For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

HOPPR, a secure AI development platform for medical imaging, today announced the commercial release of its HOPPR Marie Curie Chest Radiography Foundation Model and fine-tuning API for binary ...

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike seeing an image of a star in a telescope, saying anything at all about the ...

A I vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

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