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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.

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.

Stop Talking About AI Ethics. It's Time to Talk About Power
From ACM Opinion

Stop Talking About AI Ethics. It's Time to Talk About Power

AI scholar Kate Crawford explores the history of artificial intelligence and its impact on the physical world in her new book, Atlas of AI.

How to Make the Most of Remote Tech Interviews
From ACM Opinion

How to Make the Most of Remote Tech Interviews

Mark Kinsella, vice president of engineering at Opendoor Technologies, provides tips on best practices for remote tech interviews.

Trustworthy Scientific Computing
From Communications of the ACM

Trustworthy Scientific Computing

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

Software Professionals, Malpractice Law, and Codes of Ethics
From Communications of the ACM

Software Professionals, Malpractice Law, and Codes of Ethics

In pursuit of professional status for computing professionals.

CS Unplugged or Coding Classes?
From Communications of the ACM

CS Unplugged or Coding Classes?

Perhaps a more appropriate question is 'Why not both'?

Understanding Law and the Rule of Law
From Communications of the ACM

Understanding Law and the Rule of Law: A Plea to Augment CS Curricula

Why law matters for computer scientists and other folk.

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.

Why Cryptocurrency Is A Giant Fraud
From ACM Opinion

Why Cryptocurrency Is A Giant Fraud

Speculators might make money on cryptocurrency, but the arguments for its usefulness fail completely.

Why Bitcoin Is Bad for the Environment
From ACM Opinion

Why Bitcoin Is Bad for the Environment

Cryptocurrency mining uses huge amounts of power — and can be as destructive as the real thing.

Tech in the Post-Pandemic World
From ACM Opinion

Tech in the Post-Pandemic World

Assessing its future, both the bad and the good.

Hackers Used to Be Humans. Soon, AIs Will Hack Humanity
From ACM Opinion

Hackers Used to Be Humans. Soon, AIs Will Hack Humanity

To date, hacking has exclusively been a human activity. Not for long.
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