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Tag: Computing Sciences

Zenesis: A ‘ChatGPT’ for Scientific Image Analysis

Open software window of Berkeley Lab’s new Zenesis platform overlaid on magnified view of highlighted crack in surface.

Q&A: Accelerating Scientific Discovery with the Genesis Mission’s ModCon

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Q&A: Connecting Data, Computing and AI for Scientific Discovery

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API ERG Career Development Panel, May 27

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3Q4 Inder Monga: Connecting Data Networks and Building Community

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Podcast Expert Interview: ESnet’s Inder Monga on Quantum Networking

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SciData Workshop Brings Community Together to Reflect, Collaborate, and Look Ahead

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Berkeley Lab and NVIDIA Collaborate to Advance Hybrid Quantum–Classical Computing

Berkeley Lab’s QubiC (Quantum bit Controller) at AQT with NVIDIA DGX Spark and NVIDIA NVQLink

Making Science Seamless: A Q&A with UXR Lead Drew Paine

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Application Open for Lab's Deep Learning for Science School

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Register for the STRUDEL Contributor Workshop

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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.

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