Cybersecurity today faces a key challenge: It lacks context. Modern threats—advanced persistent threats (APTs), polymorphic malware, insider attacks—don’t follow static patterns. They hide in plain ...
Last year, I participated in a roundtable discussion on artificial intelligence at Fluke Reliability’s Thought Leadership Day ...
Support for AI among public safety professionals rose to 90% in 2024, with agencies rapidly adopting large language models (LLMs) to streamline operations and improve engagement. LLMs are being used ...
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A better method for identifying overconfident large language models
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
The growing impact of expensive large language model outages demands a return to architectural basics in order to maintain ...
“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...
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 ...
Fawad Butt has served as chief data officer at Kaiser Permanente, UnitedHealthcare and Optum, some of the largest healthcare organizations in the country. Today, he is CEO of Penguin Ai, a healthcare ...
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