Events

EE380 Computer Systems Colloquium: Computer Architectures and Data Security  
Seminar

Jon Masters (Redhat)

Microprocessor side channel attacks: Meltdown, Spectre, and more

Computer Architectures and Data Security
Wed Jan 31st, 2018
 (
4:30 pm
)
Gates B03

Applied Physics/Physics Colloquium: Critical Metals: Lessons from quantum Monte Carlo studies  
Seminar

Prof. Erez Berg (University of Chicago)

TBA

Critical Metals: Lessons from quantum Monte Carlo studies
Tue Jan 30th, 2018
 (
4:30 pm
)
Hewlett 201

SystemX Seminar: Coherent Ising machines for combinatorial optimization - Optical neural networks operating at the quantum limit  
Seminar

Yoshihisa Yamamoto (Stanford)

Optimization problems with discrete and continuous variables are ubiquitous in numerous important areas, including operations and scheduling, drug discovery, wireless communications, finance, integrated circuit design

Coherent Ising machines for combinatorial optimization - Optical neural networks operating at the quantum limit
Mon Jan 29th, 2018
 (
2:00 pm
)
Packard 204

IT-Forum: Recent Advances in Algorithmic High-Dimensional Robust Statistics  
Seminar

Ilias Diakonikolas (USC)

Fitting a model to a collection of observations is one of the quintessential problems in machine learning.

Recent Advances in Algorithmic High-Dimensional Robust Statistics
Fri Jan 26th, 2018
 (
1:15 pm
)
Packard 202

SystemX Seminar: Using the Stanford Driving Simulator for Human Machine Interaction Studies  
Seminar

Larry Cathey (Vail Lab, Stanford University)

The driving simulator at Stanford is used for human-in-the-loop, human-machine interaction (HMI) driving studies. Many of the studies focus on shared control between humans and autonomous systems.

Using the Stanford Driving Simulator for Human Machine Interaction Studies
Thu Jan 25th, 2018
 (
4:30 pm
)
Y2E2 111

ISL Colloquium: Communication in Machine Learning  
Seminar

John Cioffi (Stanford)

This Information Systems Seminar talk investigates the converse use of communication technologies and methods, sometimes in alternative forms or with different names, in machine learning.

Communication in Machine Learning
Thu Jan 25th, 2018
 (
4:15 pm
)
Packard 101

ChEM-H Special Seminar: Inverse Problems and Unsupervised Learning with applications to Cryo-Electron Microscopy  
Seminar

Roy Lederman, Ph.D. (Princeton University)

Cryo-Electron Microscopy (cryo-EM) is an imaging technology that is revolutionizing structural biology; the Nobel Prize in Chemistry 2017 was recently awarded to Jacques Dubochet, Joachim Frank and Richard Henderson "

Inverse Problems and Unsupervised Learning with applications to Cryo-Electron Microscopy
Thu Jan 25th, 2018
 (
4:00 pm
)
Allen 101X

SCIEN Talk: Learning where to look in 360 environments  
Seminar

Professor Kristen Grauman (University of Texas at Austin)

Many vision tasks require not just categorizing a well-composed human-taken photo, but also intelligently deciding "where to look" in order to get a meaningful observation in the first place.

Learning where to look in 360 environments
Wed Jan 24th, 2018
 (
4:30 pm
)
Packard 101

EE380 Computer Systems Colloquium: Personal BioHacking  
Seminar

Josiah Zayer (The Odin)

"Cells Are Not Computers and DNA is Not a Programming Language and That's Ok"


 

Personal BioHacking
Wed Jan 24th, 2018
 (
4:30 pm
)
Gates B03

Applied Physics/Physics Colloquium: Searches for new Physics with Nuclear Spin Precession  
Seminar

Prof. Mike Romalis (Princeton University)

Prof. Mike Romalis of Princeton University will give the Applied Physics/Physics colloquium on Jan. 23, 2018, entitled "Searches for new Physics with Nuclear Spin Precession."

Searches for new Physics with Nuclear Spin Precession
Tue Jan 23rd, 2018
 (
4:30 pm
)
Hewlett 201

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