Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Recurrent Neural Networks (RNNs) are AI models designed to process sequential data, capable of sequentially handling words and temporarily storing previously processed information in short-term memory ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...

The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so ...