LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

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

Internal reports have emerged that learning data workers hired to make AI (artificial intelligence) smarter are using AI ...

Enterprise leaders already sense a constraint on their AI efforts, but many aren’t looking in the right direction for ...

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

Chinese AI models are challenging OpenAI and Anthropic on cost, but enterprises must weigh lower prices against security, compliance, and vendor risk.

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

A new DataGrail report finds many AI vendors fail to disclose subprocessors and hidden models, exposing companies to rising ...

As institutions become more data-rich and data-reliant, their capacity for analytics is not necessarily keeping up. In an Educause QuickPoll of higher education IT leadership focused on data strategy ...

Big pharma shares its machine learning models with biotechs, but awaits definitive data on success of artificial intelligence-generated drugs. You have full access to ...

Metal additive manufacturing (AM) has developed rapidly in recent decades due to its incomparable capabilities in fabricating parts. Specifically, instead of removing materials from a solid block in ...