Generative AI is not just a tool; it's a catalyst for change. By enhancing training datasets, it boosts accuracy, reliability ...

Quantum computing could speed up AI training and inference once the technology matures. IBM's quantum computing track record ...

For the first time in more than five years, OpenAI is launching a new open language model that appears to be state-of-the-art ...

A recent study is the latest to highlight a core AI safety concern: that the pace of development is outpacing humans’ ability ...

Instead of sending raw data to a central server for training, federated learning allows AI models to be trained directly on personal devices. Each device processes data locally, updating the model ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

On Wednesday, the Wikimedia Foundation announced it is partnering with Google-owned Kaggle—a popular data science community platform—to release a version of Wikipedia optimized for training AI ...

This process brings together several key areas of AI research, including synthetic data generation, reinforcement learning and test-time training (TTT). The framework operates on a two-loop system.

In today's fast-paced digital economy, corporate decision-making is undergoing a seismic shift. The traditional reliance on historical data, experience and intuition is giving way to AI-powered ...

Making AI models more trustworthy for high-stakes settings A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make ...