Privacy-preserving AI workloads can make expensive GPUs look underused. CIOs should understand the bottleneck before ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Training AI models used to mean billion-dollar data centers and massive infrastructure. Smaller players had no real path to competing. That’s starting to shift. New open-source models and better ...

AI researchers at Google have developed VaultGemma, a small-scale AI model specially designed to prevent memorization and potential leakage of specific training data. With businesses using potentially ...

The real headline is what ZAYA1-8B was trained on: a full stack of AMD Instinct MI300 graphics processing units (GPUs), the rival to Nvidia GPUs.

Meta Platform Inc.’s AI research division has released a new artificial intelligence model today that makes crucial steps in AI training that advances learning by interpreting video information ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...

Anthropic has seen its fair share of AI models behaving strangely. However, a recent paper details an instance where an AI model turned “evil” during an ordinary training setup. A situation with a ...

Those with an interest in the concept of AI alignment (i.e., getting AIs to stick to human-authored ethical rules) may remember when Anthropic claimed its Opus 4 model resorted to ...

Open source robotics AI model MolmoAct2 from the Allen Institute for AI runs up to 37 times faster than its predecessor, ...