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

If you push an AI system too hard by giving it unclear prompts, making it do too many things at once or skipping context, it ...

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

B-Preview, an open source AI coding model based on Deepseek-R1-Distilled-Qwen-14B. The model achieves a 60.6% pass rate on ...

DeepSeek's advancements were inevitable, but the company brought them forward a few years earlier than would have been ...

Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches ...

Scientists have uncovered how close we can get to perfect optical precision using AI, despite the physical limitations imposed by light itself. By combining physics theory with neural networks trained ...

Data scientist explains how we are limiting models like ChatGPT in training them—and how that’s narrowing research ...

Abstract: Overfitting remains a persistent challenge in deep learning. It is primarily attributed to data outliers, noise, and limited training set sizes. This paper presents Divide2Conquer (D2C), a ...