This new AI model thinks in images, not just words

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.
IEEE

Large-Scale EMT Model Examples for High-Share IBR Systems: Using Large-Scale EMT Models for Operations and Planning Power Systems With a High Share of IBRs [Feature]

Abstract: The use of electromagnetic-transient (EMT) models to study the behavior of power systems with high share of inverter-based resource (IBR) systems has become increasingly vital to ensure ...
GitHub

DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

DP-GEN (Deep Potential GENerator) is a software written in Python, delicately designed to generate a deep learning based model of interatomic potential energy and force field. DP-GEN is dependent on ...
Nature

Non-model organisms articles from across Nature Portfolio

Non-model organisms are organisms that have not been selected by the research community for extensive study either for historic reasons, or because they lack the features that make model organisms ...

How Shopify built an AI stack that doesn't care which models survive

Shopify built an LLM proxy and distillation pipeline so its engineers keep working when any model goes away — and often get better results from smaller tuned models.
IEEE

Focus on Hard Categories and Hard Examples: Remote Sensing Image Scene Classification via Expert Model and Hard Example Mining

Abstract: Deep learning has seen dramatic improvements in remote-sensing image scene classification. However, hard categories and hard examples widely exist in the data sets, due to the intraclass ...