Event Archives
To the best of our ability, we document our meetings and communications. If you missed a workshop or speaker, look here to catch up.
(Speaker) "Applications of Deep-Learning in Drug Discovery" with Bharath Ramsundar
Bharath Ramsundar, a PhD student in Computer Science, will present his research on deep learning and other computational techniques for chemistry and medicine. Bharath received his Bachelor's degree in EECS and Mathematics from UC Berkeley and is now a part of Prof. Vijay Pande's lab at Stanford. He is the co-creator of DeepChem, which is the largest open-source toolchain that democratizes the use of deep-learning in drug discovery, materials science, quantum chemistry, and biology.
This event has no requirements, and will not be recorded.
(Ethical Workshop) Simulating Consciousness
We recommend that you read Laws of robotics and HRW military robot report by the meeting time, although we will summarize it again for you!
(Speaker) Animesh Garg on Robotic Vision
Animesh Garg, a postdoctoral researcher at Stanford, will be joining us at SAIG with a talk centered on robotic vision and learning. Animesh comes to us with an MS in Computer Science and a Ph.D. in Operations Research from U.C. Berkeley. Today, he works at the Stanford AI Lab with a focus on robotics and computer vision. Find more about Animesh on his website.
(Tech Workshop) Basic Neural Networks
Shubhang Desai, a member of our team, will be teaching basic usage of Neural Networks with Python. If you’ve never worked with AI or machine learning before, or want a refresher, this workshop is for you!
Slides
GitHub Repo
Emails
NOTE: Apologies to those interested, but the audio of this event was corrupted. We will be hosting more beginner-friendly events in the future, so don't fret!