Nature

Computation and Machine Learning for Chemistry

The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...
EurekAlert!

Schematic illustration of computation-guided and machine learning (ML)-assisted inorganic materials synthesis. (IMAGE)

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...
EurekAlert!

Schematic of a laser nanofabrication system with machine learning-enabled real-time position recognition during fabrication. (IMAGE)

(a) Schematic of the laser nanofabrication system. (b) Simulated and experimentally captured images. N-defocus indicates the focal point below the sample surface, In-focus indicates the sample at the ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Drexel University

Master’s (MS) in Machine Learning and Artificial Intelligence

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...