SysML 18: Bill Dally, Hardware for Deep Learning

(36:59)

SysML 18: Dawn Song, Security, Privacy, and Democratization

(38:54)

SysML 18: Jeff Dean, Systems and Machine Learning Symbiosis

(39:51)

SysML 18: Michael Jordan, Perspectives and Challenges

(40:27)

SysML 18: Lise Getoor, Structured ML: Opportunities and Challenges for the SysML Community

(37:18)

SysML 18: Ameet Talwalkar, Opening Remarks

(4:13)

SysML 18: Ioannis Mitliagkas, YellowFin: Adaptive Optimization for (A)synchronous Systems

(10:30)

SysML 18: Thibault Sellam, Inspecting the Internal Logic of Recurrent Neural Networks

(11:53)

SysML 18: Vivienne Sze, Limitations of Energy-Efficient Design Approaches for Deep Neural Networks

(10:4)

SysML 18: Tianqi Chen, TVM: End-to-End Compilation Stack for Deep Learning

(10:43)

SysML 18: Jonathan Binas, Analog electronic deep networks for fast and efficient inference

(7:35)

SysML 18: Arya Mazumdar, Robust Gradient Descent via Moment Encoding with LDPC Codes

(10:50)

SysML 18: Matteo Interlandi, Towards High-Performance Prediction Serving Systems

(8:15)

What is Sysml? - A Quick Overview

(7:45)

Why SysML?

(8:26)

Requirements Management in SysML Crash Course

(28:3)