Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Nature machine intelligence

Showing results (1-10 of 148) with videos related to

Pageof 15
Sort By:
Nature Machine Intelligence|October 22, 2020
Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulationJames W Martin, Bruno Scaglioni, Joseph C Norton, et al.
Nature Machine Intelligence|June 14, 2021
Finding key players in complex networks through deep reinforcement learningChangjun Fan, Li Zeng, Yizhou Sun, et al.
Nature Machine Intelligence|July 11, 2022
Neurons learn by predicting future activityArtur Luczak, Bruce L McNaughton, Yoshimasa Kubo
Nature Machine Intelligence|April 24, 2025
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modellingJames Lu, Brendan Bender, Jin Y Jin, et al.
Nature Machine Intelligence|February 2, 2026
Assessing the potential of deep learning for protein-ligand dockingAlex Morehead, Nabin Giri, Jian Liu, et al.
Nature Machine Intelligence|May 6, 2020
Prediction of drug combination effects with a minimal set of experimentsAleksandr Ianevski, Anil K Giri, Prson Gautam, et al.
Nature Machine Intelligence|September 24, 2020
Gaussian Embedding for Large-scale Gene Set AnalysisSheng Wang, Emily R Flynn, Russ B Altman
Nature Machine Intelligence|October 24, 2022
Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeuticsDaniel R Wong, Jay Conrad, Noah Johnson, et al.
Nature Machine Intelligence|February 21, 2022
A Deep Generative Model for Molecule Optimization via One Fragment ModificationZiqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, et al.
Nature Machine Intelligence|October 4, 2021
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networksSamik Banerjee, Lucas Magee, Dingkang Wang, et al.
Pageof 15

Showing results (1-10 of 148) with videos related to

Sort By:
Pageof 15
Nature Machine Intelligence|October 22, 2020
Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulationJames W Martin, Bruno Scaglioni, Joseph C Norton, et al.
Nature Machine Intelligence|June 14, 2021
Finding key players in complex networks through deep reinforcement learningChangjun Fan, Li Zeng, Yizhou Sun, et al.
Nature Machine Intelligence|July 11, 2022
Neurons learn by predicting future activityArtur Luczak, Bruce L McNaughton, Yoshimasa Kubo
Nature Machine Intelligence|April 24, 2025
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modellingJames Lu, Brendan Bender, Jin Y Jin, et al.
Nature Machine Intelligence|February 2, 2026
Assessing the potential of deep learning for protein-ligand dockingAlex Morehead, Nabin Giri, Jian Liu, et al.
Nature Machine Intelligence|May 6, 2020
Prediction of drug combination effects with a minimal set of experimentsAleksandr Ianevski, Anil K Giri, Prson Gautam, et al.
Nature Machine Intelligence|September 24, 2020
Gaussian Embedding for Large-scale Gene Set AnalysisSheng Wang, Emily R Flynn, Russ B Altman
Nature Machine Intelligence|October 24, 2022
Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeuticsDaniel R Wong, Jay Conrad, Noah Johnson, et al.
Nature Machine Intelligence|February 21, 2022
A Deep Generative Model for Molecule Optimization via One Fragment ModificationZiqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, et al.
Nature Machine Intelligence|October 4, 2021
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networksSamik Banerjee, Lucas Magee, Dingkang Wang, et al.
Pageof 15