Exploring Petabytes of the Night Sky — Jupyter Notebooks at NOIRLab’s Astro Data Lab Science PlatformBy Robert Nikutta & Stéphanie Juneau (NSF NOIRLab)Imagine querying 420+ billion rows of...

In today’s hyper-competitive landscape, "speed to insight" is no longer the finish...

Berkeley Institute for Data Science (BIDS) joins the mybinder.org federation in partnership with 2i2cThe Berkeley Institute for Data Science (BIDS) is the birthplace of the current iteration of...

Part 3 of the “User Psychology Series.” Every abandoned onboarding, every half-filled form, every stalled payment, every broken journey ultimately ends in a single question: why did the user drop...

🔬 Automating Science: World Models, Scientific Taste, Agent Loops - Andrew White

清华大学的研究表明，AI虽然能加速论文发表，但也导致科学探索的广度收缩。AI模型缺乏通用性，使研究者更集中于热门领域，从而削弱了创新能力。为此，推出了跨学科科研智能体系统OmniScientist，以提升科研效率和广度。

清华大学团队研发的DrugCLIP平台实现基因组级药物虚拟筛选，24小时内完成10万亿次计算，显著提升药物筛选效率。该平台成功筛选出抑郁症和癌症等疾病的潜在药物分子，首次覆盖人类基因组规模，推动新药发现。

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中国“人造太阳”研究取得新突破，成功进入“密度自由区”，打破了长期存在的密度极限，为聚变点火提供新路径。研究验证了边界等离子体与壁的相互作用理论模型，揭示了密度极限与物理机制的深层关系，未来聚变堆有望实现高密度稳态运行。

最新研究发现，少年天才成年后往往难以达到顶尖水平，近90%与成年顶尖人才不同。早期表现与最终成就呈负相关，多样化的跨领域实践更有助于成就。

Increasingly, the most interesting AI work is happening inside traditional, data-rich businesses that don't look anything like Big Tech.

Paradigm Shift: Revolutionary quantum computing breakth […]