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

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

An AI-integrated infrastructure framework embeds real-time diagnostics, reinforcement learning, and multi-agent coordination into distributed data platforms. Validated in production, it reduces ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

On February 13, 2026, OpenAI performed a digital execution. The victim was GPT-4o, a model that, since its debut in May 2024, had become the most successful "growth engine" in the history of the ...

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

We are looking for candidates for 3-month summer jobs as research assistant in the Intelligent Robotics group at Aalto University (up to 4 positions).

These 4 critical AI vulnerabilities are being exploited faster than defenders can respond ...

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.

Cybersecurity organizations are facing a widening gap between the speed of modern cyberattacks and the tools designed to prevent them. A new academic review finds that artificial intelligence (AI) is ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...