For years, the AI community believed that larger models are naturally more secure. The logic was simple: as larger models ...

Sumeet Kumar is the Co-founder and CEO of Innatera Nanosystems, where he leads the development of ultra-efficient ...

The era of building larger AI models is coming to an end. As computational scale shows diminishing returns, a new approach ...

The security operations center (SOC) is at a breaking point. Analyst burnout has long been a critical risk, but the problem ...

Seventeen-year-old student Vaishnav Anand has developed the first AI system capable of detecting “geospatial ...

New research shows that coding AIs such as ChatGPT suffer from the Dunning-Kruger Effect, often acting most confident when ...

Last November, Anthropic rolled out the Model Context Protocol (MCP), which initially attracted muted interest. The company tucked the news into a blog post, calling MCP an open standard meant to ...

Kimberly Nevala is the Director of Business Strategies for SAS Best Practices, where she advises on the strategic value and practical impact of emerging analytic applications and information trends.

Vara Kumar is the co-founder and Head of R&D and Solutions at Whatfix, driving innovation and strategic growth for the ...

Censorship in language models may be undermining their ability to report truth at a wider level. New research finds that the same internal mechanisms used to block 'unsafe' responses also suppress ...

A developer leans back in frustration after another training run. A significant amount of work was spent over many months fine-tuning a large language model. Data pipelines were expanded, and compute ...

If a fraudster can weaponize a Large Language Model (LLM) to generate a million perfect, unique phishing emails in an hour, why are we still fighting an AI war with human-speed signature updates? The ...