Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning.

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Previously met with skepticism, AI won scientists a Nobel Prize for Chemistry in 2024 after they used it to solve the protein folding and design problem, and it has now been adopted by biologists ...

In 2026, neural networks are achieving unprecedented efficiency, multimodal integration, and workflow comprehension, yet benchmarks like MLRegTest reveal persistent struggles with formal rule learning ...

AI should be able to say ‘I’m Not Sure’ on its own.” A new approach has been proposed to address the problem of ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...