Categories: AI/ML News

Magnetic materials discovered by AI could reduce rare earth dependence

Researchers at the University of New Hampshire have harnessed artificial intelligence to accelerate the discovery of new functional magnetic materials, creating a searchable database of 67,573 magnetic materials, including 25 previously unrecognized compounds that remain magnetic even at high temperatures.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

pgvector vs. Dedicated Vector Databases: A Production Benchmark

Run this on a typical laptop and both systems will report latencies in the low…

11 hours ago

Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch

Most large language models (LLMs) use transformer architectures with softmax attention. During inference, their key-value…

11 hours ago

Claude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity

Whether you are iterating on a quick bug fix or planning a complex migration, different…

11 hours ago

A New Rocco Smart Fridge Just Dropped. So Did the Prices (2026)

Save $100 on the new Essential or $200 on the original, and give your holiday…

12 hours ago

Brain-inspired randomness makes artificial vision more reliable

Humans are usually remarkably good at recognizing objects, even under poor conditions. Artificial vision systems,…

12 hours ago

Descriptors and Controlled Attributes in Python

In this article, you will learn what Python descriptors are and how to use them…

1 day ago