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 ...
Large language models (LLMs), artificial intelligence systems that can process and generate texts in different languages, are ...
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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 ...
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 ...
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 ...
Last year, I participated in a roundtable discussion on artificial intelligence at Fluke Reliability’s Thought Leadership Day. They invited me to play foil at the lead-up to their Xcelerate 2025 ...
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 ...
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