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Deep Learning Can't Be Trusted
From ACM Opinion

Deep Learning Can't Be Trusted

Brain modeling pioneer Stephen Grossberg explains why his ART model is better

The Benefits of Rust
From ACM Opinion

The Benefits of Rust

An in-depth discussion about the virtue of Rust, its future, and more

What Does It Mean for AI to Understand?
From ACM Opinion

What Does It Mean for AI to Understand?

It's simple enough for AI to seem to comprehend data, but devising a true test of a machine's knowledge has proved difficult

The Growing Cost of Deep Learning for Source Code
From Communications of the ACM

The Growing Cost of Deep Learning for Source Code

Attempting to mitigate problems associated with the trend toward massive dataset scaling.

The Long Road Ahead to Transition to Post-Quantum Cryptography
From Communications of the ACM

The Long Road Ahead to Transition to Post-Quantum Cryptography

Anticipating the output of the competition for new cryptographic algorithms.

How Much Has Quantum Computing Actually Advanced?
From ACM Opinion

How Much Has Quantum Computing Actually Advanced?

John Martinis, former chief architect of Google Sycamore, offers a measured perspective on quantum's progress

Why We Must Rethink AI Benchmarks
From ACM Opinion

Why We Must Rethink AI Benchmarks

While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results

What Every Engineer and Computer Scientist Should Know
From Communications of the ACM

What Every Engineer and Computer Scientist Should Know: The Biggest Contributor to Happiness

Seeking the fundamental factors instrumental to happiness.

Patent Absurdity
From Communications of the ACM

Patent Absurdity

A case when ignorance is the best policy.

Accelerator-Level Parallelism
From Communications of the ACM

Accelerator-Level Parallelism

Charging computer scientists to develop the science needed to best achieve the performance and cost goals of accelerator-level parallelism hardware and software...

'In Situ' Data Rights
From Communications of the ACM

'In Situ' Data Rights

Improving on data portability.

Self-Supervised Learning and Large Language Models
From ACM Opinion

Self-Supervised Learning and Large Language Models

Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models

'Yeah, We're Spooked', Says Expert about AI's Potential Impact
From ACM Opinion

'Yeah, We're Spooked', Says Expert about AI's Potential Impact

Professor Stuart Russell says field of AI needs to grow up quickly to ensure humans remain in control

Anne Carpenter: Her Machine Learning Tools Pull Insights from Cell Images
From ACM Opinion

Anne Carpenter: Her Machine Learning Tools Pull Insights from Cell Images

Computational biologist brings the power of machine learning to researchers seeking answers in mountains of cell images

Strong AI Requires Autonomous Building of Composable Models
From ACM Opinion

Strong AI Requires Autonomous Building of Composable Models

Models built by AI must encode the fundamental patterns of experience

Jeannette Wing: How Computing Has Transformed
From ACM Opinion

Jeannette Wing: How Computing Has Transformed

Data science expert talks about how trustworthy AI and causal reasoning can help society solve real-world problems

We Are Not Users
From Communications of the ACM

We Are Not Users: Gaining Control Over New Technologies

Seeking a more selective approach to technology usage.

Shaping Ethical Computing Cultures
From Communications of the ACM

Shaping Ethical Computing Cultures

Lessons from the recent past.

Privacy Engineering Superheroes
From Communications of the ACM

Privacy Engineering Superheroes

Privacy engineers are essential to both preventing and responding to organizational privacy problems.

Moving Towards Reproducible Machine Learning
From ACM Opinion

Moving Towards Reproducible Machine Learning

Reporting machine learning-based research can help to improve transparency and reproducibility
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