Increasingly, they’re drawn around data.High-value data — from health records and financial transactions to mobility, energy ...
The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Judge Builder addresses what Pallavi Koppol, a Databricks research scientist who led the development, calls the "Ouroboros ...
A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...
Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...
eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
This story was updated to add new information. LinkedIn user data is being used to train artificial intelligence models, leading some social media users to call out the company for opting members in ...
There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...
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