A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

AI innovations have long promised productivity at scale, powered by breakthroughs in underlying technologies such as large language models (LLMs), aiding state-of-the-art applications to reason with ...

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.

Artificial intelligence has been growing in size. The large language models (LLMs) that power prominent chatbots, such as OpenAI’s ChatGPT and Google’s Bard, are composed of well more than 100 billion ...

There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

Sophie Bushwick: To train a large artificial intelligence model, you need lots of text and images created by actual humans. As the AI boom continues, it's becoming clearer that some of this data is ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends a warning about unusual activity on an account, or a weather app predicts ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...