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The AI and Data Science Center
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Research
> Deep Learning Based Technology for Managing the Secondary Treatment Process in Wastewater Treatment Plants
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Deep Learning Based Technology for Managing the Secondary Treatment Process in Wastewater Treatment Plants
Researcher:
Prof. Dror Avisar (Porter School for Enviromental and Earth Sciences)
Tags:
Sustainability
Environment
Researcher: Prof. Dror Avisar (Porter School for Enviromental and Earth Sciences)
Latest Researches
Researchers: Prof. Noa Shenkar (Zoology) and Prof. Tal Pupko (Shmunis School of Biomedicine and
Harnessing AI for Development of Novel >
Researchers: Prof. Sivan Toledo (Computer Science), Dr. Orr Spiegel (Life Sciences)
Applying Data Science Approaches for Processing >
Researchers: Prof. Shai Izraeli (Schneider Children's Medical Center) and Prof. Yuval Ebenstein
A Personalized Approach for Childhood Cancer: >
New Researches
Promoting Women in AI: TAD and Meduyakot Joint Event
Re: Empathy - A New Exhibition at the TAU Genia Schreiber Art Gallery
BITS of AI: New Program for Youth in the Periphery to Study Artificial Intelligence, Led by TAD
AI and Data Science Symposium Highlights Innovations in Sustainability and Education
Announcing the awardees of the "Barel travel scholarships" by The Center for AI and Data Science (TAD)
Addressing AI Social Risks Workshop
Discussing Challenging Questions in Deep Learning Theory at TAD 2024 Retreat
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