This framework could then be integrated with existing neuroscience theories. To develop their framework, they employed artificial neural networks (ANNs) trained via reinforcement learning.

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

In two or three years, Russian companies will transfer their customers to almost complete communication with artificial intelligence. More than 50 companies in Russia are already testing virtual ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Just like most other industries, artificial intelligence is now disrupting the world of investing as well. Crypto AI trading ...

The TinyML Foundation’s work, along with that of Silicon Labs, helps users explore new use-cases and challenges that embedded ...

Now, as people analytics and AI lead at a $150 billion financial technology platform, he’s built a solution that doesn’t just ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

In an office at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, or MIT ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...