A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid sequences, surpassing slower, more expensive traditional methods.

Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning.

AI, machine learning to keep old structures strong The multi-scale system combines computer vision with a deep-learning algorithm.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.