Welcome and Introduction to the MBC Symposium on Deep Learning
Jay McClelland
(Stanford University)
Date: March 2, 2016
Created: Thursday, March 3rd, 2016
Created: Thursday, March 3rd, 2016
Search Talks
Sections
Recent Talks
- Protected: Dr. Dan McGrath: “Insider’s View on Pixel Design” (01/26/2023)
- Protected: Professor Lei Li (Rice University): “New Generation Photoacoustic Imaging: From bench-top whole-body imagers to wearable sensors” (01/22/2023)
- Protected: Dr. Jeong Joon (JJ) Park (Stanford): “Learning to Re-create Reality in 3D” (01/12/2023)
- Protected: 2022 SCIEN Affiliates Meeting Poster Previews (12/29/2022)
- Protected: Gordon Wetzstein: “Efficient Neural Scene Representation, Rendering, and Generation” (12/29/2022)
- Protected: Kawin Setsompop: “MRI acquisition technology for advanced neuroimaging” (12/29/2022)
- Protected: Aaron Roodman: “The Fastest Eye on the Sky: The Vera C. Rubin Observatory and the LSST Camera” (12/29/2022)
- Protected: Professor Emily Cooper (UC Berkeley): Taking a binocular view of augmented reality system design (12/11/2022)
- Protected: Dr. Thomas Müller (NVIDIA): “Neural Networks in High Performance Graphics” (11/30/2022)
- Protected: Dr. Tara Akhavan (IRYStec): “Perceptual Displays Today & Tomorrow – Productization and Evaluation” (11/16/2022)
Topics
3D augmented reality brain brain imaging camera CLB CNI CNS Cognitive Neuroscience computational imaging computer vision computing deep-learning digital imaging fMRI image sensor ipython law learning light field imaging machine learning MBC medical imaging medical technology memory microscopy MRI MR Methods neural circuitry neural coding neural computation neural network Neuroscience photography podcast programming psychology python retina scien social psychology statistics tutorial virtual reality visionMore talks
Share…
© Stanford Talks
Stanford University | Terms of Use | Copyright Complaints