Startup Hyperscale Power is developing technology that promises to shrink power transformers, freeing up precious space within data centers.

Explore structured finite-element methodologies for analyzing transformer behavior under harmonic and transient conditions — covering modelling, solver configuration, and result validation techniques.

Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...

In their Research review article, “Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical ...

Over the past six years, artificial intelligence has been significantly influenced by 12 foundational research papers. One ...

Artificial Intelligence is no longer a niche field limited to computer science labs. From search engines and recommendation ...

Overview PyTorch courses focus strongly on real-world Deep Learning projects and production skills.Transformer models and NLP training are now core parts of mos ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

Science fiction promised us humanoids. Do we even want them?

Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of ...