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97 Things Every Java Developer Should Know
From ACM Opinion

97 Things Every Java Developer Should Know

Book authors discuss compilation featuring expert advice from Java leaders and practitioners.

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.

Lessons From the Loo
From Communications of the ACM

Lessons From the Loo

Illustrating privacy concepts with potty talk.

Responsible Computing During COVID-19 and Beyond
From Communications of the ACM

Responsible Computing During COVID-19 and Beyond

Navigating the ethical and societal impacts of technologies.

The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
From Communications of the ACM

The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)

Differential privacy is not a silver bullet for all privacy problems.

The Brutal Truth About Bitcoin
From ACM Opinion

The Brutal Truth About Bitcoin

Are cryptocurrencies the wave of the future and should you be using and investing in them?

As Science Advances, Does Ockham's Razor Still Apply?
From ACM Opinion

As Science Advances, Does Ockham's Razor Still Apply?

The notion that the simpler explanation is usually right has been useful for centuries. New science may change that.

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.

Reward Is Enough for Generalized AI
From ACM Opinion

Reward Is Enough for Generalized AI

The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.

Machine Learning Security Needs New Perspectives and Incentives
From ACM Opinion

Machine Learning Security Needs New Perspectives and Incentives

Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...

A Number Theorist Who Connects Math to Other Creative Pursuits
From ACM Opinion

A Number Theorist Who Connects Math to Other Creative Pursuits

Jordan Ellenberg calls on mathematics to explore everything from Internet fads to voting rights.

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.

Collusion Rings Threaten the Integrity of Computer Science Research
From Communications of the ACM

Collusion Rings Threaten the Integrity of Computer Science Research

Experiences discovering attempts to subvert the peer-review process.

Aversion to Versions
From Communications of the ACM

Aversion to Versions

Code needs to run anywhere as long as the necessary dependencies can be resolved.

The Risks of Election Believability (or Lack Thereof)
From Communications of the ACM

The Risks of Election Believability (or Lack Thereof)

With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results?

Defining a Role for AI Ethics in National Security
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...

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...
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