Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

A combination of unsupervised and supervised machine learning algorithms may be able to assist clinicians in identifying ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...

Opt for NVIDIA RTX 40-series or Apple M3 Max for top-tier ML performance.Go Big on RAM: 32GB is the minimum; 64GB+ is ideal ...

IIT Gandhinagar launches an e-Masters in Machine Learning for engineers. With flexible sessions and mentorship, apply by June ...

Blockchain and artificial intelligence (AI) are two transformative forces reshaping the digital landscape. While AI enhances ...

Santa Clara, California - As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

The information age is built on mathematics. From finding the best route between two points, predicting the future load on a ...