Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...

Predicting rainfall in these areas has always been difficult. The weather patterns are complex, the data is noisy (full of irregular spikes), and rainfall changes rapidly over short period ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

IBM released all the Granite 4 Nano models under the open-source Apache 2.0 license, which is highly permissive. The license ...

How do the circuits of the human brain work—and what happens when they are disrupted? To investigate these questions, ...

For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...

Applied Compute announced on Wednesday that it has raised $80 million in funding. The capital was provided by Benchmark, ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...