An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

He is now bringing that experience to Northwestern Engineering's Master of Science in Machine Learning and Data Science (MLDS) program (formerly the MSiA program), where he is teaching a new elective ...

Karen D’Souza was drawn to pursue a PhD in Purdue University’s artificial intelligence and machine learning program in Indianapolis, sparked by her great experience as a master’s student in West ...

Machine learning program enhances transplant risk assessment in myelofibrosis patients better than current models The open-access model shows that 25% of patients have 40% chance of dying within ...

This work demonstrates a new approach to atmospheric inverse modeling of CO2 emissions using Gaussian Process machine learning and modern probabilistic programming languages.

To demonstrate that machine learning–enhanced SERS would work with complex samples, Halas and her colleagues used the technique to identify polycyclic aromatic hydrocarbons (PAHs)—molecules ...

A new curriculum in the master’s program in Electrical and Computer Engineering’s Machine Learning and Big Data study track will debut in Fall 2025, aligning student training with current industry ...

Our approach aims at creating a method by which these algorithms can be developed by using machine learning instead of conventional programming. This has the potential to quicken development time for ...