Summary
A new paper introduces ANTIC (Adaptive Neural Temporal In-situ Compressor) to tackle the massive data storage challenge posed by high-resolution, spatiotemporally evolving fields from large-scale scientific simulations. These simulations, common in areas like plasma physics and black hole mergers, generate petabyte-to-exabyte scale data that overwhelms current high-performance computing infrastructures. ANTIC aims to alleviate this bottleneck by providing an adaptive neural compression solution.
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[Paper] Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning
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