A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Leaked details regarding xAI's Grok 5 suggest a massive platform shift, boasting six trillion parameters and native video ...

Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring ...

Rogers joined OSIbeyond in 2014 and has played a critical role in the company's growth and evolution over the past decade. He became a partner in 2020 and most recently served as Chief Experience ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Autodesk's AI-driven Project Bernini expands the addressable market and reduces cyclicality. Find out more about ADSK stock ...

DBA program is specifically designed to equip experienced professionals with advanced research and leadership skills ...

BITS Pilani continues to attract strong national and global attention as one of India’s leading higher-education and research ...

At 4 a.m., while most of New Jersey slept, a Princeton Plasma Physics Laboratory (PPPL) physicist sat at his computer ...

Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...

Over the past year, enterprise adoption of generative AI has shifted from small experiments with large language models to ...