Neural networks

15 Nov 23

Better Machine-Learning Models With Quantum Computers

Computer & Information Technology

Researchers at the quantum-computing company Terra Quantum have demonstrated improved training of machine-learning models by using a new method that combines the best features of classical and quantum computers. These results are a promising sign for the young field of quantum machine learning, which is slow to get off the…

23 Oct 23

IBM Debuts Brain-Inspired Chip For Speedy, Efficient AI

Electrical, Electronics & Instrumentation, Metallurgy & Material Science

A brain-inspired chip from IBM, dubbed NorthPole, is more than 20 times as fast as—and roughly 25 times as energy efficient as—any microchip currently on the market when it comes to artificial intelligence tasks. According to a study from IBM, applications for the new silicon chip may include autonomous vehicles…

04 Sep 23

This Neural Net Maps Molecules to Aromas

Electrical, Electronics & Instrumentation, Mechanical, Production & Manufacturing

Sensory sciences have come a long way in explaining how some physical phenomena—a particular wavelength of light, for example, or a column of air vibrating at a set frequency—correspond to a typical perceptual experience. The sense of smell, however, has proven elusive. Until recently, there was simply no way to…

27 Apr 23

“Liquid” Neural Network Adapts on the Go

Civil, Structural & Architecture

In the realm of artificial intelligence, bigger is supposed to be better. Neural networks with billions of parameters power everyday AI-based tools like ChatGPT and Dall-E, and each new large language model (LLM) edges out its predecessors in size and complexity. Meanwhile, at MIT’s Computer Science and Artificial Intelligence Laboratory…

06 Apr 23

Hybrid Memristor AI Chips Could Scale

Electrical, Electronics & Instrumentation, Metallurgy & Material Science

By combining atomically thin devices with conventional microchips, scientists have created brain-mimicking hybrid electronics that can help implement neural-network artificial-intelligence systems in a far more energy-efficient way than standard electronics, a new study finds.As electronics become tinier and tinier, scientists are investigating atomically thin 2D materials for next-generation electronics. For…

23 Feb 23

Watch Syntiant’s 1-Milliwatt Chip Play Doom

Computer & Information Technology

There are many things to do with an always-on 1-milliwatt machine-learning chip, but few spark the imagination quite like watching it play Doom. At the 2023 IEEE International Solid State Circuits Conference (ISSCC) in San Francisco this week, Irvine, Calif.–based Syntiant detailed the NDP200. This is an ultralow-power chip designed…