Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Zero-reliance financial automation is a development in which loss of one point does not extend to the other payment network, ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Abstract: Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a ...

As immigration agents and protests lead some families to keep children home, schools around the Twin Cities are offering a remote option for the next several weeks. By Sarah Mervosh Education reporter ...

Empowering education systems, educators, and students to thrive in the AI-era. Classrooms are places of possibility where curiosity meets knowledge, and potential becomes reality. At Microsoft, we’ve ...