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 ...

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 ...

To address the demands of today’s enterprises, data centers require next-generation network fabrics that leverages modern ...

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, ...

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

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 ...

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

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

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Unlock the blueprint for future-proof data center networks in the AI era. This Nokia whitepaper offers essential insights on building reliable automated fabrics and high-performance interconnectivity, ...