Electronics & Semiconductors

A Bayesian machine based on memristors

Over the past few decades, the performance of machine learning models on various real-world tasks has improved significantly. Training and implementing most of these models, however, still requires vast amounts of energy ...

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.

Automotive

Ford CEO: No plan to spin off EV business, but change coming

The CEO of Ford Motor Co. says the automaker has no plans to spin off its electric vehicle or internal combustion businesses, but is reinventing itself by removing costs and ramping up for large-scale EV and software sales.

Energy & Green Tech

Strong sunlight powers passive cooling device

A simple cooling system driven by the capture of passive solar energy could provide low-cost food refrigeration and living space cooling for impoverished communities with no access to the electricity grid. The system, which ...

Robotics

This 'squidbot' jets around and takes pics of coral and fish

Engineers at the University of California San Diego have built a squid-like robot that can swim untethered, propelling itself by generating jets of water. The robot carries its own power source inside its body. It can also ...

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