This repository contains a refactoring of the code used in the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025). The code is designed to be modular and easy to use, allowing ...
Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Trust in the stock market is rare. Not because people don’t want to trust, but because too many have trusted the wrong voices ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.
AI Impact highlights Rivian’s autonomy strategy, hybrid AI gains in healthcare, AGI skepticism, exec moves and AI Impact ...
In a notoriously competitive market, Elf has carved a formidable position thanks to bold marketing moves. At the helm is WFA Global Marketer of the Year nominee Kory Marchisotto, who is leading with a ...
To create a safe and equitable classroom, rules must be applied consistently, and all students should be treated with equal ...
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