High-entropy alloys (HEAs) are rewriting the rules of materials science, and machine learning is accelerating their design. By predicting phase stability and performance from large datasets, ...

From atomic-scale imaging to machine learning predictions, AI is revolutionizing how scientists design and optimize high-entropy alloys. These materials, prized for their strength and resilience, are ...

Teachers have been fighting plagiarism since the dawn of time (since homework), but 2024-2026 has been a different story.

Prompt engineering keeps adding new techniques. One is the String Seed-of-Thought (SSoT) that aids options-choosing, game ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by ...

Scientists have used the power of AI to analyze and predict the conversion of liquid radioactive waste into solid glass waste ...

From wearable technology to industrial heat recovery, thermoelectric generators which convert waste heat into electricity ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

Veeam Backup & Replication (VBR) continues to set the pace in enterprise data resilience. With v13 having landed in November ...