Top menu
Main menu
Main Content
TAD - The Center for AI & Data Science
Tel Aviv University
Academic Units
Staff Directory
TAU Website
Search
This site
Global search
About
About Us
About the center
What we offer
The statistical consulting lab
Annual Report
Education
Education
Education Programs
Team
Research
Research
Research Lobby
Funding Opportunities
Articles
Acknowledgement
Open Positions
The Bridge
Communities
Our Communities
TAD Communities
TAD Members
News & Events
TAD Highlights
TAD Newsroom
Press Coverage
All Events
Conferences
Galleries
Contact Us
You are here
Homepage of Tel Aviv University
>
The AI and Data Science Center
>
Research
> Learning the Dynamics of Chaos and Turbulence
Main
Research
Research Lobby
Funding Opportunities
Articles
Acknowledgement
Open Positions
Learning the Dynamics of Chaos and Turbulence
Researchers: Prof. Yaron Oz (Physics and Astronomy) and Prof. Lior Wolf (Computer Science)
Tags:
AI in the Physical Sciences
Latest Researches
Researchers: Prof. Lior Wolf (Computer Science), Prof. Meir Feder (Electrical Engineering), Prof.
Deep Neural Networks for Scientific Discovery >
Researchers: Shay Zucker (Environment and Earth Sciences), Raja Giryes (Electrical Engineering)
Harnessing the Power of Deep Learning to Detect >
Researchers: Prof. Abner Soffer (Physics and Astronomy), Prof. Ran Gilad-Bachrach (Biomedical
Inclusive decay-vertex reconstruction with deep >
New Researches
Developing and Implementing an Algorithmic Toolset for Data-driven Music-Analytical Research
Developing an Acoustic Monitoring Tool for Coral Reef Health
Machine Learning of Collective Variables for Accelerating Molecular Dynamics Simulations
Identifying and Characterizing New Biomarkers for Alcohol Addiction Using Artificial Intelligence
Using Inverse Reinforcement Learning to Understand What is Being Learned in Motor Learning
Geometry-Oriented Dependence Measures
Estimating Real-World Step Length from Inertial Measurement Units Using Advanced Machine Learning Techniques
Tel Aviv University makes every effort to respect copyright. If you own copyright to the content contained
here and / or the use of such content is in your opinion infringing,
Contact us as soon as possible >>
