At Berkeley, we bring together diverse perspectives on Artificial Intelligence (AI) and Machine Learning (ML) from experts in academia and industry to bridge the gap between technical study and global reality.

 

We seek to break past the clichés and technical details and help all people to start thinking about AI/ML in a more comprehensive, nuanced, and thoughtful way, preparing effective and responsible future leaders. We also intend for this to be a useful networking platform for interaction between students and professionals. This event will consist of multiple speakers with diverse backgrounds in AI/ML as well as opportunities for attendees to speak with representatives from AI-based companies from startups to major tech firms.

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Theme: AI Everywhere - The Democratization of AI

AI is no longer a mystical technology only reserved for the academics. AI is being integrated into more and more products we use in our everyday life. From recommendation systems to conversational AI, we aim to explore how AI has evolved over time and how it's become an essential part of our lives.

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Schedule

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9:00 AM - Check-in

9:30 AM - Prof. Sergey Levine, UC Berkeley - Offline Reinforcement Learning

10:00 AM -Vinodh Kumar Sunkara, Meta - Importance of Label Quality for ML/AI Systems

10:30 AM - Daliana Liu, Predibase - The Future of Low-code ML and Declarative ML

11:00 AM - Arijit Sengupta, Aible - Impact from AI in 30 days + Hackathon Announcement

11:30 AM - Nikhil Garg, Fennel AI - Seven reasons why realtime ML is here to stay

12:00 PM - Lunch & Networking

1:00 PM - Doris Lee, Ponder - Scalable AI/ML Development for All

1:30 PM - Sonu Durgia, Meta - Building AI Responsibly

2:00 PM - Panel on Entrepreneurship in AI

3:00 PM - Michele Catasta, Google - AI Meets Source Code: Status Quo and Outlooks

3:45 PM onwards - Networking hour (refreshments provided)

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