Austin, Texas, Jan. 20, 2026 (GLOBE NEWSWIRE) -- As an award–winning company working at the intersection of AI, machine learning, and high-stakes scientific data, Sophelio builds signal-first, ...

The AI market is on a trajectory to surpass $800 billion by 2030, reflecting its rapid growth and transformative impact on how businesses operate. From ...

Admissions for the first cohort are now open. Interested candidates can visit the programme website for details on ...

Top AI graduate programs at schools like Carnegie Mellon and Stanford are feeding a field where salaries average over $150,000—with job growth outpacing the broader market.

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...