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'Video Games Are for Boys'
From ACM Opinion

'Video Games Are for Boys'

Hopscotch app co-founder Samantha John discusses her journey from avoiding video games to helping kids create them.

Quantifying Computing Power and Innovation
From ACM Opinion

Quantifying Computing Power and Innovation

Rapid increases in chip speed and power have fueled innovation in many industries, but the future trajectory of that progress may be in jeopardy.

Tech Cos. Silent on Data Privacy since Roe v. Wade Reversal
From ACM Opinion

Tech Cos. Silent on Data Privacy since Roe v. Wade Reversal

Tech companies must, at the very least, communicate policies and practices to consumers.

Yann LeCun's Bold New Vision for the Future of AI
From ACM Opinion

Yann LeCun's Bold New Vision for the Future of AI

One of deep learning's godfathers pulls together old ideas to sketch out a fresh path for AI.

Semiconductor Dependency Imperils American Security
From ACM Opinion

Semiconductor Dependency Imperils American Security

The U.S. Innovation and Competition Act is only the first step in preventing Chinese dominance.

Words Matter
From Communications of the ACM

Words Matter

Some jargon can be offensive to newcomers and unintentionally shape our thoughts.

Algorithms with Predictions
From Communications of the ACM

Algorithms with Predictions

Seeking a new approach that goes beyond worst-case analysis.

Cookie Monster
From Communications of the ACM

Cookie Monster

Inscrutable cookie banners torment users while failing to inform consent.

The Future of Information Work
From Communications of the ACM

The Future of Information Work

Considering the recent effects of remote work on network structure.

Apple's Challenge to Virtualization Software
From Communications of the ACM

Apple's Challenge to Virtualization Software

Is it okay for security researchers to virtualize software to look for vulnerabilities?

The Computer Scientist Who Parlays Failures into Breakthroughs
From ACM Opinion

The Computer Scientist Who Parlays Failures into Breakthroughs

An interview with Yale University Sterling Professor of Computer Science Daniel Spielman.

Intro to Model-Free and Model-Based Reinforcement Learning
From ACM Opinion

Intro to Model-Free and Model-Based Reinforcement Learning

Neuroscientist and author Daeyeol Lee talks reinforcement learning in humans and animals, AI and natural intelligence, and more.

Testing in Python with pytest
From ACM Opinion

Testing in Python with pytest

Software engineer discusses the popularity and use of pytest for Python testing.

Musk Will Take Questions from Twitter Employees—Twitter Should Answer His
From ACM Opinion

Musk Will Take Questions from Twitter Employees—Twitter Should Answer His

The company risks losing the trust of users and investors if it does not tackle the issue of bots, spam, and fake accounts.

Crypto Is Crashing Again but Blockchain Will Survive
From ACM Opinion

Crypto Is Crashing Again but Blockchain Will Survive

The practical, real-world work of developing blockchain technology will keep on going, independent of market histrionics.

'Sentience' Is the Wrong Discussion to Have on AI Right Now
From ACM Opinion

'Sentience' Is the Wrong Discussion to Have on AI Right Now

A more important conversation would be one about human compatibility and trust.

Google's 'Sentient' Chatbot Is Our Self-Deceiving Future
From ACM Opinion

Google's 'Sentient' Chatbot Is Our Self-Deceiving Future

The next generation of AI will put the pathetic fallacy on steroids.

Science Needs to Shrink Its Carbon Footprint
From ACM Opinion

Science Needs to Shrink Its Carbon Footprint

Greenhouse gas emissions from research damage the climate.

Human-Like Programs Abuse Our Empathy
From ACM Opinion

Human-Like Programs Abuse Our Empathy

It is easy to be fooled by the mimicry, but consumers need transparency about how such systems are used.

It's Time for AI to Retire the Turing Test
From ACM Opinion

It's Time for AI to Retire the Turing Test

The Turing Test's most troubling legacy is an ethical one: It is fundamentally about deception.
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