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Interpretable Machine Learning
From ACM Opinion

Interpretable Machine Learning

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

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.

Security by Labeling
From Communications of the ACM

Security by Labeling

Protecting and empowering the digital consumer.

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.

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.

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.

AI Education and Research
From ACM Opinion

AI Education and Research

An interview with Grid.ai's Sebastian Raschka.

The Age of Algorithmic Anxiety
From ACM Opinion

The Age of Algorithmic Anxiety

Interacting online today means being besieged by system-generated recommendations, but do we want what the machines tell us we want?

Artificial Creativity?
From ACM Opinion

Artificial Creativity?

Models such as DALL-E dissociate ideation from implementation, but do we care?

When Should a Black Box Be Transparent?
From Communications of the ACM

When Should a Black Box Be Transparent?

When is a replacement not a replacement?

An Interview with Dana Scott
From Communications of the ACM

An Interview with Dana Scott

ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.

An Interview with Dana Scott
From Communications of the ACM

An Interview with Dana Scott

ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.

Transforming Science through Cyberinfrastructure
From Communications of the ACM

Transforming Science through Cyberinfrastructure

NSF's vision for the U.S. cyberinfrastructure ecosystem for science and engineering in the 21st century.

Matthew Ball on the Metaverse
From ACM Opinion

Matthew Ball on the Metaverse

Leading metaverse theorist shares his thoughts on the sudden rise of the concept, its utility for the enterprise, and what we still get wrong.

AI Researchers Building Surveillance Tech and Deep Fakes Resist Ethical Concerns
From ACM Opinion

AI Researchers Building Surveillance Tech and Deep Fakes Resist Ethical Concerns

The computer vision research community is behind on AI ethics, but it is not just a research problem.

Should Machines Replace Mathematicians?
From ACM Opinion

Should Machines Replace Mathematicians?

A "replication crisis" in mathematics raises questions about the purpose of knowledge.

The Latin of Software Code Is Thriving
From ACM Opinion

The Latin of Software Code Is Thriving

Next time you laugh at musty old tech, remember that new technologies are often built on it.
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