AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

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 ...

For patients taking medications that don't work as expected or pharmaceutical companies struggling with clinical trial failures, MetaOmics-10T represents a new starting point.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace and texture of real‑world warming. The physics at their core remains sound, ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Giant AI data centers are causing some serious and growing problems – electronic waste, massive use of water (especially in arid regions), reliance on destructive and human rights-abusing mining ...

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets. Large-language models (LLMs) have taken the world by ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

A peculiar scarcity is beginning to take shape in the world of advanced technologies. Despite the ever-increasing amount of data generated from social media posts, from e-commerce transactions to ...