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Understanding the Differences Between Biological and Computer Vision
From ACM Opinion

Understanding the Differences Between Biological and Computer Vision

Harvard Medical University Professor Gabriel Kreiman provides an account of how humans and animals process visual data and how far techno come toward replicating...

Quantifying Uncertainty in Deep Learning
From ACM Opinion

Quantifying Uncertainty in Deep Learning

Aalto University Professor Arno Solin discusses how to improve deep learning uncertainty with doctoral student Lassi Meronen.

Professor Advocates Taking AI Research Back to Its Roots
From ACM Opinion

Professor Advocates Taking AI Research Back to Its Roots

To build a general artificial intelligence, we may need to know more about our own minds, argues computer scientist Melanie Mitchell.

AI Drives Crossword-Solving Program to Tournament Victory
From ACM Opinion

AI Drives Crossword-Solving Program to Tournament Victory

Plagued by unifinished crossword puzzles? Matt Ginsberg, a pro crossword writer and AI scientist, wrote a program that solves crosswords.

AI May Have a Lot to Learn From Children
From ACM Opinion

AI May Have a Lot to Learn From Children

Exploratory learning, the kind that is exhibited by children, might better inform AI development than the habitual learning processes employed by adults, according...

Trustworthy Scientific Computing
From Communications of the ACM

Trustworthy Scientific Computing

Addressing the trust issues underlying the current limits on data sharing.

The 10 Best Practices for Remote Software Engineering
From Communications of the ACM

The 10 Best Practices for Remote Software Engineering

Focusing on the human element of remote software engineer productivity.

Let's Be Honest
From Communications of the ACM

Let's Be Honest

Seeking to rectify the two mutually exclusive ways of comparing computational power — encoding and simulation.
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