Conference:  Transform X 2022

Authors: Pieter Abbeel

2022-10-19

Pieter Abbeel wears many hats: Professor at UC Berkeley, Director of the Berkeley Robot Learning Lab, Founder of three companies, podcast host, and investor. The common thread is that Professor Abbeel is passionate about AI and robotics. In this keynote presentation, he explores the possibility of training a large neural network to enable faster learning in robotics. Professor Abbeel discusses his lab’s approach to solving this problem and will cover how video prediction is an excellent proxy for generalizable robots, the relevant models and datasets useful for pre-training, how unsupervised learning can help robots learn from themselves; and the usefulness of a human-in-the-loop. He describes a four-step framework that might be able to lead, ultimately, to generalized robotics. Professor Abbeel is co-director of the Berkeley Artificial Intelligence (BAIR) Lab and founded Gradescope, which provides AI to help instructors with grading homework and exams, and Covariant, which provides AI for robotic automation of warehouses and factories. He is also a founding partner at AIX Ventures, a venture capital firm focused on AI start-ups, and is the host of The Robot Brains podcast, which explores what AI and robotics can do today and where they are headed.

Conference:  Transform X 2022

Authors: Michael I. Jordan

2022-10-19

The speaker discusses the importance of incorporating economic principles into machine learning systems to build large-scale, economically sound structures that benefit society.

• Rey is a platform that combines functional programming and object-oriented programming to create a model of distributed asynchronous computing.
• The speaker believes that AI and machine learning have been missing the boat by neglecting the importance of market intelligence.
• Building multi-way markets, exploring to learn preferences, and uncertainty quantification are some of the open academic problems in this field.
• Fairness, privacy, and social good are important considerations that have an economic side to them.
• The speaker provides an anecdote about UnitedMasters, a company that created a two-way market for musicians to stream their music to the NBA and get paid for it.
• The overall goal is to build large-scale systems that are healthy, happy, and economically efficient.