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…

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…

E2-215,   12pm David Reiman, PhD student of Physics, will present on “AstroGANs: Deep Generative Models for Astrophysics and Galaxy Evolution”. Here is his abstract: Deep learning has revolutionized big data—from outperforming doctors in skin cancer diagnoses to precisely forecasting earthquake…

Rob Currie will moderate a policy discussion on AI related to the medical industry: A turning point occurred last year when the FDA approved the first ‘Fully Autonomous AI Driven Clinical Diagnostic’. The IDx system diagnoses diabetic retinopathy, requires a…

Evaluation of the Tensor Processing Unit: A Deep Neural Network Accelerator for the Datacenter David Patterson EECS Professor Emeritus and Professor in the Graduate School UC Berkeley Friday, February 8, 2:40 PM E2-180 Abstract:  With the ending of Moore’s Law,…

Postdoctoral Scholar Mohammad Jafari from the group of Professor Marcella Gomez (Applied Math) will present “On the Machine Learning-Based Prediction and Control of Biological Systems”. Abstract:  Due to the complex nonlinear nature of biological systems, it is challenging to predict their…

Join the SCAI Slack for further details.

Professor Adam Smith (Computational Media) will present on “Deep Learning and the Future of Search: Objects, Apps, and Beyond”.    Here is his abstract: Web search has matured over the past 20 years, but it still leans on the traditions…

Members of the group will take ~5min to present on their latest activities, an inspiring new paper, or any advance in machine learning that has caught their attention. We will also discuss goals for SCML in the New Year.

Angus Forbes will discuss recent trends in the field of Creative AI and survey applications of machine learning for computer graphics. He’ll also present an overview of Deep Illumination, a technique to approximate global illumination for real-time rendering using a…

Skip to toolbar