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Tag: Computing Sciences

Lab Researchers Evaluate Generative AI Models for Filling Scientific Imaging Gaps

A comparative infographic showcasing the results of three different generative AI models in creating scientific images.

AI at Berkeley Lab: the Past, the Present, and the Future

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Berkeley Lab Showcases Machine Learning Expertise at NeurIPS 2025

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Lab’s Teams Win 2025 HPCwire Awards

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New Lab and NVIDIA Partnership Integrates Quantum and AI Supercomputing for Next-Generation Research

Two researchers working on electronics of research device.

Desert Landscape Emerges from Silicon to Win NanoArt Competition

cross-section of a silicon substrate, forming a striking pattern during the cleaving process

Applications Open for 2026 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowships

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Register for Workshop on Building Scientific UIs with STRUDEL and AI Assistants

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Science IT Publishes Article on Few-Shot Learning, Presented at PEARC ‘25

White words on teal background reading "Exploring Few-Shot Learning: FIne-Tuning vs. In-Context Learning and Parameter-Efficient Adaptations" with black Berkeley Lab and Science IT logos.

John Shalf Recognized as an HPCwire Class of 2025 Legend

Composite graphic of person with words "John Shalf" and a blue and white logo reading "HPCWire 35 Legends".

Berkeley Researchers Advance Fluid Flow Modeling for Better Energy Production

A simulation of fluid flow through fractures in a rectangular shaped mineral sample.

Meet Wei Feinstein: Driving Progress and Change in High Performance Computing

Composite image: a circular photo of Wei Feinstein against a teal background, with the words 3Q4 Wei Feinstein on the left

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