AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...

In the rapidly evolving world of Large Language Models (LLMs), a quiet but critical tug-of-war is taking place over how we understand these complex systems. The field of mechanistic interpretability, ...

Companies are now beginning to see that the problem lies not in the model's size, but in whether the AI can actually ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

In boardrooms across Silicon Valley and Wall Street, executives are grappling with an uncomfortable truth: the AI systems powering their most critical decisions are fundamentally unauditable. While ...

Is claude a crook? The AI company Anthropic has made a rigorous effort to build a large language model with positive human values. The $183 billion company’s flagship product is Claude, and much of ...

A new arXiv preprint research paper, Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems, ...

New techniques are giving researchers a glimpse at the inner workings of AI models. Hundreds of millions of people now use chatbots every day. And yet the large language models that drive them are so ...

Data visualization techniques for representing high-degree interactions and nuanced data structures. Contemporary linear model variants that incorporate machine learning and are appropriate for use in ...

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