Communications of the ACM
Can Neural Networks Learn Better than Human Neurons?
When AI programmers stop trying to copy the human neuron, neural networks make much better progress.
From ACM Opinion
'Clearly AI Is Going to Win'
Nobel-winning psychologist Daniel Kahneman discusses listening to science, avoiding system noise, and the inevitability of AI over human intelligence.
From ACM Opinion
Defining a Role for AI Ethics in National Security
Mariarosaria Taddeo, an associate professor and senior research fellow at the Oxford Internet Institute and Dstl Ethics Fellow at the Alan Turing Institute, discusses...
From ACM Opinion
Stop the Emerging AI Cold War
Proliferating military artificial intelligence will leave the world less safe—so we must focus on ethics and global cooperation, argues Denise Garcia, vice-chair...
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...
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.
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.
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.
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.
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...
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.
From Communications of the ACM
Trustworthy Scientific Computing
Addressing the trust issues underlying the current limits on data sharing.
From Communications of the ACM
The 10 Best Practices for Remote Software Engineering
Focusing on the human element of remote software engineer productivity.
From ACM Opinion
Automation and the 'Winner Take Most' Effect
The threat that automation poses to humans has been greatly exaggerated, says Erik Brynjolfsson, director of the Stanford Digital Economy Lab and a senior fellow...
From Communications of the ACM
When Hackers Were Heroes
The complex legacy of Steven Levy's obsessive programmers.
From Communications of the ACM
Reflections on Black in Computing
Seeking to improve systemic fairness in the computing realm.
From Communications of the ACM
From Remote Work to Working From Anywhere
Tracing temporary work modifications resulting in permanent organizational changes.
From ACM Opinion
Devavrat Shah on Curbing Online Misinformation
MIT Professor Devavrat Shah shares his thoughts on human content moderation, recommendation algorithms, and diluting the spread of misinformation online.
From Communications of the ACM
The Transformation of Patient-Clinician Relationships with AI-based Medical Advice
A "bring your own algorithm" era in healthcare.
From Communications of the ACM