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 ...

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 ...

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

Dubai, UAE, The UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office, in collaboration with Samsung Gulf Electronics, celebrated the graduation of 130 students from ...

DUBAI, 17th February, 2026 (WAM) -- The UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office, in collaboration with Samsung Gulf Electronics, celebrated the graduation ...

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.