The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

In the video, Jain said that he secured the job through campus placements after graduating from IIT Mandi, where the company ...

DUBAI – Multidisciplinary consultancy Khatib & Alami (K&A) has signed an agreement with Ajman University to establish an ...

As India hosts the AI Summit 2026, the gap etween what AI can do, what it is doing, and what the legal system is equipped to address, is widening. That gap carries real consequences for citizens, ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Overview Data science continues to rank among the highest-paying careers in the United States.Average salaries in 2026 remain in the six-figure range, with top ...

The Growing Challenge of Cybersecurity in Lean IT Environments In today’s digital landscape, cybersecurity threats are evolving faster and becoming more sophisticated than ever before. Organizations, ...