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If Computational depth was the answer what was the question?
Accelerate Computational Engineering and Robotics With NVIDIA Warp
A new computational approach that can detect ancient hominin ancestry in modern humans without requiring archaic reference genomes reveals a more complex picture of human evolution than previously imagined. Leveraging this approach, researchers report in Science that an unidentified "ghost" population contributed DNA to the ancestors of all modern humans before they dispersed out of Africa. Learn more:
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The Asia-Pacific Computational and Cognitive Neuroscience Conference (#APCCN2026#) is coming soon! 📅27–28 July 📌MD6 LT35, NUS ✅FREE registration is required Come and join us! You can check the conference schedule here: @HelenJuanZhou
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Schrödinger migrated its computational modeling platform to Google Cloud to accelerate the discovery of new therapeutics and materials. By using Compute Engine and Cloud GPUs, the company now has access to high-performance computing resources that scale up to 10,000 times its standard capacity on demand. This shift allows Schrödinger to complete complex calculations in hours rather than weeks ↓
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Foundation models are reshaping computational biology. Adapting models to a specific task is nontrivial, so to reduce the difficulty of building these workflows, @nvidia BioNeMo Recipes provide step-by-step training recipes built on familiar PyTorch, Hugging Face, and other patterns. This post walks through two case studies that show how the same parameter-efficient and readable recipe applies across biological modalities. Read the full post:
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Looking for an ArXiv endorser in Computational Linguistics ( for a new paper submission. I’m a postdoc at HEC, and this is my first ArXiv submission. I would greatly appreciate any help or connections. Please DM me if you can assist. Thank you!
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Explore the DePIN paradigm bridging off-chain computational resources with on-chain coordination. Expand to read. Join the developer community:
A new breakthrough result in computational complexity theory concerns a class of problems that crop up in everyday life: filling in a sudoku puzzle, for instance, or planning seating arrangements for a wedding.
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I tend to think (intrinsic/causal) computational functionalism is currently the most reasonable metaphysical position about consciousness. And this implies the possibility of AI consciousness. Other positions are logically possible, but I feel they are unlikely to be true.
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