Description
The 9th Annual Simons Institute Industry Day will be Thursday, November 2, 2023, at 9:30 a.m. PST in Calvin Lab Auditorium.
The goal of the day is to facilitate exchange and collaboration between the Institute’s Industry Partners and graduate students, postdoctoral research fellows, and senior researchers at the Institute and across the Berkeley campus.
Participation is open to the Simons Institute's Industry Partners and Sponsors, organizers, research fellows and scientists in Institute programs, and members of the Berkeley community.
Learn more about our Industry Partnerships program here, or contact Senior Development Director Amy Ambrose for further information at amyambrose@berkeley.edu or +1 510 944 6674.
SCHEDULE
Thursday, November 2, 2023
Schedule subject to change
The event booklet is here: Agenda, Abstracts, Speaker Bios for Industry Day 2023
| 9:30 – 10:00 am | Coffee and Check-In | |
| 10:00 – 11:00 am | Introduction and Program Highlights LLMs and Transformers: Umesh Vazirani Logic and Algorithms In Database Theory and AI: Hung Ngo Data Structures and Optimization for Fast Algorithms: Aaron Sidford Error-Correcting Codes: Theory and Practice: Venkat Guruswami Quantum Algorithms, Complexity, and Fault Tolerance: Sandy Irani Sublinear Algorithms: Jelani Nelson Modern Paradigms in Generalization: Matus Telgarsky Cryptography 10 Years Later: Obfuscation, Proof Systems, and Secure Computation: Abhishek Jain | |
| 11:00 – 11:15 am | Networking Break | |
| 11:15 am - 12:30 pm | Unique Challenges and Opportunities in Working with Residential Real Estate Data, Takamitsu Tanaka, Head of Data and AI, Managing Director, Roc360 Lemur: Integrating Large Language Models in Automated Program Introducing RelationalAI, Molham Aref, CEO, RelationalAI Can Transformers Learn Algorithms? Mechanisms of Length Generalization, Preetum Nakkiran, Research Scientist, Apple Market Algorithms for Autobidding, Gagan Aggarwal, Research Scientist, Google | |
| 12:30 – 2:00 pm | Lunch | |
| 2:00 – 3:00 pm | Lightning Talks by Research Fellows Vertex Connectivity in Poly-logarithmic Max-flows, Sorrachai Yingchareonthawornchai Join Algorithms Meet New Constraints: Scalability, Latency and Privacy, Xiao Hu Relational Programming, Remy Wang Probabilistic Reasoning and Learning for Trustworthy AI, YooJung Choi Non-monotonic convergence of gradient descent with large stepsize, Jingfeng Wu How Close is Close Enough? Solving Linear Programs When Rounding Just Won't Cut It! Bento Natura How looking at a problem quantumly could solve it faster? Hamoon Mousavi Decoding the Maze: New Frontiers in Achieving Nash Equilibrium in AI Architectures, Manolis Vlatakis Gkaragkounis From Robustness to Privacy and Back, Lydia Zakynthinou | |
| 3:00 – 3:15 pm | Break | |
| 3:15 pm | Special Sessions | |
3:15 – 4:30 pm
10min break
4:40 - 5:30 pm | Wellbeing, AI, and You: Developing AI-based Technology to Enhance our Wellbeing, Alon Halevy, Director, Facebook AI, Meta Theory matters: how to build a successful company by trusting theoreticians, Molham Aref, CEO, RelationalAI DBSP: A unified (practical) theory of databases, streams, and incremental computation, Mihai Budiu, Chief Scientist/Co-Founder/Leonid Ryzhyk, CTO/Co-Founder, Feldera
Challenges in Research on Practical Algorithms, Andrew Goldberg, Scientist The Data Science behind Cruise’s Robotaxi Fleet, Or Cohen, Senior Staff Data Scientist, Cruise | |
| 5:30 pm | Closing | |
| 5:30 – 6:00 pm | Pre-Dinner Reception at Faculty Club | |
| 6:00 pm | Dinner at Faculty Club |
YouTube Video
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