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The Triton Neurotech and TNT Academy team is excited to announce their first event in their Professor Talk series! Join them for a talk put on by Dr. Bradley Voytek on Wednesday, May 8th from 7-8pm in Henry Booker Room, Jacobs Hall 2512. Dr. Voytek is a Professor in the Department of Cognitive Science, the Halıcıoğlu […]
Abstract: Recent progress in AI can be attributed to the emergence of large models trained on large datasets. However, teaching AI agents to reliably interact with our physical world has proven challenging, which is in part due to a lack of large and sufficiently diverse robot datasets. In this talk, I will cover ongoing efforts of the Open X-Embodiment project–a collaboration between 279 researchers across 20+ institutions–to build a large, open dataset for real-world robotics, and discuss how this new paradigm is rapidly changing the field. Concretely, I will discuss why we need large datasets in robotics, what such datasets may look like, and how large models can be trained and evaluated effectively in a cross-embodiment cross-environment setting. Finally, I will conclude the talk by sharing my perspective on the limitations of current embodied AI agents, as well as how to move forward as a community.
Speaker: Sarah H. Cen Abstract: We have begun grappling with difficult questions related to the rise of AI, including: What rights do individuals have in the age of AI? When should we regulate AI and when should we abstain? What degree of transparency is needed to monitor AI systems? These questions are all concerned with AI accountability: determining who owes responsibility and to whom in […]
Abstract: Although influenza is one of the best-studied viruses, vaccine effectiveness remains around 20-50%. A sizable fraction of people exhibit a weak or short-lived antibody response following vaccination, yet we cannot identify these individuals a priori nor ascertain whether a different vaccine would have served them better. In this talk, we demonstrate how machine learning can […]
Please join the HDSI PhD Program for Bhanu Teja Gullapalli’s presentation of his dissertation on June 3, at 3:30 pm. PST. This defense will take place in-person, (HDSI Conference Room 138 ) but there will also be a Zoom link provided for remote attendees. Please note that the Zoom meeting will be recorded and the committee will meet in closed session after […]
The 2024 Inaugural Graduate Commencement Awards Luncheon will take place on Wednesday June 5 at HDSI's Multi-Purpose Room. Join us in celebrating the successes of our graduating MS and PhD. Space is limited and we have to confirm catering numbers, so please RSVP no later than Friday 5/31!! When: Wed June 5, 2024 Time: 12:30pm - […]
Date: June 6 Time: 11:00 AM - 5:00 PM Location: Halıcıoğlu Data Science Institute, Room 123, 3234 Matthews Ln, La Jolla, CA, 92093 Join us to celebrate the advancements and future of the Halıcıoğlu Data Science Institute. The event will feature: Keynote Speaker: Thomas Andriola, Vice Chancellor and Chief Digital Officer, UC Irvine Faculty Talks: […]
EVENT WEBSITE 8:00 – 8:45am Breakfast 8:45 – 9:00am Welcome Remarks and Introduction to TILOS Director Yusu Wang (UCSD) and AD Translation Vijay Kumar (UPenn) 9:00 – 10:30am SESSION 1 Industry Keynote: Nicholas Roy (Zoox and MIT) TILOS Faculty Highlights: Farinaz Koushanfar (UCSD) Nisheeth Vishnoi (Yale U) 10:30 – 10:45am Break (15 minutes) 10:45am – 12:15pm SESSION 2 Industry Keynote: Nageen Himayat (Intel Labs) TILOS Faculty […]
When Monday July 22nd 2:00pm Where: HDSI MPR 123 Zoom Info: http://bit.ly/HDSI-Seminars Title: "Tackling Acute Respiratory Distress Syndrome (ARDS) : Integrated and Holistic Approaches" Abstract: ARDS is a complex heterogenous disorder which forms a significant health care burden. Pathophysiologically, ARDS is caused by multiple aetiologies which can lead to the diversity in clinical presentation seen. In our work with […]
When Wednesday July 24th 10:00am *Updated Where: HDSI 123 * Updated Zoom Info: https://ucsd.zoom.us/j/99334315002 *Updated Title: What Kinds of Functions do Neural Networks Learn? Theory and Practical Applications Abstract: This talk presents a theory characterizing the types of functions neural networks learn from data. Specifically, the function space generated by deep ReLU networks consists of compositions of functions from the […]