Women Leading Visual Tech Live with Jane X. Wang, DeepMind
Can Meta-Learning Unlock the Magic of AI?
March 18, 2021, 11:00 AM - 12:00 PM ET
Online Event
Can meta-learning unlock the magic of AI? Tune in to see Dr. Jane X. Wang, Senior Research Scientist at DeepMind, breakdown how and where meta-learning will generate opportunities for business & society.
Jane’s background is in computational and cognitive neuroscience, complex systems, and physics. She is interested in applying neuroscience principles to inspire new algorithms for artificial intelligence and machine learning. Jane’s recent work focuses on reinforcement learning and meta-learning with fantastic successes, such as the recent release of Alchemy. She imagines that the most powerful AI models of the future will be indistinguishable from magic.
Jane will dive deep into the strengths, weaknesses, opportunities and threats associated with meta-learning in the visual tech space.
When we say “join us” we seriously mean it - we want this to be an open conversation and connection opportunity for women and other underrepresented researchers, entrepreneurs and investors in the visual tech space. At LDV Capital, we believe in the power of people and community to improve our world. Some of the big questions we will look to tackle together:
(c) Jane X Wang
How should we define meta-learning?
Is it really that much different than today’s machine learning (ML)?
Why should we be thinking about it right now?
How is it going to shape our future?
Why should we be deploying it for our computer vision & ML applications?
How can we take it out of academia & into real-world applications?
What are the biggest business opportunities associated with it?
Is it going to make AI, “magic”?
A year ago, we started our Women Leading Visual Tech interview series to showcase the leading women whose work in visual tech is reshaping business and society. We highlight CEOs, Professors, Entrepreneurs, Scientists, Investors, and more. Our goal is to foster a community of women in visual tech by providing them with inspiration and support.
This is our first live event for WLVT and while we would love to welcome everyone who is interested, in order to make it a powerful, interactive event for our community, we have a limited number of spots available. Attending is free but you need to apply here and let us know why you want to be a part of this event & community:
Who Should Attend:
Women and individuals of underrepresented genders who are working with visual technologies either as an entrepreneur, CEO, investor, academic researcher, engineer, CTO, or student.
You do NOT need to have a background in reinforcement learning or meta-learning.
You should have a deep-seated interest in helping others succeed and a desire to connect with others in the visual tech community to share knowledge, perspective, resources, and more.
You should be kind, open-minded, and ready to speak up in discussions about the future of business & society through the lens of technological advancements.
About Our Guest: Dr. Jane X. Wang is a senior research scientist at DeepMind, an artificial intelligence research laboratory founded in September 2010 and acquired by Google in 2014 for $500M.
Jane’s background is in computational and cognitive neuroscience, complex systems, and physics. She is interested in applying neuroscience principles to inspire new algorithms for artificial intelligence and machine learning. In simple terms, the idea is to apply principles of brain function and cognition to help machines learn better.
Jane X. Wang received a Ph.D. in Applied Physics from the University of Michigan in 2010. She is one of the UK’s rising stars in cutting-edge artificial intelligence research.
About DeepMind: DeepMind's mission is to "solve intelligence" and then use intelligence "to solve everything else". The company has created a neural network that learns from experience, using only raw pixels as data input. For example, it learns how to play video games in a fashion similar to that of humans, as well as a Neural Turing machine. DeepMind’s neural network may be able to access an external memory like a conventional Turing machine, resulting in a computer that mimics the short-term memory of the human brain.
In 2017 DeepMind released GridWorld, an open-source testbed for evaluating whether an algorithm learns to disable its kill switch or otherwise exhibits certain undesirable behaviors.
In July 2018, researchers from DeepMind trained one of its systems to play the computer game Quake III Arena.
DeepMind has published over a thousand papers, some of which appeared in Nature, and Science.
Agenda
11:00 - 11:40 AM - Live interview with continuous Q&A
11:40 - 11:55 AM - Discussion groups
11:55 - 12:00 PM - Closing
This interview will be published on our blog at a later date but if you join live, you'll get to participate in the interview, ask Jane your burning questions and build your network with our exceptional community – the women leading visual tech.
Discussion Leaders
Esther Dyson
Wellville, Executive Founder
Sowmiya Chocka Narayanan
Lily AI, Co-Founder & CTO
Rosanna Myers
Software Engineer & Roboticist
Dr. Sujatha Ramanujan
Luminate, Managing Director
Dr. Mackenzie Mathis
Adaptive Motor Control Lab, Founder
Meryl Breidbart
LDV Capital, Former Associate
Dr. Gaile Gordon
Computer Vision Expert
Sold TYZX -> Intel
Dr. Fiona Hua
Sea Machines Robotics
Perception & Data Manager
Tate Ryan-Mosley
MIT Technology Review
Data and Audio Reporter
Dareen Salama
Gryps, CEO & Co-Founder