Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Entrepreneurs and investors should take note of how artificial intelligence (AI) is disrupting business in every vertical. As an entrepreneur myself, and the founder of an AI news website, I've had a ...

An artificial intelligence-based deep learning algorithm significantly improves the sensitivity of emergency clinicians in detecting paediatric elbow fractures, a study reports.

AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for a ...