When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and ...

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 ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was ...

The AI models, which are built on massive datasets and can be adapted to multiple tasks, have become a part of medtech companies’ lexicon in the past few years.

Despite AI’s vast potential, a fundamental issue is holding it back; it's called WEIRD data, and it’s a challenge the ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are one of the ...