In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic ...

Convolution neural network (CNN), as one of the most powerful and popular technologies, has achieved remarkable progress for image and video classification since its invention. However, with the high ...

Today, the Chan Zuckerberg Initiative (CZI) announced its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

Previous studies have shown that the event-driven multilayer spiking convolutional neural network (SCNN) can reduce computational complexity largely while keeping accurate. To fully utilize the ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

Helix Parallelism’ can process millions of words and support 32x more concurrent users. It’s a breakthrough, but is it useful ...

Four of the 25 most-cited scientific papers of the 21st century were authored or co-authored by University of Toronto ...

Released on March 24, 2025, Linux Kernel 6.14 introduces significant enhancements for Intel and AMD processors, focusing on ...

Researchers have unveiled the All-Topographic Neural Network (All-TNN), a new AI vision model type that mimics human brain ...

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...