Deep Neural Networks for Scientific Discovery
Researchers: Prof. Lior Wolf (Computer Science), Prof. Meir Feder (Electrical Engineering), Prof. Raja Giryes (Electrical Engineering), Prof. Haim Suchowski (Physics and Astronomy), Prof. Pablo Blinder (Neurobiology, Biochemistry & Biophysics), Prof. Nir Ben Tal (Neurobiology, Biochemistry & Biophysics), Prof. Yossi Yovel (Zoology), Prof. Miguel Weil (Shmunis School of Biomedicine and Cancer Research)
AI has the potential to revolutionize scientific research. Indeed, collaborations between data-scientists and researchers across the TAU campus have already resulted in unique AI-driven discoveries.
The aim of this project was to devise a comprehensive methodology for using deep-learning within all aspects of scientific and engineering research (e.g., simulations, inverse models, and interpretability).
The resulting methods will be applied to research at TAU.
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