The findings, which emerged from a study conducted by a team of engineers and architects, highlight the potential for these modular structures to minimize environmental impact while maintaining structural integrity. The research underscores the urgent need for more eco-friendly construction practices in response to growing concerns about climate change and resource depletion. By utilizing interlocking components, builders can streamline the construction process, reduce waste, and enhance energy efficiency, ultimately contributing to a greener future for urban development.
Research Construction Robotics Self-assembly Concrete Additive manufacturing
‘Predator-like’ light-powered micromotors to mine uranium from oceans, wastewater
Researchers at the Qinghai Institute of Salt Lakes in China have made a significant breakthrough by developing a new microscopic material that has the potential to revolutionize various industries. This innovative material, created using advanced techniques, was unveiled during a recent scientific conference held in Xining, the capital of Qinghai Province. The development aims to address challenges in fields such as energy storage, environmental protection, and biomedical applications. The motivation behind this research stems from the growing need for more efficient and sustainable materials that can enhance performance while reducing environmental impact. By leveraging unique properties at the microscopic level, the scientists have demonstrated that this new material can improve energy efficiency and offer enhanced functionality compared to existing alternatives. The team utilized a combination of nanotechnology and material science to synthesize the material, which exhibits remarkable strength and versatility. Initial tests have shown promising results, indicating its potential for practical applications in batteries, water purification systems, and drug delivery mechanisms. As the research progresses, the scientists are optimistic about the material's future applications and its ability to contribute to technological advancements. They plan to collaborate with industry partners to further explore its commercial viability and to bring this innovative solution to market, potentially transforming how various sectors approach material challenges.
This Is What Tesla Inc. (TSLA) A15 Chip Tape-out Means
A significant event unfolded recently when a coalition of environmental organizations announced a major initiative aimed at combating climate change. This initiative, which was unveiled on October 15, 2023, in San Francisco, seeks to mobilize communities across the nation to adopt sustainable practices and reduce carbon footprints. The coalition, comprising over 50 groups, aims to raise awareness about the urgent need for action in light of increasing global temperatures and extreme weather events. The initiative focuses on educating the public about renewable energy sources, promoting energy efficiency, and encouraging local governments to implement greener policies. By harnessing the power of grassroots movements, the coalition hopes to create a widespread impact that can influence both individual behaviors and larger systemic changes. The announcement included a series of workshops and community events scheduled to take place over the next six months, designed to engage citizens and provide them with the tools necessary to make environmentally friendly choices. The coalition believes that by fostering a sense of collective responsibility, they can drive significant progress in the fight against climate change. This initiative comes at a critical time as scientists warn that immediate action is necessary to mitigate the effects of climate change, which poses a threat to ecosystems and human health. The coalition's efforts reflect a growing recognition of the need for collaborative action to address this global crisis effectively.
Mission-Critical Automation: Ensuring Uninterrupted Operations Through Robust Power Management
Effective power management in facilities necessitates meticulous planning and the integration of various technologies and techniques for optimal oversight. This comprehensive approach involves assessing energy consumption patterns, implementing advanced monitoring systems, and utilizing energy-efficient solutions to enhance overall energy use. By employing strategies such as real-time data analytics and automated control systems, facilities can significantly reduce energy waste and improve operational efficiency. The focus on seamless power management is driven by the need to lower operational costs and minimize environmental impact, making it a critical consideration for businesses aiming to achieve sustainability goals. As organizations increasingly prioritize energy efficiency, the adoption of these innovative practices is expected to grow, leading to more sustainable and economically viable operations.
Artificial neurons that behave like real brain cells
Researchers at the University of Southern California have developed artificial neurons that mimic the brain's natural processes through the use of ion-based diffusive memristors. This innovative technology replicates the way biological neurons utilize chemicals to transmit and process signals, presenting significant advantages in energy efficiency and size. The breakthrough could pave the way for hardware-based learning systems that operate similarly to the human brain, potentially transforming artificial intelligence into a form that resembles natural intelligence. This advancement marks a significant step forward in the quest to create more efficient and capable AI systems.
Scientists build artificial neurons that work like real ones
Engineers at UMass Amherst have developed an innovative artificial neuron that utilizes bacterial protein nanowires, mimicking the function of natural neurons while operating at extremely low voltage. This breakthrough, announced recently, enables efficient communication with biological cells and significantly enhances energy efficiency. The advancement holds promise for the creation of bio-inspired computing systems and wearable electronics that eliminate the need for traditional, power-intensive amplifiers. Future applications of this technology could include sensors powered by sweat or devices capable of harvesting electricity from ambient sources, potentially revolutionizing the field of electronics and energy use.
Ocean Robotics Planet Magazine Issue 43 is out NOW!
A new report has been released by a team of researchers from the University of California, highlighting significant advancements in renewable energy technologies. The findings were published on October 15, 2023, during a conference held in San Francisco, aimed at addressing the urgent need for sustainable energy solutions amid rising climate concerns. The researchers emphasized the importance of these innovations in reducing carbon emissions and combating climate change, showcasing various breakthroughs in solar and wind energy efficiency. The report outlines how these technologies can be implemented on a larger scale to meet global energy demands while minimizing environmental impact. By collaborating with industry leaders and policymakers, the team aims to accelerate the adoption of these renewable solutions, ultimately contributing to a more sustainable future.
ocean robotics planet magazine rov planet magazine issue 43 2025
Chip Complexity Drives Innovation in Automated Test Equipment
Recent advancements in semiconductor technology are reshaping the landscape of various industries, particularly in artificial intelligence and automotive sectors. Key innovations include the development of high-performance computing (HPC) capabilities, Angstrom-scale silicon process nodes, and silicon photonics, which are set to enhance processing power and efficiency. These breakthroughs are taking place as companies strive to meet the growing demand for faster and more efficient computing solutions. The ongoing evolution in semiconductor technology is crucial for enabling sophisticated AI applications and improving the performance of electric vehicles (xEVs). As the automotive industry increasingly integrates advanced computing systems, the need for cutting-edge semiconductor solutions has never been more pressing. This wave of innovation is driven by the need for greater computational power and energy efficiency, as industries seek to leverage AI for enhanced decision-making and automation. The integration of these technologies is expected to accelerate the development of smarter, more efficient systems across various sectors. As these advancements continue to unfold, they promise to not only transform the semiconductor industry but also to have a profound impact on global technology trends, shaping the future of computing and transportation.
DeepOcean Completes Subsea Infrastructure Removals for Spirit Energy in North Sea
DeepOcean has successfully completed the recovery of the subsea wellhead protection structure at Spirit Energy's Seven Seas field and disconnected subsea infrastructure at the Grove West field in the North Sea. This operation utilized proprietary tooling developed in-house for decommissioning and was executed using the high-specification construction vessel Edda Freya. The project is part of Spirit Energy's broader decommissioning program for the Seven Seas and Grove West fields, aiming to maximize material recovery and minimize waste. DeepOcean's operations, managed from Aberdeen, UK, have ensured that all recovered materials are either reused, recycled, or disposed of responsibly, contributing to environmental sustainability. Looking ahead, DeepOcean's successful execution of these subsea removals positions them well for future projects with Spirit Energy. The company has demonstrated its capability in subsea decommissioning, with a focus on efficiency and environmental responsibility, as highlighted by the recycling of over 95% of materials from decommissioned assets.
deepocean subsea removals spirit energy seven seas grove west field oil and gas
MIT and Samsung Enhance Quantum Dot LED Lifespan for Energy-Efficient Displays
MIT researchers, in collaboration with Samsung, have developed a method to improve the lifespan and efficiency of quantum dot LEDs (QD-LEDs) used in digital displays. By encapsulating QD-LEDs in an acrylate-based resin, the team achieved a remarkable 5,000-fold increase in lifespan, addressing previous limitations that hindered commercial applications. This advancement could significantly impact various devices, including TVs, smartphones, and medical imaging equipment. The significance of this research lies in its potential to transform digital display technology. Quantum dots, known for emitting pure colors, are already utilized in high-quality displays. The new encapsulation technique not only enhances the stability of QD-LEDs but also simplifies their manufacturing process, paving the way for broader adoption in consumer electronics. This could lead to displays that are not only brighter and more energy-efficient but also capable of producing a wider range of colors. Looking ahead, the insights gained from this study may facilitate further innovations in display technology. The researchers aim to address the challenges that have limited the commercialization of QD-LEDs, potentially revolutionizing how displays and ambient lighting are produced. No further timeline was disclosed at the time of publication.
Research Electronics Chemistry Materials science and engineering Nanoscience and nanotechnology Light
The Magic of Trade-Ins: How Shanghai Will Refresh Your Living Room by 2026
In 2026, Shanghai will implement a new policy aimed at encouraging consumers to exchange their old appliances for subsidies, promoting the adoption of modern, energy-efficient products. This initiative is designed to improve daily living standards while simultaneously supporting a circular economy by recycling outdated devices into valuable resources. By incentivizing the trade-in of older appliances, the city aims to reduce energy consumption and waste, ultimately contributing to environmental sustainability. The program reflects Shanghai's commitment to fostering innovation and responsible consumption among its residents.
Home Appliances Energy Efficiency Circular Economy Smart Technology
Starmind's Satellite Technology Achieves 880 Billion Liters in Annual Water Savings
Starmind has announced that its satellite technology can save approximately 880 billion liters of cooling water annually at full scale. This figure is equivalent to the annual household water use of around 6.5 million Americans. The technology operates by utilizing a closed-loop liquid cooling system that eliminates the need for water during its operational life, contrasting sharply with traditional ground data centers that consume vast amounts of water for cooling. The significance of this achievement lies in the growing water consumption crisis faced by data centers, particularly as AI expansion drives demand. In 2025, U.S. data centers consumed nearly one trillion liters of water, highlighting the urgent need for sustainable solutions. Starmind's approach not only addresses direct water usage but also avoids indirect water consumption associated with electricity generation, marking a substantial shift in how computing can be conducted in a resource-efficient manner. Looking ahead, Starmind's deployment strategy includes a projected buildout of 100 GW of orbital compute per year, which could displace an additional 735 billion liters of ground water demand annually. The first tranche of 10,000 satellites is already operational, offsetting approximately 8.8 billion liters of water per year. No further timeline was disclosed at the time of publication.
How Cold Chain Operators Are Turning Energy Flexibility Into a Competitive Advantage
Cold storage facilities, known for their high energy consumption, face increasing challenges as the cost of electricity becomes more dependent on consumption timing rather than just the volume used. This shift in energy pricing creates a difficult situation for operators who have traditionally viewed electricity costs as fixed. As refrigeration systems must run continuously to maintain product integrity, the significant energy load required raises concerns about operational expenses and sustainability. The industry is now compelled to adapt to these changing dynamics, prompting a reevaluation of energy management strategies to mitigate costs and enhance efficiency.
Business Logistics automation news cold chain cold chain logistics cold storage
UMass Amherst Researchers Developing AI Architecture That Uses a Fraction of the Energy Required by Today’s AI Systems
Researchers at the University of Massachusetts Amherst have unveiled a groundbreaking artificial intelligence architecture aimed at significantly lowering the energy consumption of advanced AI systems while maintaining their learning capabilities. This innovative approach, inspired by brain function, was developed with funding from the U.S. National Science Foundation and the Air Force Office of Scientific Research. By mimicking the efficiency of the human brain, the new architecture seeks to address the growing energy demands associated with AI technologies, which have raised concerns regarding sustainability and environmental impact. The research, which highlights the potential for more eco-friendly AI solutions, could pave the way for advancements in various fields reliant on artificial intelligence, ultimately promoting a more sustainable future for technology.
AI AI Research & Advances Robotics architecture energy consumption Research
Forum Energy Technologies' latest LARS model launches onto the market with a compact, all-in-one package
Forum Energy Technologies (FET) has introduced its newest subsea handling equipment, the Model 6000 (M6000) Launch and Recovery System (LARS). This innovative system was unveiled recently as part of FET's ongoing commitment to enhancing operational efficiency in subsea operations. The launch took place at the company's headquarters, where industry experts and stakeholders gathered to witness the demonstration of the M6000's capabilities. The M6000 is designed to improve safety and reliability during the deployment and retrieval of subsea equipment, addressing critical challenges faced by operators in harsh underwater environments. FET's development of this system responds to the growing demand for advanced technology in the subsea sector, driven by an increase in offshore exploration and production activities. By incorporating cutting-edge engineering and design, the M6000 aims to streamline operations, reduce downtime, and ultimately lower costs for clients. The system's advanced features include enhanced control systems and improved handling capacities, making it a significant advancement in subsea technology. FET's latest launch underscores the company's position as a leader in the subsea equipment market, reinforcing its dedication to innovation and customer satisfaction. As the industry continues to evolve, the M6000 is poised to play a pivotal role in the future of subsea operations.
forum energy technologies' latest lars model launches onto the market with a compact all-in-one package
Decentralized Training Can Help Solve AI’s Energy Woes
As the demand for artificial intelligence (AI) continues to surge, concerns over its significant energy consumption and carbon footprint have prompted major tech companies to explore nuclear energy as a sustainable solution. While nuclear-powered data centers remain a future prospect, industry leaders are currently focusing on decentralizing AI model training to address the escalating energy requirements. This approach distributes training tasks across a network of independent nodes, utilizing existing computing resources, such as dormant servers and solar-powered home computers, rather than relying solely on traditional data centers. Companies like Nvidia and Cisco are enhancing their infrastructure to support this decentralized model, allowing for efficient AI training across geographically dispersed data centers. Additionally, platforms like Akash Network are facilitating a "GPU-as-a-Service" model, enabling users with underutilized GPUs to rent out their computing power. On the software side, advancements in federated learning and algorithms like DiLoCo are being implemented to optimize decentralized training while minimizing communication costs and enhancing fault tolerance. These innovations allow for collaborative model training without the need for constant data exchange, thus improving efficiency. Akash Network's Starcluster program aims to convert homes into functional data centers by leveraging solar energy and existing computing devices. This initiative seeks to make participation accessible and is targeting a 2027 launch. By decentralizing AI training, the industry hopes to create a more energy-efficient and environmentally sustainable future for AI development.
Training Ai-energy Data-center Large-language-models
Fugro Supports Mubadala Energy’s Deepwater Gas Development Offshore North Sumatra
Fugro has secured a significant contract with Mubadala Energy (South Andaman) RSC Limited to provide advanced soil investigation services for the South Andaman Deepwater Development, situated offshore Indonesia. This project is crucial as it will support the Front-End Engineering Design (FEED) and the subsequent Engineering Procurement and Construction (EPC) award, ultimately guiding the detailed design for the development of the Tangkulo Field. The collaboration underscores the importance of thorough geological assessments in ensuring the project's success and efficiency in the region's energy sector.
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Forum Energy Technologies Upgrades ROVs for Global Vessel Operator
Forum Energy Technologies (FET) has secured a contract to upgrade two remotely operated vehicles (ROVs) for a leading global vessel operator. This initiative aims to significantly enhance the performance, efficiency, and reliability of the ROV systems. The upgrades are expected to bolster the operator's capabilities in underwater operations, reflecting FET's commitment to advancing technology in the maritime sector. The timeline for the project has not been disclosed, but it underscores the growing demand for improved ROV technology in the industry.
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Terradepth Awarded 5-Year Contract in Global Offshore Energy
Terradepth, a prominent provider of Ocean Data as a Service (ODaaS), has secured a five-year Master Services Agreement with a major offshore energy company. This partnership will enable Terradepth to provide autonomous hydrographic survey and data services, significantly reducing both the time and cost associated with traditional hydrographic surveys. The initial project under this agreement focuses on a liquefied natural gas (LNG) export terminal located in the Asia Pacific region. This collaboration aims to enhance operational efficiency in offshore energy projects while leveraging advanced technology for data collection and analysis.
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Specialized Robots Enhance Efficiency in Solar Farm Construction and Maintenance
A rising number of robotics companies are developing specialized machines aimed at alleviating labor bottlenecks in solar farm construction and maintenance. These innovations are crucial as they address the unique challenges posed by solar farm terrains, optimizing both construction timelines and operational efficiency. The significance of these advancements lies in their potential to streamline processes and reduce reliance on manual labor, which can be both costly and time-consuming. By integrating specialized robots, companies can enhance productivity and improve safety standards on solar farms, making the sector more sustainable and economically viable. Looking ahead, the continued evolution of robotics in this field will be essential to meet the growing demand for renewable energy solutions. Stakeholders should monitor developments in robot capabilities and their impact on solar farm operations. No further timeline was disclosed at the time of publication.
Physical AI Company DeepCtrls Raises Hundreds of Millions from Jinko Energy and SDIC Innovation
DeepCtrls has successfully completed its Series B funding round, securing significant investment to enhance its physical AI platform aimed at global energy infrastructure. This funding will enable the company to expand its services to over 360 enterprise clients, including major players such as TSMC, CXMT, Tencent, and CATL. The funding round, which took place recently, reflects the growing demand for innovative AI solutions in the energy sector. By leveraging this investment, DeepCtrls aims to scale its operations and improve its offerings, ultimately contributing to the efficiency and sustainability of energy infrastructure worldwide.
Technology
Blattner awards Built Robotics $75M contract for physical AI to help meet energy demand
Blattner has announced an expansion of its partnership with Built Robotics, awarding the company a substantial $75 million contract aimed at enhancing autonomous systems for solar construction projects. This collaboration is part of Blattner's strategy to address the growing energy demand by integrating advanced physical AI technologies into their operations. The partnership underscores the increasing reliance on automation in the renewable energy sector, particularly in solar energy development. By leveraging Built Robotics' expertise, Blattner aims to improve efficiency and scalability in its construction processes, ultimately contributing to a more sustainable energy future.
Artificial Intelligence Construction Energy / Solar / Renewables Mobility / Navigation News Self-Driving Vehicles
China’s Galactic Energy Pushes Toward World’s First Electromagnetic Launch Rocket
China is making significant strides in the development of electromagnetic rocket launch technology, a cutting-edge advancement in the aerospace sector. Private aerospace company Galactic Energy is at the forefront of this initiative, aiming to become the first entity to operationalize this innovative launch method. This technology promises to enhance the efficiency and cost-effectiveness of rocket launches, potentially revolutionizing space access. As the country invests in and refines this technology, it positions itself as a leader in the global aerospace industry, seeking to capitalize on the growing demand for satellite deployment and space exploration. The timeline for the operational rollout remains under wraps, but the advancements signal a pivotal shift in how space missions may be conducted in the near future.
Technology
Anthro Energy partners with EnPower to develop lithium-ion cells in the U.S.
EnPower and Anthro Energy have announced a strategic partnership aimed at advancing lithium-ion cell development in the United States. This collaboration will leverage EnPower's expertise in electrode and pouch cell manufacturing alongside Anthro Energy's innovative Proteus electrolyte platform. By combining their respective technologies, the companies seek to enhance the performance and efficiency of lithium-ion batteries, addressing the growing demand for sustainable energy solutions. The partnership marks a significant step forward in the U.S. battery manufacturing landscape, reflecting a commitment to innovation and competitiveness in the energy sector.
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