AI 投研
AI 赛道深度、公司拆解、概念解读和周报月报。
Will AI spark a scientific renaissance — or a diffuse monoculture?
AI 摘要:Will AI spark a scientific renaissance — or a diffuse ...
Interpretability of multimodal neural networks for prediction of visual acuity in patients with branch retinal vein occlusion
AI 摘要:Interpretability of multimodal neural networks for pre...
The $400 million machine powering the future of chipmaking
AI 摘要:Jos Benschop is climbing a ladder to get to the top of...
Large reasoning models as thinking machines for medicine
本研究发表于《Nature Machine Learning》,主题为将大推理模型作为医学思考机器的相关探索,旨在梳理大...
Implementing trust in non-small cell lung cancer diagnosis with a conformalized uncertainty-aware AI framework
AI 摘要:Implementing trust in non-small cell lung cancer diagn...
SAMJ: fast image annotation on ImageJ/Fiji via segment anything model
AI 摘要:SAMJ: fast image annotation on ImageJ/Fiji via segment...
A universal deep learning framework for empowering nanopore identification by reinforcing temporal signals
AI 摘要:A universal deep learning framework for empowering nan...
Is AI ruining our skills? Early results are in — and they’re not good
AI 摘要:Is AI ruining our skills? Early results are in — and t...
Modeling visual memorability assessment with autoencoders reveals characteristics of memorable images
本研究于2026年6月17日发表于《Nature Machine Learning》,提出通过自编码器建模视觉记忆评估任...
Interpretable graph-based models on multimodal biomedical data integration: a technical review and benchmarking
AI 摘要:Interpretable graph-based models on multimodal biomedi...