Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scenarios have been discovered in which it is impossible to prove whether or not a machine-learning algorithm could solve a particular problem. This finding might have implications for both ...

The mathematicians, who were working on a machine-learning problem, show that the question of ‘learnability’ — whether an algorithm can extract a pattern from limited data — is linked to a ...

Traditional methods are ineffective at tackling the problem for more than a few components, so Carleo and Matthias Troyer – who was then a colleague at ETH Zurich in Switzerland – applied a ...

Every engineering project has delays and issues, but machine-learning projects are harder to manage than any other. In the first week you might go from zero to 80% accuracy.

Machine learning has been successfully applied to demand planning, but leading suppliers of supply chain planning are beginning to work on using machine learning to improve production planning.

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper, and David Baker for using machine learning to tackle one of biology’s biggest challenges: predicting the 3D shape of proteins ...