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 ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Enterprises should transition from proprietary Large Language Models (LLMs) and third-party cloud services to private AI infrastructure. This shift ensures data privacy, reduces costs, and maintains ...

A new report may help explain why, in part, Apple’s AI approach thus far has differed so much from competitors.

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

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 researchers reviewed how LLMs are being used currently as a technological tool and how they may be used in the future as they become more powerful tools and develop into powerful scientific ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the ...

Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...

Large Language Models (LLMs) have evolved far beyond their initial role as next-word predictors. Recent research, particularly from Anthropic, sheds light on the sophisticated mechanisms driving these ...