Human cognition relies on the seamless integration of multiple senses, allowing the brain to associate, infer, and even ...

In early phases of drug development, new active substances are tested in animals—alongside numerous other experimental ...

Neural networks are able to build personalized learning of a foreign language, eliminating the main psychological barrier — ...

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

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

A new approach has been proposed to address the problem of "overconfidence"—one of the most critical risks of artificial ...

Researchers at Goethe University and Philipps University Marburg, in collaboration with the Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, have developed a new artificial ...

In 2026, neural network research is advancing in efficiency, adaptability, and workflow reasoning, yet the MLRegTest benchmark shows persistent weaknesses in rule generalization. Researchers are ...

A study using the MLRegTest benchmark tested 1,800 artificial languages to evaluate whether neural networks can learn underlying rules rather than just patterns. The results show that while models ...

Criminal networks are actively deploying automated and AI-driven tools to attack financial systems at speeds human analysts ...

Researchers discover decision-making signals in the brain's early sensory regions, suggesting bidirectional feedback loops ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...