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.
UMass Amherst Researchers Developing AI Architecture That Uses a Fraction of the Energy Required by Today’s AI Systems
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
JD Cloud to Establish 100,000-GPU Computing Cluster Utilizing Moore Threads Technology
JD Cloud has announced plans to construct a computing cluster featuring 100,000 general-purpose GPUs from Moore Threads. This initiative was unveiled during JD's 2026 Global Technology Explorers Conference and aims to enhance capabilities in large-model training, inference, and embodied AI, making computing resources accessible to various industries. The ...
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Antioch Raises $32 Million to Enhance Cloud-Based Robot Testing Capabilities
Antioch, a New York-based startup, has secured $32 million in Series A funding led by Greylock to advance its cloud-based robot testing platform. This funding will enable Antioch to bridge the gap between simulation and real-world testing, which has been a significant bottleneck for robotics developers. The company aims to shift robot development from phy...
Robot Development Cloud Simulation AI Testing
Datavault AI Expands Edge AI Deployment to Compete with Hyperscalers in Neocloud Market
Datavault AI is expanding its edge AI deployment onto SanQtum, now operational in New York City, Philadelphia, and Washington, DC. The company plans to launch in three additional cities by the end of the year. This expansion is significant as it positions Datavault AI to compete in the burgeoning $400 billion neocloud market, challenging established hyper...
Panmnesia and Meta Propose New Architecture for Coordinated AI Data Center Operations
Panmnesia, in collaboration with Meta, has proposed a new architecture that enables AI data centers to function more like a unified computer rather than a collection of separate machines. This design utilizes Compute Express Link (CXL) to connect CPUs, AI accelerators, and memory across racks, addressing the challenges posed by the increasing complexity o...
AI and Robotics
Connecting Teams and Data: A Path to Better Decision-Making in Manufacturing
Manufacturers face challenges in decision-making due to siloed data and departmental priorities. Engineering, procurement, and operations often operate independently, leading to short-term focus over long-term strategy. To adapt to pressures like AI and electrification, companies must connect data across functions, enabling informed decisions that conside...
China’s Dexterous Hand Industry, 2026 Part 3 — The Players
Five vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.
Components and Hardware Humanoids
AGIBOT Open-Sources 11,430 Robot Trajectories to Enhance Reinforcement Learning Research
AGIBOT, a Chinese robotics company, has released its WORLD 2026 dataset, featuring 11,430 robot trajectories aimed at advancing research in reinforcement learning for embodied AI. This dataset emphasizes learning from real-world interactions, capturing a range of experiences including successes, failures, and human interventions. The significance of this ...
AI and Robotics
MIT Lincoln Laboratory Researchers Explore Arctic Under-Ice Sounds and Communication Technologies
Researchers from MIT Lincoln Laboratory have been analyzing under-ice sounds in the Arctic, utilizing commercial sensors deployed during the U.S. Navy's Operation Ice Camp (OIC). Their work aims to understand sound propagation through ice, which is crucial for monitoring environmental changes and military activities in the region. The significance of this...
Research Sensors Magnets
Data Collectors at JD Teach Robots to Live Like Humans Through Daily Activities
At JD's Robot Data Collection Center in Suqian, data collectors are teaching robots to mimic human activities such as cooking and scanning. This innovative approach transforms everyday actions into precise data points, essential for training embodied intelligent models. The center aims to collect over 10 million hours of quality data within two years, rec...
AI Data Collection Robotics
China’s Dexterous Hand Industry, 2026 Part 1 — The Demand Picture
MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
Components and Hardware Humanoids
China’s Dexterous Hand Industry, 2026 Part 2 — The Technology
Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
Components and Hardware
MIT School of Architecture and Planning Announces Faculty Promotions for 2026
The MIT School of Architecture and Planning has recognized 11 faculty members with promotions effective July 1, 2026, for their significant contributions. Among the promotions, four are in the Department of Architecture, three in the Department of Urban Studies and Planning, and four in Media Arts and Sciences. Dean Hashim Sarkis emphasized the creativity...
Faculty Architecture Urban studies and planning
BioRobotics Laboratory, Korea University of Technology and Education
Korea, Republic of (South)
South Korean university research laboratory focusing on haptics, exoskeletons, rehabilitation robotics, and autonomous ground vehicles.
Human Engineering Research Laboratories (HERL)
United States
VA–Univ. of Pittsburgh research center founded 1994, developing wheelchair robotics and assistive mobility tech for veterans and people with disabilities.
Robotics Education & Competition Foundation
United States
The REC Foundation is a US nonprofit that runs VEX-based robotics and drone competitions reaching 1.1 million students across 70 countries.
IT+Robotics (IT)
Italy
IT+Robotics develops 3D machine vision systems for industrial robotics including EyeT+ random bin-picking, adaptive machining path generation and automated 3D completeness inspection for production quality control.
Magellium (FR)
France
French software and data analytics company specializing in satellite image processing, remote sensing, and geospatial intelligence. Serves space, defense, and environmental monitoring sectors. Website unavailable at scrape time.
Ortelio Ltd
United Kingdom
Ortelio Ltd is a UK cloud robotics research company founded in 2011 that develops AI platforms giving robots intelligence for service and healthcare tasks.
Datanomix
United States
No-Operator-Input production monitoring software that turns CNC machine data into real-time visibility and prescriptive coaching for manufacturers.
Data Science Automation, Inc.
United States
Pittsburgh-area automation systems integrator since 1993; NI Select Partner; 3,000+ solutions across manufacturing, R&D, government, and test automation.
Anyscale
United States
Anyscale is a San Francisco AI infrastructure firm behind Ray, the open-source engine for large-scale model training; Nscale agreed to buy it for $1.65B.
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