This paper provides a review and commentary on the past, present, and future of numerical optimization algorithms in the context of machine learning applications. Through case studies on text ...

AI has entered a new phase. It is no longer just about building larger models or accessing more data. Today’s competition centers on speed, efficiency and innovation. Companies are seeking new tools ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

We are writing history.” Daedalean CEO, Bas Gouverneur explains how the firm is certifying the first machine learning-enabled ...

From a theoretical viewpoint, machine learning is just an optimization problem where you have a system, and you want to optimize some parameters, or features, so that the machine will do a certain ...

The prize honors innovation at Google DeepMind and in academia. Three researchers share the award for using machine learning to predict proteins’ 3D shapes and design the molecules from scratch.