AAII Seminar: March 18, 2020

When/where: March 18, 2020 at 12pm PT;   Zoom only — https://ucsc.zoom.us/j/562952785 Title: Deep Learning for Predicting Domain Prices Speaker: Jason Ansel, Distinguished Engineer at GoDaddy Learn how GoDaddy uses neural networks to predict the price of a domain name…

AAII Seminar: May 29, 2019

When/where:  E2-215 at 12pm Presenter: Jaehoon Lee (Google Brain) Title:  Everything you wanted to know about batch size (in neural net training) but were afraid to ask Abstract: Recent hardware developments have made unprecedented amounts of data parallelism available for…

AAII Seminar: May 22, 2019

When/where:  E2-215 at 12pm Presenter: David Haan (PBSE) LURE (Learning UnRealized Events): Finding New(or Equivalent) Driver Mutation Events using Supervised Machine Learning Cancer is a genetic disease typically resulting from an accumulation of mutations.  Mutations in normal cells generally result…

AAII Seminar: May 8, 2019

No formal presentation this week.  Those who attend are encouraged to bring ~5 min of material to discuss.  Their own research, a paper that has excited them, etc. Pizza will be provided.

AAII Seminar: May 1, 2019 at 12pm in E2-215

Speaker: Majid Moghadam (CS) Title: Tactical Decision Making for Autonomous Driving Using Deep Reinforcement Learning Abstract:  Following the recent advances in AI, autonomous driving has gained considerable attention in both academia and industries. For autonomous driving the classical paradigm is to use a…

Lecture (April 11, 2019): Barry Lam: Fighting the Future: The Philosophy of Predictive Algorithms in Criminal Justice

Barry Lam Associate Professor of Philosophy at Vassar College and host of the philosophy podcast Hi-Phi Nation on Slate 2019 THI Scholar-in-Residence   Fighting the Future: The Philosophy of Predictive Algorithms in Criminal Justice Thursday, April 11, 3:15 – 5:00 pm Humanities 1 Bldg,…

Machine Learning Poster Session: March 14th, 2019 at 12-2pm

All are welcome to attend the ML Poster Session next Thursday in the Engineering Courtyard. Here is the poster describing the event.

Astronomy ML talk: March 6, 2019 at 1:30pm in ISB 102

All are welcome to a talk by PhD student Daniel Muthukrishna of Cambridge University  Title: Real-time classification of explosive transients using deep recurrent neural networks Abstract: We present RAPID (Real-time Automated Photometric IDentification), a novel time-series classification tool capable of automatically…

Coffee Talk: March 8, 2019 in the CfAO Atrium at 10:30am

Jeffrey Silverman, former NSF Astronomy postdoc and current Director of Data Science at Samba TV will present on: Title: From Astrophysics to Data Science Abstract:  We are truly in the era of Big Data. The number of data science and analytics…

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