This contest to build ever-bigger computing clusters for ever-more-powerful artificial-intelligence ( AI) models cannot ...

Collecting vast and diverse data sets to train AI models is often costly, time-consuming and prone to bias. This app offers a ...

There's not enough human-generated data to keep AI models improving at the same rate. 2025 will put a new solution to the ...

An overview of legislation passed in 2024 relating to AI risk assessment and compliance preparation, including requirements ...

The AI industry has exhausted useful data on the internet, reaching 'peak data.' However, Google researchers are optimistic ...

The past decade of explosive improvement in AI has been driven in large part by making neural networks bigger and training them on ever-more data ... to solve geometry problems using 100 million ...

By monitoring regulatory changes and personalizing training content, AI systems can help organizations maintain compliance ...

A lawsuit filed by Canadian media organizations against OpenAI has brought these issues to the forefront, questioning how AI ...

Sora launched on Monday, and I’ve been playing around with it for a bit (to the extent the capacity issues ... “Training a generative AI model generally involves copying the training data.

After training ... to work on AI annotation and data labeling. But there are also practical ones. At first glance, synthetic data would appear to be the solution to all these problems.

Advancements in artificial intelligence and digitalization are changing the world of work at a rapid pace. In particular, when AI systems are used ...