Abstract: Few-shot class-incremental learning (FSCIL) aims to develop models that can continually learn novel classes from only a few training samples while retaining knowledge of previously learned ...

Recent advances in Visual-Language-Action (VLA) models have shown promising potential for robotic manipulation tasks. However, real-world robotic tasks often involve long-horizon, multi-step ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a University of Michigan Engineering and Université Paris-Saclay study published in ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

How some of the world’s most precise clocks missed a very small beat. By Mike Ives and Adeel Hassan Time appeared to skip a beat last week when some of the world’s most accurate clocks were affected ...

The IAEA has released a new e-learning course to help medical imaging specialists, oncologists and policymakers use a diagnostic tool that combines positron emission tomography and computed tomography ...

The new Oak Ridge Conference Center and the Recreation Center gym became the site Wednesday for the Atomic Education Summit, where hundreds of Oak Ridge students visited for a a day of interactive ...

Recent years have seen a huge shift to online services. By necessity, remote jobs have skyrocketed, and the tech industry has ballooned. According to the Bureau of Labor Statistics, software developer ...

Molecular models are an invaluable learning aid for developing the representation literacy and visuospatial thinking skills needed for success in organic chemistry. Sadly, space-filling models are no ...

A beautiful web application showcasing state-of-the-art deep learning models for STEM (Scanning Transmission Electron Microscopy) image analysis. AtomPRISM_Showcase/ ├── app.py # Main application ...