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:  OWASP 20th Anniversary Event

Authors: Stefan Streichsbier

2021-09-24

The presentation discusses the importance of smart automation, seamless feedback for developers, and auto-fixing and repairing of code in cybersecurity and DevOps. It also emphasizes the need for more people and talent to help secure the world and the importance of recognizing safe lists for open source software projects.

• Smart automation and work for integration are necessary to boost productivity and address cybersecurity issues
• Seamless feedback for developers and auto-fixing and repairing of code are important for efficient and effective cybersecurity and DevOps
• Recognizing safe lists for open source software projects is crucial for the community to work on and ensure the security of projects
• Embracing machine learning and AI can make jobs easier and help focus on high-impact issues