Media Summary: Debbie Marks (Harvard University), Anshul Kundaje (Stanford University) [REMOTE], and Jack Gallant (University of California, ... Computational Genomics Winter Institute 2018 " Artificial intelligence has a huge role to play in the

Panel On Interpretability In The Biological Sciences - Detailed Analysis & Overview

Debbie Marks (Harvard University), Anshul Kundaje (Stanford University) [REMOTE], and Jack Gallant (University of California, ... Computational Genomics Winter Institute 2018 " Artificial intelligence has a huge role to play in the Nancy Kanwisher, Thomas Serre, Josh Tenenbaum. June 20-21, 2012 - Genomics of model organisms and human On February 29, 2016, Ms. Shrikumar delivered this talk at the annual CEHG symposium on Stanford campus. CEHG is Stanford's ...

Title of the presentation: "Topic models for This video was recorded in San Francisco on February 5th, 2019. Following were the panelists: 1. Agus Sudjianto, EVP, Head of ...

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Panel on Interpretability in the Biological Sciences
Su-In Lee: "Interpretable Machine Learning for Precision Medicine"
AI in Life Sciences Panel Replay: Using AI to Improve Patient Outcomes and Redefine Health
Panel Discussion: What is the relationship between biological brains and AI algorithms?
Biological Sciences
Systems Biology and the Brain Panel Discussion
Panel discussion: Use of modENCODE data for understanding basic biology
Panel Discussion: Use of modENCODE data for understanding human biology and disease
Avanti Shrikumar, Not just a black box: Interpretable deep learning for genomics and epigenomics
MIA: Peter Koo, Interpretable convolutional networks for regulatory genomics
Connecting the Dots: Biology At Scale In The Age Of AI - Panel Discussion and Closing Remarks
Susan Holmes - Topic models for interpretable multidomain microbiome data | S01 MVIF6
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Panel on Interpretability in the Biological Sciences

Panel on Interpretability in the Biological Sciences

Debbie Marks (Harvard University), Anshul Kundaje (Stanford University) [REMOTE], and Jack Gallant (University of California, ...

Su-In Lee: "Interpretable Machine Learning for Precision Medicine"

Su-In Lee: "Interpretable Machine Learning for Precision Medicine"

Computational Genomics Winter Institute 2018 "

Sponsored
AI in Life Sciences Panel Replay: Using AI to Improve Patient Outcomes and Redefine Health

AI in Life Sciences Panel Replay: Using AI to Improve Patient Outcomes and Redefine Health

Artificial intelligence has a huge role to play in the

Panel Discussion: What is the relationship between biological brains and AI algorithms?

Panel Discussion: What is the relationship between biological brains and AI algorithms?

Nancy Kanwisher, Thomas Serre, Josh Tenenbaum.

Biological Sciences

Biological Sciences

Learn more at https://www.sfu.ca/bigpotential.html.

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Systems Biology and the Brain Panel Discussion

Systems Biology and the Brain Panel Discussion

2013 ISB Symposium:

Panel discussion: Use of modENCODE data for understanding basic biology

Panel discussion: Use of modENCODE data for understanding basic biology

June 20-21, 2012 - Genomics of model organisms and human

Panel Discussion: Use of modENCODE data for understanding human biology and disease

Panel Discussion: Use of modENCODE data for understanding human biology and disease

June 20-21, 2012 - Genomics of model organisms and human

Avanti Shrikumar, Not just a black box: Interpretable deep learning for genomics and epigenomics

Avanti Shrikumar, Not just a black box: Interpretable deep learning for genomics and epigenomics

On February 29, 2016, Ms. Shrikumar delivered this talk at the annual CEHG symposium on Stanford campus. CEHG is Stanford's ...

MIA: Peter Koo, Interpretable convolutional networks for regulatory genomics

MIA: Peter Koo, Interpretable convolutional networks for regulatory genomics

May 29, 2019 Peter Koo Eddy Lab, Harvard

Connecting the Dots: Biology At Scale In The Age Of AI - Panel Discussion and Closing Remarks

Connecting the Dots: Biology At Scale In The Age Of AI - Panel Discussion and Closing Remarks

SESSION 4

Susan Holmes - Topic models for interpretable multidomain microbiome data | S01 MVIF6

Susan Holmes - Topic models for interpretable multidomain microbiome data | S01 MVIF6

Title of the presentation: "Topic models for

Machine Learning Interpretability Panel - H2O World San Francisco

Machine Learning Interpretability Panel - H2O World San Francisco

This video was recorded in San Francisco on February 5th, 2019. Following were the panelists: 1. Agus Sudjianto, EVP, Head of ...