Brown University School of Engineering

Events

Theory and Practice in Machine Learning and Computer Vision

Tuesday, February 19, 2019 - Friday, February 22, 2019

All Day

ICERM

121 South Main Street, 11th Floor

Theory and Practice in Machine Learning and Computer Vision Feb 18 - 22, 2019 Recent advances in machine learning have had a profound impact on computer vision. Simultaneously, success in computer vision applications has rapidly increased our understanding of some machine learning techniques, especially their applicability. This workshop will bring together researchers who are building a stronger theoretical understanding of the foundations of machine learning with computer vision researchers who are advancing our understanding of machine learning in practice.

Theory and Practice in Machine Learning and Computer Vision

Wednesday, February 20, 2019 - Friday, February 22, 2019

All Day

ICERM

121 South Main Street, 11th Floor

Theory and Practice in Machine Learning and Computer Vision Feb 18 - 22, 2019 Recent advances in machine learning have had a profound impact on computer vision. Simultaneously, success in computer vision applications has rapidly increased our understanding of some machine learning techniques, especially their applicability. This workshop will bring together researchers who are building a stronger theoretical understanding of the foundations of machine learning with computer vision researchers who are advancing our understanding of machine learning in practice.

Theory and Practice in Machine Learning and Computer Vision

Thursday, February 21, 2019 - Friday, February 22, 2019

All Day

ICERM

121 South Main Street, 11th Floor

Theory and Practice in Machine Learning and Computer Vision Feb 18 - 22, 2019 Recent advances in machine learning have had a profound impact on computer vision. Simultaneously, success in computer vision applications has rapidly increased our understanding of some machine learning techniques, especially their applicability. This workshop will bring together researchers who are building a stronger theoretical understanding of the foundations of machine learning with computer vision researchers who are advancing our understanding of machine learning in practice.

Engineering Seminar: Joint Materials/Solid Mechanics

Monday, February 25, 2019

4:00pm - 5:00pm

School of Engineering

Barus and Holley, 190

Professor Konstantinos Danas, Solid Mechanics Laboratory at CNRS, Ecole Polytechnique, will present a talk: “Microstructured Magnetorheological Elastomers and Instabilities”.

Dean in the Commons

Tuesday, February 26, 2019

5:00pm - 6:00pm

School of Engineering

Engineering Research Center, Hazeltine Commons

Join Senior Associate Dean Rod Beresford every Tuesday during the academic year in the Hazeltine Commons of the Engineering Research Center for open office hours. He will discuss issues, answer questions, listen to suggestions or complaints about the School of Engineering, engineering classes, labs, facilities, etc.

Robotics Talk: Renee Hobbs, URI

Thursday, February 28, 2019

12:00pm - 12:50pm

Humanity Centered Robotics Initiative

CIT Lubrano Conference Room, 477

Crowdsourcing Global Media Literacy Education: Helping People Keep Up with the Digital Revolution

Renee Hobbs, University of Rhode Island

Host: Michael Littman/HCRI

Carney Institute Lunch Talk - “Carney Innovation Awards”

Thursday, February 28, 2019

12:00pm - 1:30pm

Robert J. & Nancy D. Carney Institute for Brain Science

Sharpe Refectory, Chancellor’s Dining Room

Carney Innovations Awards
Robert J. & Nancy D. Carney Institute for Brain Science Lunch Talk
Thursday, February 28
12 - 1:30 p.m.
Sharpe Refectory, Chancellor’s Dining Room

Learn more about the Innovation Awards program and hear from some recipients of prior awards.

Team Science Workshop

Monday, March 4, 2019

5:00pm - 6:30pm

Advance-CTR

Women & Infants Hospital, South Pavilion, Auditoriums 3 & 4

Register now for, “Better Together: Putting Team Science Theory into Practice to Enhance Your Research,” a workshop presented by Debbie Cornman, PhD, and Katie Sharkey, MD, PhD. 

Medical research continues to move away from the traditional “independent investigator” model, and toward collaborative approaches that integrate diverse disciplines with traditional biomedical sciences.