Engineering

Breaking the scaling limits of analog computing

As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers are struggling to keep up.

Business

What's the business potential of the metaverse?

Robert Brunner is the associate dean for innovation and chief disruption officer at the Gies College of Business at the University of Illinois Urbana-Champaign. Brunner spoke with News Bureau business and law editor Phil ...

Engineering

New wind field models accurately describe wind gusts

Researchers at the University of Oldenburg, Germany, have developed a new statistical model with which they can describe wind turbulence with considerably greater accuracy than ever before. The team of scientists from the ...

Robotics

A reinforcement learning-based four-legged robotic goalkeeper

Researchers at the Hybrid Robotics Group at UC Berkeley, Simon Fraser University and Georgia Institute of Technology have recently created a reinforcement learning model that allows a quadrupedal robot to efficiently play ...

Robotics

Exoskeleton walks out into the real world

For years, the Stanford Biomechatronics Laboratory has captured imaginations with their exoskeleton emulators—lab-based robotic devices that help wearers walk and run faster, with less effort. Now, these researchers will ...

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