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What's up in

machine learning

Latest Articles

Q&A

Searching for the Algorithms Underlying Life

By John Pavlus
January 28, 2016
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The biological world is computational at its core, argues computer scientist Leslie Valiant.

Quantized Columns

Big Data’s Mathematical Mysteries

By Ingrid Daubechies
December 3, 2015
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Machine learning works spectacularly well, but mathematicians aren’t quite sure why.

Quantized Columns

The Rise of Computer-Aided Explanation

By Michael Nielsen
July 23, 2015
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Computers can translate French and prove mathematical theorems. But can they make deep conceptual insights into the way the world works?

Q&A

Concerns of an Artificial Intelligence Pioneer

By Natalie Wolchover
April 21, 2015
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Computer scientist Stuart Russell wants to ensure that our increasingly intelligent machines remain aligned with human values.

genetics

Machine Intelligence Cracks Genetic Controls

By Emily Singer
December 18, 2014
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Scientists have begun to decipher the most difficult-to-read parts of the genome — the parts that don’t code for proteins. The new work reveals how errors in these genetic instructions can lead to disease.

Computer Science

A Common Logic to Seeing Cats and Cosmos

By Natalie Wolchover
December 4, 2014
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New research suggests physicists, computers and brains employ the same procedure to tease out important features from among other irrelevant bits of data.

Data Driven: The New Big Science

The Future Fabric of Data Analysis

By Jennifer Ouellette
October 9, 2013
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The nature of computing has changed dramatically over the last decade, and more innovation is needed to weather the gathering data storm.

machine learning

Decoding Flu Viruses Before an Outbreak

By Emily Singer
August 29, 2013
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Machine learning techniques are helping scientists pinpoint the mutations that allow bird and pig viruses to infect humans.

computer science

Evidence That Machines Learn Like Us

By Natalie Wolchover
July 23, 2013
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Studies show that computer models called “neural networks” behave strikingly similar to actual brains when performing certain tasks, suggesting the two may learn in the same way.


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