Tech leaders say open models are easier to customize, cheaper to run, and security risks are manageable.

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 ...

Traditionally, AI progress was constrained by one thing above all else: access to data. Not enough volume. Not enough ...

MacroMT, the technology platform under Macro Technology Group, today officially announced the completion of a new upgrade to ...

Private AI models will outperform public AI models. Learn why enterprise AI, private LLMs, and proprietary data will drive most AI revenue.

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, ...

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.

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 ...