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An Interview with Jim Keller: 'The Laziest Person at Tesla'
From ACM Opinion

An Interview with Jim Keller: 'The Laziest Person at Tesla'

Veteran chip designer covers his past lives, Moore's Law, AI-designed chips, security, ethics, and more.

 The Next Critical Talent Shortage Won't Be Fortran
From ACM Opinion

The Next Critical Talent Shortage Won't Be Fortran

To understand where talent shortages might arise, look at critical infrastructure.

Reimplementing Software Interfaces Is Fair Use
From Communications of the ACM

Reimplementing Software Interfaces Is Fair Use

A multifactored rationale for denying Oracle's claim against Google.

The Coming Productivity Boom
From ACM Opinion

The Coming Productivity Boom

AI and other digital technologies have been surprisingly slow to improve economic growth. But that could be about to change.

Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril
From ACM Opinion

Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril

A machine learning-based score designed to aid triage decisions is gaining in popularity, but lacking in transparency.

Climate Policy Models Need to Get Real About People—Here's How
From ACM Opinion

Climate Policy Models Need to Get Real About People—Here's How

To predict how society and political systems might actually respond to warming, upgrade integrated assessment models.

What Makes Quantum Computing So Hard to Explain?
From ACM Opinion

What Makes Quantum Computing So Hard to Explain?

To understand what quantum computers can do—and what they can’t—avoid falling for overly simple explanations.

Getting More People With Disabilities Developing Technology Is Good for Everyone
From ACM Opinion

Getting More People With Disabilities Developing Technology Is Good for Everyone

It's not just a matter of fairness and inclusion. Accessible technology is generally better for everyone.

Theorists and Experimentalists Must Join Forces
From ACM Opinion

Theorists and Experimentalists Must Join Forces

Collaborations between theorists and experimentalists are crucial for accelerating research.

For Companies That Use ML, Labeled Data Is the Key Differentiator
From ACM Opinion

For Companies That Use ML, Labeled Data Is the Key Differentiator

Any company that is considering using machine learning cannot overlook one technical choice: supervised or unsupervised learning.

Should Alexa Read Our Moods?
From ACM Opinion

Should Alexa Read Our Moods?

Companies should be barred from analyzing what people say and how they sound to recommend products or personalize advertising messages.

How to Be Responsible in AI Publication
From ACM Opinion

How to Be Responsible in AI Publication

A white paper from Partnership on AI advises on navigating the risks of AI research and responsible publication.

Charlie Marcus Knows That Quantum Facts Aren't Complicated
From ACM Opinion

Charlie Marcus Knows That Quantum Facts Aren't Complicated

The secret to making a qubit for future quantum computers might depend on knowing how to tie knots in unusual materials, argues quantum physicist Charlie Marcus...

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.

Cooperative AI: Machines Must Learn to Find Common Ground
From ACM Opinion

Cooperative AI: Machines Must Learn to Find Common Ground

To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as deeply social.

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...

Vivienne Sze: Crossing the Hardware-Software Divide for Efficient AI
From ACM Opinion

Vivienne Sze: Crossing the Hardware-Software Divide for Efficient AI

MIT Associate Professor Vivienne Sze discusses why we need low-power AI now, and more.
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