The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Kilpatrick of Google Deepmoind is claiming what we historically thought of as "the model" is no longer just weights — it's a ...

In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

NTT DoCoMo unveiled a network-centric AI cluster across Japan powered by its all-photonic network (APN) technology concept. The "GPU over APN" testbed is a wide-area distributed graphics processing ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Model collapse AI training data risk grows as Meta’s Brand Memory ad tools flood the open web with synthetic content, ...