Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

UiPath's robust AI-driven automation platform, strong earnings beats, and 16% YoY revenue growth highlight its upward trajectory. Read why PATH stock is a strong buy.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

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 ...

AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Learn what a private compute services app is, how it works on Android, and how it protects user data while enabling AI features through secure, privacy-preserving updates.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...