The 'Algorithm Master,' computer science focuses on complexity analysis and theoretical design. Top colleges per NIRF 2025 ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Biometric technologies, including face and fingerprint recognition, also strengthen identity verification and reduce exposure ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...

So, you’ve heard about quantum computers, right? They sound like something out of a sci-fi movie, but they’re becoming more ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Telling ChatGPT to fact-check a random answer before solving an actual problem makes it think harder, and get the answer right more often – even if the earlier 'random' answer has nothing to do with ...

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study ...

A new semiconductor chip fabricates miniature lenses on the chip to perform calculations using light instead of electricity, greatly increasing the power efficiency and reducing the computational run ...