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Back to Machine Learning

All Work Published on Machine Learning

What A Stanford Researcher’s Fight Against Covid-19 Can Tell Us About The Future Of Drug Discovery
Konstantine Buhler
Jul 07, 2020
News
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What A Stanford Researcher’s Fight Against Covid-19 Can Tell Us About The Future Of Drug Discovery

Konstantine Buhler
Jul 07, 2020
Healthcare
Natural Language Processing
Machine Learning
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News
AI’s Carbon Footprint Problem
Edmund L. Andrews
Jul 02, 2020
News

Machine learning generates far more carbon emissions than most people realize. A Stanford team has developed a tool to measure the hidden cost.

AI’s Carbon Footprint Problem

Edmund L. Andrews
Jul 02, 2020

Machine learning generates far more carbon emissions than most people realize. A Stanford team has developed a tool to measure the hidden cost.

Machine Learning
News
Universities and Tech Giants Back National Cloud Computing Project
Steve Lohr
Jun 30, 2020
Media Mention

Universities and Tech Giants Back National Cloud Computing Project

Steve Lohr
Jun 30, 2020
Education, Skills
Machine Learning
Media Mention
Shaping Human Creativity at a Massive Scale
Shana Lynch, Russ Altman
Jun 26, 2020
News

HAI fellow Pamela Chen studies how creators harness AI to go viral on social platforms and why we need to question the process.

Shaping Human Creativity at a Massive Scale

Shana Lynch, Russ Altman
Jun 26, 2020

HAI fellow Pamela Chen studies how creators harness AI to go viral on social platforms and why we need to question the process.

Arts, Humanities
Machine Learning
News
The Cost of Training Machines is becoming a Problem
Tim Cross
Jun 11, 2020
Media Mention

The Cost of Training Machines is becoming a Problem

Tim Cross
Jun 11, 2020
Machine Learning
Media Mention
Grading on a Curve? Why AI Systems Test Brilliantly but Stumble in Real Life
Edmund L. Andrews
May 13, 2020
News

A Stanford linguist argues that deep-learning systems need to be measured on whether they can be self-aware.

Grading on a Curve? Why AI Systems Test Brilliantly but Stumble in Real Life

Edmund L. Andrews
May 13, 2020

A Stanford linguist argues that deep-learning systems need to be measured on whether they can be self-aware.

Natural Language Processing
Machine Learning
News
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