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Shape Up and Take a Leap of Faith:
Tips for a Successful Transition From Academia to Data Science in Industry
Realizing AI Potential in Healthcare – Challenges & Solutions
iOS 14.5 Era – new challenges requires creative solutions
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Practical Solutions & Theoretical Dreams
First of Her Name – Being the First Data Scientist in Your Company
Helping Users Use AI-based Products: UX for Research
Natural Innovation
or
To Innovate or Not Be
| 8:45 | Reception |
|---|---|
| 9:30 | Opening words by WiDS TLV ambassadors Or Basson and Noah Eyal Altman |
| 9:40 | Dr. Kira Radinski - Learning to predict the future of healthcare |
| 10:10 | Prof. Yonina Eldar - Model-Based Deep Learning: Applications to Imaging and Communications |
| 10:40 | Break |
| 10:50 | Lightning talks |
| 12:20 | Lunch & Poster session |
|---|---|
| 13:20 | Roundtable session & Poster session |
| 14:05 | Roundtable closure |
| 14:20 | Break |
| 14:30 | Dr. Anna Levant - 3D Metrology: Seeing the Unseen |
| 15:00 | Aviv Ben-Arie - Counterfactual Explanations: The Future of Explainable AI? |
| 15:30 | Closing remarks |
| 15:40 | End |
| 12:30 | Lunch & Poster session |
|---|---|
| Adi Watzman - Nobody is Perfect – How Do We Debug ML Models? | |
| 14:30 | Roundtable closure |
| 14:45 | Gal Yona - How Fair Can We Be |
| 15:15 | Daphna Weissglas - Turning Data Science Into Precision Medicine Empowering Millions |
| 15:45 | Closing remarks |
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Scotty – By Nir Azoulay
Design: Sharon Geva
