This review explores the intersection between large language models (LLMs) and cognitive science by examining similarities and differences between LLMs and human cognitive processes. It evaluates ...

Artificial intelligence (AI) is rapidly transforming healthcare. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and ...

A man breached Windsor Castle with a crossbow after his large language model (LLM)-based companion encouraged an ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...

Abstract: Future 6G wireless systems will feature massive connectivity, complex tasks, limited resources, and heterogeneous architectures, posing significant challenges to decision-making regarding ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Every day, government agencies generate millions of audit log entries tracking system access, financial transactions and data changes across dozens of critical systems. Internal auditors and ...

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

Add Decrypt as your preferred source to see more of our stories on Google. Source: Decrypt The defining strategy of 2025 was not choosing a single “best large language model.” It was assembling a ...

Sign language basics explained clearly !! Investigators seize luxury goods over alleged fraud US officials warn snowbirds of 'violent crime' in winter destination hot spot Pam Bondi needs an ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...