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

Bernardino Romera-Paredes

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Nature|October 5, 2022
Discovering faster matrix multiplication algorithms with reinforcement learningAlhussein Fawzi, Matej Balog, Aja Huang, et al.
Nature|December 14, 2023
Mathematical discoveries from program search with large language modelsBernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, et al.
IEEE Transactions on Affective Computing|March 26, 2019
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal <i>EmoPain</i> DatasetMin S H Aung, Sebastian Kaltwang, Bernardino Romera-Paredes, et al.
Proteins|October 2, 2021
Applying and improving AlphaFold at CASP14John Jumper, Richard Evans, Alexander Pritzel, et al.
Nature|October 15, 2020
Addendum: International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature|July 15, 2021
Highly accurate protein structure prediction with AlphaFoldJohn Jumper, Richard Evans, Alexander Pritzel, et al.
Nature|July 22, 2021
Highly accurate protein structure prediction for the human proteomeKathryn Tunyasuvunakool, Jonas Adler, Zachary Wu, et al.
Nature Medicine|August 15, 2018
Clinically applicable deep learning for diagnosis and referral in retinal diseaseJeffrey De Fauw, Joseph R Ledsam, Bernardino Romera-Paredes, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Nature|October 5, 2022
Discovering faster matrix multiplication algorithms with reinforcement learningAlhussein Fawzi, Matej Balog, Aja Huang, et al.
Nature|December 14, 2023
Mathematical discoveries from program search with large language modelsBernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, et al.
IEEE Transactions on Affective Computing|March 26, 2019
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal <i>EmoPain</i> DatasetMin S H Aung, Sebastian Kaltwang, Bernardino Romera-Paredes, et al.
Proteins|October 2, 2021
Applying and improving AlphaFold at CASP14John Jumper, Richard Evans, Alexander Pritzel, et al.
Nature|October 15, 2020
Addendum: International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature|July 15, 2021
Highly accurate protein structure prediction with AlphaFoldJohn Jumper, Richard Evans, Alexander Pritzel, et al.
Nature|July 22, 2021
Highly accurate protein structure prediction for the human proteomeKathryn Tunyasuvunakool, Jonas Adler, Zachary Wu, et al.
Nature Medicine|August 15, 2018
Clinically applicable deep learning for diagnosis and referral in retinal diseaseJeffrey De Fauw, Joseph R Ledsam, Bernardino Romera-Paredes, et al.
Pageof 1