Media Summary: Amy Wang: Amy Wang is a third-year student at Brown University concentrating in Computational Biology. Her interests within the ... Bio: Jessy is a senior studying EECS and philosophy at MIT. She works on real-world adversarial examples with Labsix, ... NB: Please go to to view this video since there is important updated information there. If you have questions, ...

Mic 2018 Deep Learning For - Detailed Analysis & Overview

Amy Wang: Amy Wang is a third-year student at Brown University concentrating in Computational Biology. Her interests within the ... Bio: Jessy is a senior studying EECS and philosophy at MIT. She works on real-world adversarial examples with Labsix, ... NB: Please go to to view this video since there is important updated information there. If you have questions, ... Bio: Kenneth O. Stanley is Charles Millican Professor of Computer Science at the University of Central Florida and director there of ... Bio: Olivia is currently a senior at UC Berkeley studying Computer Science. She leads Leslie is a Professor at MIT. She has an undergraduate degree in Philosophy and a PhD in Computer Science from Stanford, and ...

Bio: Sarah is a PhD candidate in the Image and Video Computing Group in the Department of Computer Science at Boston ... Bio: David Tao is a Singaporean undergraduate CS student currently studying at McGill University, and also a research intern at ... Bio: Ellick Chan is the Head of University Relations and Research at Intel AI. He earned a PhD in Computer Science from the ... Bio: Thalia is a recent graduate in Biostatistics and Economics from Simmons University. She is driven by intersection of ...

Photo Gallery

MIC 2018 - Deep Learning for ELVO Stroke Detection
MIC 2018 - Real-World Adversarial Examples
Lesson 1: Deep Learning 2018
MIC 2018 - Kenneth Stanley's Closing Keynote
MIC 2018 - Nvidia Technical Talks
MIC 2018 - Your Children AI
MIC 2018 - Leslie Kaelbling's Opening Research Keynote
MIC 2018 - Spatio-temporal Grounding in Visual Data
MIC 2018 - Learning with Text-based Games
MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms
MIC 2018 - Performance Boosting Methods in Semi-Supervised NLP Neural Net Environments
MIC 2018 - Women in Machine Intelligence (WiMI) Panel
View Detailed Profile
MIC 2018 - Deep Learning for ELVO Stroke Detection

MIC 2018 - Deep Learning for ELVO Stroke Detection

Amy Wang: Amy Wang is a third-year student at Brown University concentrating in Computational Biology. Her interests within the ...

MIC 2018 - Real-World Adversarial Examples

MIC 2018 - Real-World Adversarial Examples

Bio: Jessy is a senior studying EECS and philosophy at MIT. She works on real-world adversarial examples with Labsix, ...

Lesson 1: Deep Learning 2018

Lesson 1: Deep Learning 2018

NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, ...

MIC 2018 - Kenneth Stanley's Closing Keynote

MIC 2018 - Kenneth Stanley's Closing Keynote

Bio: Kenneth O. Stanley is Charles Millican Professor of Computer Science at the University of Central Florida and director there of ...

MIC 2018 - Nvidia Technical Talks

MIC 2018 - Nvidia Technical Talks

Bio: Adam Lesnikowski is a

MIC 2018 - Your Children AI

MIC 2018 - Your Children AI

Bio: Olivia is currently a senior at UC Berkeley studying Computer Science. She leads

MIC 2018 - Leslie Kaelbling's Opening Research Keynote

MIC 2018 - Leslie Kaelbling's Opening Research Keynote

Leslie is a Professor at MIT. She has an undergraduate degree in Philosophy and a PhD in Computer Science from Stanford, and ...

MIC 2018 - Spatio-temporal Grounding in Visual Data

MIC 2018 - Spatio-temporal Grounding in Visual Data

Bio: Sarah is a PhD candidate in the Image and Video Computing Group in the Department of Computer Science at Boston ...

MIC 2018 - Learning with Text-based Games

MIC 2018 - Learning with Text-based Games

Bio: David Tao is a Singaporean undergraduate CS student currently studying at McGill University, and also a research intern at ...

MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms

MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms

Bio: Ellick Chan is the Head of University Relations and Research at Intel AI. He earned a PhD in Computer Science from the ...

MIC 2018 - Performance Boosting Methods in Semi-Supervised NLP Neural Net Environments

MIC 2018 - Performance Boosting Methods in Semi-Supervised NLP Neural Net Environments

Bio: Thalia is a recent graduate in Biostatistics and Economics from Simmons University. She is driven by intersection of ...

MIC 2018 - Women in Machine Intelligence (WiMI) Panel

MIC 2018 - Women in Machine Intelligence (WiMI) Panel

The Women in

MIC 2018 - Conference Introduction and Matt Scott's Opening Industry Keynote

MIC 2018 - Conference Introduction and Matt Scott's Opening Industry Keynote

Machine