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…View arXiv page View PDF GitHub 127 Add to collection Community Al for Science has produced powerful models for proteins, molecules, materials, reactions, and other scientific objects. Every new task often requires…
…six optimization regimes (stencils, all-pairs in n-body problems, multi-field Boltzmann, neighbor-list molecular dynamics, multi-kernel PDE, FFT). Each task ships a CPU reference, a roofline-anchored fitness function…
…Every Layer Knows the Token Beneath the Context (2026) Augmenting Molecular Language Models with Local $n$-gram Memory (2026) Lngram: N-gram Conditional Memory in Latent Space (2026) Parallel Causal Associative Fields…
…Structural Latent Points for Efficient Visual Representations in Robotic Manipulation (2026) Smoothing Dark Areas in Molecular Latent Diffusion (2026) Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and…
…Across domains including molecular discovery, equation discovery, and algorithm discovery, our approach consistently improves both hypothesis quality and diversity under the same validation budget , and produces candidates that remain robust under more…
…Life-Sciences Knowledge Layer for AI Agents Published on Jul 30 Submitted by Luigi Sigillo on Aug 3 European Molecular Biology Laboratory Authors: Luigi Sigillo , , Francesco Tabaro , , , , , , , , , Abstract A knowledge layer called…
…A Quantum Approach to Molecular Excitations (2026) SpinGQE: A Generative Quantum Eigensolver for Spin Hamiltonians (2026) The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery…
…AI-assisted spatial molecular imaging analysis via code-augmented agent action space Get this paper in your agent: hf papers read 2606.13673 Don't have the latest CLI? curl -LsSf https…
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