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

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

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 ...

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 ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...

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

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel ...

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network (SNN) platform. This includes chips like the Akida AKD1000 (Fig. 1) as well ...

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