A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to practical quantum computers, yet finding new ones has long been a slow, ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...