Electronics & Software

Selecting Polymeric Materials for Electrical Connectors

Reliable electrical connections are necessary to power many aspects of our modern lives. Read on to learn more.

Computer Model Could Thwart Construction Material Emissions

MIT researchers have created a way to make topology optimization designs more buildable. Their framework allows users to apply constraints to algorithmically generated structures to limit their complexity.

NASA Wideband Demo Completes Primary Mission, Extends Operations

NASA’s Polylingual Experimental Terminal (PExT), designed to enable interoperability between satellite relay networks, has completed its planned technology demonstration.

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.

Windows of the Future: Ultrathin Solar Cells Could Turn Any Glass into a Power Generator

Led by Associate Professor Annalisa Bruno, the NTU researchers created perovskite solar cells that are about 10,000 times thinner than a strand of human hair and around 50 times thinner than conventional perovskite solar cells.

Knowledge Is Battery Power

Modern electric vehicles can go hundreds of miles without a recharge, but that long range can diminish faster if battery health isn’t properly tracked and managed. And to do that, you need some smart software...

Designing Intelligence into the Electrical Foundation of Data Centers

Data centers have always been critical infrastructure, but their role has expanded dramatically in recent years. As artificial intelligence, cloud computing, and real-time digital services continue to scale, data centers are under pressure to operate with unprecedented levels of efficiency, reliability, and responsiveness. This shift is driving a quiet but fundamental transformation in how data center infrastructure is designed and managed. Read on to learn more.

From Prop to Participant: How Connectivity and Sensing Power Humanoid Robots

As humanoid robots evolve from experimental systems to industrial platforms, their success will depend less on any individual technological breakthrough and more on how effectively engineers integrate connectivity, sensing, power, and computing into a cohesive architecture. Read on to learn more.

Accelerating Physical AI System Validation with Electronics Digital Twins

AI behavior must remain consistent and predictable across hardware variants, software updates, and real-world conditions. eDTs provide engineers with visibility into how AI-driven software interacts with underlying silicon and system architectures, supporting safer and more reliable deployment. Read on to learn more.

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.

How Much Do You Know About Hybrid-Electric Systems for Off-Highway Vehicles?

Test your understanding of the key concepts and applications of hybrid-electric systems used in construction, mining, agricultural, and other off-highway vehicles.

From Simulation to Shop Floor: Bridging the Sim‑to‑Real Gap for Humanoid Robots

In this interview, Pras Velagapudi, CTO, Agility, discusses the challenges in closing the sim-to-real gap, what makes a humanoid robot ready for real-world deployment and how far is that threshold today.

Now You See It: New Optical Device Uses Humidity to Uncover Hidden Images

Engineers have developed an optical device that reveals hidden images and changes colors in response to different levels of humidity. Read on to learn more.

Training Physical AI with the Digital Twin: A Faster Path to Flexible Robotics

As physical AI continues to advance, it will increasingly be able to tackle tasks previously limited to humans, especially those requiring rapid adaptability in operations that traditional automation and AI systems could simply not handle. Training physical AI models may seem like a daunting task, but read on to learn how to simplify it.

How Physical AI Expands Industrial Robots’ Capabilities

Physical AI changes how automation projects are framed. Read on to learn more about how it can expand industrial robots' capabilities.

Elmo Unveils High‑Power Servo Drives and Motion Controller for Rugged Applications

Elmo, an Isreal-based servo drive technology developer, announced the availability of a new motion controller and new servo drives for a wide range of...

Schneider Electric Launches Industrial Automation Modernization Service

Schneider Electric announced at Automate its new offering — Industrial Automation Modernization as a Service — designed to help industrial organizations modernize...

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....

NVIDIA Announces Industry’s First Full-Stack Safety System for Physical AI

NVIDIA has announced NVIDIA Halos for Robotics, the industry’s first full-stack, comprehensive safety system for robotics and physical AI that unifies AI compute...

Teradyne Advances Physical AI with UR AI Trainer, PolyScope X

Teradyne Robotics, the company behind Universal Robots (UR) and Mobile Industrial Robots (MiR), is demonstrating how physical AI is transforming industrial automation at Automate...