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Lectures And Thought Leadership

Courses By R42 Personnel

R42 INSTITUTE HOSTED PROGRAMS

AI & Longevity Investment Landscape

 The sessions are intended to be educational though some of the presenters may mention how their companies play in their industry. The expectation is there will be time and room for questions and discussion.

Perkins Coie, Palo Alto 

October 27, 9:00 AM - 5:00PM

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R42 INSTITUTE HOSTED PROGRAMS

These webinars will feature masterclass lecturers who are leaders in the longevity space. This will be a highly curated set of talks, in masterclass format, starting from basics and going to cutting edge theories.

Online

5th Series: 9 Feb - 4 May 2022; Come back here for the next series.

R42 Institute Longevity Series

 

R42 INSTITUTE HOSTED PROGRAMS

R42 Institute AI Fellows Program

R42 Institute is running an AI Fellowship Program. A launchpad for deep technology and science disruptors, the Fellowship is designed to develop AI/machine learning, deep science, design thinking and entrepreneurial skills of emerging talent.

Online

Rolling Start Dates

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R42 INSTITUTE HOSTED PROGRAMS

R42 will bring your ideas to life. We want to look at the very earliest stage of ideas, likely when there are only one or two founders, no prototype. This is not an accelerator - we want to jump in and help found the company with you.

Online

Rolling Start Dates

R42 Institute Founders Program

 
 
 

ACADEMIC ENGAGEMENTS

An Introduction to Artificial Intelligence and Beyond  (Stanford University Continuing Studies)
October 1 - November 2, 2022

Artificial intelligence (AI) is inspired by our understanding of how the human brain learns and processes information and has given rise to powerful techniques known as neural networks and deep learning. This course will begin with an introductory overview of these AI techniques. We then will inspect what is beyond deep learning and real-world applications of neural networks, as well as implications to society as people participate in a human-centered AI world. Through hands-on exercises, we will discover how current AI platforms compare with how the brain works, how systems actually “learn,” and how to build and apply neural networks. By the end of the course, students will have a greater understanding of neural networks and deep learning so they can (1) converse with neural network practitioners and companies; (2) critically evaluate AI news stories and technologies; and (3) consider what the future of AI can hold and what barriers need to be overcome.

This introductory course is open to students of all levels. No computer science or programming experience is needed, but an understanding of simple algebra is expected.

Ronjon Nag
Adjunct Professor in Genetics, Stanford School of Medicine; Visiting Fellow, Stanford Center for Study of Language and Information; President, R42 Group

Ronjon Nag has invented AI systems for three decades. He has started companies sold to Motorola, BlackBerry, and Apple. In 2016, he became a Stanford Interdisciplinary Distinguished Careers Institute Fellow. He received a PhD in engineering from Cambridge. He won the IET Mountbatten Medal, the $1M Verizon Prize for Bounce Imaging, and the 2021 IEEE-SCV Outstanding Engineer Award.

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Online

October 1 - November 2, 2022