New research shows AI language models mirror how the human brain builds meaning over time while listening to natural speech.

Lenovo is seeking partnerships with multiple large language models around the world to power its devices as it aims to establish itself as a global AI player, the company's chief financial officer ...

AI models including GPT-4.1 and DeepSeek-3.1 can mirror ingroup versus outgroup bias in everyday language, a study finds. Researchers also report an ION training method that reduced the gap.

When models are trained on unverified AI slop, results drift from reality fast. Here's how to stop the spread, according to Gartner.

Every time we speak, we're improvising. "Humans possess a remarkable ability to talk about almost anything, sometimes putting ...

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

[7 Jan 2023] ROIC-DM: Robust Text Inference and Classification via Diffusion Model ...

By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.