David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...

Anthropology Professor John Ziker won a $265,860 National Science Foundation award for his project, “A Cross-Cultural Study ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

Prof. Laura Gagliardi at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) and Chemistry Department has developed a powerful new tool that harnesses electronic ...

Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Bielefeld researchers analyze in Nature Machine Intelligence how humans and AI systems learn new things and what this means for the future of Artificial Intelligence.

Abstract: Machine Learning (ML) techniques have been successfully used in many areas of High Energy Physics (HEP) and will play a significant role in the success of upcoming High-Luminosity Large ...

Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice for preempting trends.