Chip ramps up artificial intelligence systems' performance

Princeton researchers, in collaboration with Analog Devices Inc., have fabricated a chip that markedly boosts the performance and efficiency of neural networks—computer algorithms modeled on the workings of the human brain.

Helping to improve medical image analysis with deep learning

Medical imaging creates tremendous amounts of data: many emergency room radiologists must examine as many as 200 cases each day, and some medical studies contain up to 3,000 images. Each patient's image collection can contain ...

AI speeds effort to protect endangered elephants

Cornell's Elephant Listening Project tracks African forest elephants with acoustic sensors, but the forests are so remote and the sound files so huge it takes months to collect and analyze the data – too long to rescue ...

Controlling nickelate nano-switches with light

Dr. Giordano Mattoni, quantum researcher at TU Delft, and his collaborators have shown that the nano-electronic phase transition in a class of materials known as nickelates can be controlled by laser light. Their findings, ...

Chip lights up optical neural network demo

Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural ...

page 4 from 15