5Ws of Adaptive Phase Cooling

The energy demand of data centers is growing faster than traditional cooling methods can handle. A new nuclear-inspired approach developed by MIT-spinoff startup Ferveret directly tackles several emerging bottlenecks.

Giving Robots a Sense of Touch: Physical AI Advances with Tactile Sensors

Tactile sensors have existed for years, but what has changed is the systems it feeds into. Physical AI systems have matured to the point where multi-modal contact data can be productively consumed. The next step is to validate the impact on performance and training efficiency. Read on to learn more.

Aya Durbin of Boston Dynamics on Why Humanoids Are the Future of Manufacturing

Humanoid robots are moving beyond eye‑catching demos and into real-world operations. This shift is being driven less by hardware and more by advances in AI....

Cognex CEO Matt Moschner on Advancing Industrial Automation with AI-Powered Machine Vision

Matt Moschner, President and CEO of Cognex, discusses the most important trends shaping automation today and its future outlook.

VR Greenhouse: Digital Twins Allow Farmers to Walk the Fields from Anywhere

Engineers have developed a system that creates “digital twins” of real farms, allowing users to walk through fully interactive virtual spaces and observe actual plants in real time.

Autonomous AI Design Unlocks a Faster Route to Custom Materials

In this interview, Argonne Scientist Jie Xu, also an Assistant Professor at the University of Chicago Pritzker School of Molecular Engineering, discusses the results of her research and more. Read now!

AI Boosts Snakebot’s Movement Efficiency

A research group has developed a snake-like robot artificial intelligence that optimizes its rolling movement using deep reinforcement learning. This movement is aided by a unique “observation buffer” that uses data from the robot’s sensors to analyze angular velocity, acceleration, and body state information. Read on to learn more.

Delivering Industrial-Grade Physical AI at Scale

ABB Robotics is integrating NVIDIA Omniverse libraries into ABB Robotics’ RobotStudio® to help manufacturers deploy physical AI in real-world robotics applications. Read on to learn more.

New AI Model Aims to Cut Energy Use

Researchers in the School of Engineering at Tufts University have developed a proof-of-concept for efficient AI systems that could use 100 times less energy than current ones while at the same time provide more accurate results on tasks.

COTS Edge AI Accelerators for SWaP-C Constrained Defense and Space Systems

Edge AI is beginning to incorporate compact generative approaches to support greater autonomy. This shift is accelerating the adoption of COTS edge AI accelerators as an alternative to centralized processing and legacy radiation-hardened compute architectures. Read on to learn more.

Obtaining 6G Edge Intelligence

The race to develop sixth-generation (6G) mobile networks is accelerating, with commercialization expected by 2030. Read on to learn how some researchers are exploring the integration of edge AI and space–ground integrated networks (SGINs) to extend AI services globally.

A Blueprint for a 6G Core Network

A research team from Huawei’s advanced wireless labs in Canada and China has published a blueprint for a 6G core network that can generate, update, and execute its own control procedures without human intervention. Read on to learn more.

2026 Battery & Electrification Summit (Online)

As electrification reshapes how vehicles are designed, powered, and integrated into energy ecosystems, OEMs and design engineers are faced with complex design challenges.

A Smart Sensor Performs AI Tricks While Capturing Spectral Images

By folding AI algorithms into a camera’s sensor itself, researchers at the Department of Energy’s Lawrence Berkeley National Laboratory have now eliminated a data-processing bottleneck that has long plagued the performance of spectral imaging technology. The result is an intelligent sensor capable of identifying chemicals and characterizing materials quickly and efficiently. Read on to learn more.

Using AI to Control a Robot on the International Space Station

Stanford researchers have introduced a system designed to help Astrobee, a cube-shaped, fan-powered robot, autonomously navigate the International Space Station. Read on to learn more.

Physical AI Accelerates Next-Gen Biomanufacturing

Robotic biomanufacturing company Multiply Labs recently announced a landmark milestone in its mission to scale production of cell and gene therapies. The company is now leveraging NVIDIA’s open Isaac and GR00T technologies including advanced robotics simulation and perception, marking a turning point for an industry that has historically relied on manual, “artisanal” processes. Read on to learn more.

New Neural Blueprint Lets Soft Robots Learn Once and Adapt Instantly

A new artificial intelligence control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly, without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications. Read on to learn more.