Smartphone Seismology; Histamine Neurology – May 27
Wonderfest Science Envoys are early-career researchers with special communication skills and aspirations. Following short talks on provocative modern science topics, these two Science Envoys will answer questions with insight and enthusiasm:
• UC Berkeley seismologist Savvas Marcou on Smartphones Map Ground Shaking in Our Neighborhoods — California is earthquake country. Everyone would love to know how much shaking the next temblor will deliver to their neighborhood. Fortunately, the humble smartphone, available in everyone’s pockets, can record and map ground shaking patterns in unprecedented resolution, and may transform how we think about the next big earthquake.
• Stanford neuroscientist Ashley Moses on Rethinking Histamine: From Molecule to Motivation — Though primarily known for its role in allergies, histamine influences cognition, mood, and sleep, as well. In fact, this understudied molecule is indispensable for brain health. By studying histamine’s role in motivated behaviors, we can uncover groundbreaking insights into neurological problems like depression, Parkinson’s Disease, and stress disorders.
This interactive science presentation, free and unticketed, is produced by Wonderfest in partnership with Marin Science Seminar.
Marin Science Seminar [https://marinscienceseminar.com]
AI Memorization?; Frog Secrets – May 13
Wonderfest Science Envoys are early-career researchers with special communication skills and aspirations. Following short talks on provocative modern science topics, these two Science Envoys will answer questions with insight and enthusiasm:
• Stanford computer scientist Nicole Meister on Has ChatGPT Memorized the Internet? — Large Language Models (LLMs), such as ChatGPT, have recently gained widespread popularity. Trained on vast amounts of internet data, these AI models raise important questions about the nature of their responses: are they truly synthesized or simply memorized? Researchers can statistically evaluate this claim to reveal test set contamination in LLMs.
• Stanford biologist Jenni Serrano Rojas on Unraveling Frogs’ Secrets for Conservation — Biotelemetry tools are revolutionizing our study of animals, from the largest to the tiniest species. They reveal hidden animal interactions, critical living spaces, and essential resources. In poison frogs, in particular, biotelemetry affords insights that inform conservation strategies and help the species to respond to global change.
This interactive science presentation, free and unticketed, is produced by Wonderfest in partnership with Marin Science Seminar.
Marin Science Seminar [https://marinscienceseminar.com]
The Thinking Game – Mar 23
2024’s The Thinking Game takes us on a fascinating journey into the heart of DeepMind, one of Earth’s leading AI labs, as it strives to unravel the mysteries of artificial general intelligence (AGI). Inside DeepMind’s London headquarters, Nobel laureate Demis Hassabis and his team are pursuing the creation of AI that matches or surpasses human abilities on a wide range of tasks. Filmed over five years, the documentary puts viewers in the room for the pivotal moments of this quest, including the groundbreaking achievement of AlphaFold, a program that solved a 50-year grand challenge in biology. Immediately after The Thinking Game‘s screening, expert Peter Norvig will answer our AI questions.
Dr. Peter Norvig is a Fellow at Stanford’s Institute for Human-Centered Artificial Intelligence. He is Director of Research at Google, and he co-authored the most popular AI textbook, Artificial Intelligence: A Modern Approach, used in more than 1,500 universities in 135 countries.
Dr. Peter Norvig
Cameo Cinema [https://www.cameocinema.com]
Verifying AI; Ultracold Atoms – Apr 16
Wonderfest Science Envoys are early-career researchers with special communication skills and aspirations. Following short talks on provocative modern science topics, these two Science Envoys will answer questions with insight and enthusiasm:
• Stanford computer scientist Teddi Worledge on Verifying AI with Attributed Sources — So-called large language models (LLMs) provide information and make judgments nearly everywhere — from online search engines to classrooms and medical clinics. But LLMs do make errors. Language model systems that attribute their sources can address this accuracy problem, as long as the attributions theselves are reliable!
• UC Berkeley physicist Matt Tao on What Ultracold Atoms Reveal — Atoms cooled to billionths of a degree can teach us much about the world. The wave nature of ultracold atoms allows interference experiments (interferometry) with astounding precision. Such tabletop interferometers even allow the study of gravity, nature’s weakest — but most pervasive — force, at minute scales.
This interactive science presentation, free and unticketed, is produced by Wonderfest in partnership with Marin Science Seminar.
Marin Science Seminar [https://marinscienceseminar.com]
What value does this free science experience have for you and, indirectly, for society? Accordingly, please consider making a donation to nonprofit Wonderfest via the Eventbrite box, below.
How To Make A.I. Safe – Aug 1
Artificial intelligence is advancing rapidly, demonstrating success in multiple areas in recent years. But by their very nature, AI problems don’t have definitive correct solutions. Programs can give wrong answers, be unfairly biased against some groups, and can be hard to understand. Dr. Peter Norvig literally wrote the book on artificial intelligence. In this informal presentation, Dr. Norvig will discuss the promise and peril of AI, welcoming attendee input.
Dr. Peter Norvig is Director of Research at Google, and he is a Fellow at Stanford’s Human-Centered AI Institute. Peter is co-author (with Stuart Russell) of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and he is a member of the Wonderfest Advisory Board.
Dr. Peter Norvig
Since Wonderfest is COVID-cautious, consider wearing a mask (provided upon request). The warm feeling of Wondernaut(!) camaraderie radiates through masks and across wide seat-spacing.
This event is FREE and unticketed ... and valuable. But what value does it have for YOU? Accordingly, please consider a donation to nonprofit Wonderfest via the Eventbrite window, below.
Robot Learning; Toad Navigation – Apr 27
Wonderfest Science Envoys are early-career researchers with special communication skills and aspirations. Following short talks on provocative modern science topics, these two Science Envoys will answer questions with insight and enthusiasm:
• UC Berkeley computer scientist Dr. Ellen Novoseller on Machine Learning in Robots — How do robots use machine learning algorithms to behave properly in uncertain surroundings? Two examples highlight the issue: a household robot that learns to manipulate everyday objects, and a personalized robotic exoskeleton that helps mobility-impaired people to walk.
• Stanford organismal biologist Daniel Shaykevich on Toads in Space: Studying Navigation in Amphibians — While we know quite a bit about how mammals use their brains to understand their spatial surroundings, we know much less about how frogs and salamanders do it. What is going on inside the amphibian brain during navigation? And why would this be interesting to humans?
Bay Area Science Festival [https://www.bayareasciencefestival.org]
This event is free. But what value do these science insights have FOR YOU? Accordingly, please use the space below to contribute to nonprofit Wonderfest, and help to promote the scientific outlook broadly — as through our outstanding Science Envoy Program.
Animal Behavior; Machine Learning – Apr 11
Wonderfest Science Envoys are early-career researchers with special communication skills and aspirations. Following short talks on provocative modern science topics, these two Science Envoys will answer questions with insight and enthusiasm:
• UC Berkeley zoologist Erin Person on What’s the Point? Animal Behavior and the Value of Niche Science — We share our planet with many strange and wonderful animals. As David Attenborough has taught us, their ways of life can be fascinating. But beyond satisfying our curiosity, studying animals can teach us about evolution, ecosystems, and even ourselves.
• Stanford statistician Ben Seiler on Understanding Machine Learning — Computers automate important decisions across our society. Unfortunately, we cannot always understand how and why complex algorithms and statistical models are making these decisions! How can we make such machine learning more transparent and interpretable?
This event is free. But what value do these science insights have FOR YOU? Accordingly, please use the space below to contribute to nonprofit Wonderfest, and help to promote the scientific outlook broadly — as through our outstanding Science Envoy Program.
Deepfake Detection – Jan 20
Computer vision systems now surpass the performance of human experts in fields like radiology and dermatology. Can they also help us discern real videos from deepfakes — videos manipulated by artificial intelligence? This Zoom presentation will provide an overview of the state-of-the-art machine-learning models for detecting deepfakes. It will also present evidence that reveals how most people are more accurate at spotting deepfakes than the best machine-learning models. We will examine results of a recent experiment suggesting that humanity’s specialized ability for recognizing faces lies at the heart of our superior performance. (No face shown above belongs to a real person!)
Our speaker, MIT’s Matthew Groh, is a PhD student and research assistant at the MIT Media Lab where he is a member of the Affective Computing Group. Before MIT, Matt cofounded Proprio Labs, worked as a data scientist at Qadium, RaiseMe, and DARPA, and was a research assistant at Innovations for Poverty Action and the World Bank.
Matthew Groh
What value does this admission-free experience have for you? Accordingly, please contribute to nonprofit Wonderfest via the Eventbrite portal, below.
What is AI? – Sep 3
The artificial intelligence (AI) that we've seen in fiction bears little resemblance to the AI we have in the real world. Stanford PhD researcher Andrey Kurenkov will analyze the real-world meaning of AI, describe what researchers in AI actually do, and explore how impressive — or not — recent AI achievements really are.
Andrey Kurenkov does research at Stanford's Vision and Learning Lab. He produces the weekly Skynet Today newsletter ("Putting AI News in Perspective"), and he is a Wonderfest Science Envoy. Andrey will answer questions during the video premiere via the YouTube "chat" bar, and afterward, via live Zoom session.
Andrey Kurenkov
Map: [https://us02web.zoom.us/j/89677333093]
First, at 8:00pm, watch the YouTube video Premiere of "What is AI?" as Andrey Kurenkov answers questions via the YouTube chat bar: https://youtu.be/h5vpSfB5l3o
Then, immediately after the video, log in to a LIVE Zoom Q&A session with Andrey: https://us02web.zoom.us/j/89677333093
Please consider helping Wonderfest to produce events like this — sharing the clear-eyed optimism of science with the Bay Area ... and the world — via the inaptly named "Tickets" block, below.