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Interpretable Machine Learning
From ACM Opinion

Interpretable Machine Learning

A conversation with Been Kim, staff research scientist at Google Brain.

Let Us Not Put All Our Eggs in One Basket
From Communications of the ACM

Let Us Not Put All Our Eggs in One Basket

Toward new research directions in computer science.

On the Model of Computation: Counterpoint
From Communications of the ACM

On the Model of Computation: Counterpoint: Parallel Programming Wall and Multicore Software Spiral: Denial Hence Crisis

Parallel programming wall and multicore software spiral: Denial hence crisis.

On the Model of Computation: Point
From Communications of the ACM

On the Model of Computation: Point: We Must Extend Our Model of Computation to Account for Cost and Location

We must extend our model of computation to account for cost and location.

The Atlas Milestone
From Communications of the ACM

The Atlas Milestone

Celebrating virtual memory, which has made such a difference in how we approach programming, memory management, and secure computing.

Security by Labeling
From Communications of the ACM

Security by Labeling

Protecting and empowering the digital consumer.

These Are Not the Apes You Are Looking For
From Communications of the ACM

These Are Not the Apes You Are Looking For

Considering copyright licensing issues involving non-fungible tokens to manage creative works.

Recent Dip in Chip Demand Will Not Doom CHIPS-Plus Act
From ACM Opinion

Recent Dip in Chip Demand Will Not Doom CHIPS-Plus Act

However, critics still have plenty of reasons to be skeptical about the subsidies.

The U.S. Needs Its Own Chips
From ACM Opinion

The U.S. Needs Its Own Chips

Regardless of what happens between Taiwan and China, the U.S. needs to be prepared.

The Computer Scientist Challenging AI to Learn Better
From ACM Opinion

The Computer Scientist Challenging AI to Learn Better

Christopher Kanan is building algorithms that can continuously learn over time—the way people do.

Can Neural Networks Learn Better than Human Neurons?
From ACM Opinion

Can Neural Networks Learn Better than Human Neurons?

When AI programmers stop trying to copy the human neuron, neural networks make much better progress.

Why Can't Tech Fix Its Gender Problem?
From ACM Opinion

Why Can't Tech Fix Its Gender Problem?

A new generation of tech activists, organizers, and whistleblowers, most of whom are female, non-white, gender-diverse, or queer may bring change.

Meta's Message Encryption Was Built to Fail
From ACM Opinion

Meta's Message Encryption Was Built to Fail

Chat between a teen and her mom about an alleged abortion helped police build their case.

AI Is Transforming How We Bank
From ACM Opinion

AI Is Transforming How We Bank

Regulators need help to keep up.

Social Media Is Polluting Society
From ACM Opinion

Social Media Is Polluting Society

Moderation alone will not fix the problem.

How to Solve AI's 'Common-Sense' Problem
From ACM Opinion

How to Solve AI's 'Common-Sense' Problem

AI systems without common sense will make mistakes when they reach the limits of where they've been trained.

Virtual Reality Stinks Because It Does Not Smell
From ACM Opinion

Virtual Reality Stinks Because It Does Not Smell

For VR to feel truly immersive, it needs to start stinking it up.

Democratizing LLMs Needs a Revolution in AI Hardware
From ACM Opinion

Democratizing LLMs Needs a Revolution in AI Hardware

Hardware barriers must be overcome to make LLMs available to a broader audience.

AI Education and Research
From ACM Opinion

AI Education and Research

An interview with Grid.ai's Sebastian Raschka.

There Are Too Few Women in Computer Science and Engineering
From ACM Opinion

There Are Too Few Women in Computer Science and Engineering

The problem is not disinterest; it is the culture of these fields and how they exclude women and girls.
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