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Three Key Takeaways from Meta's Galactica AI
From ACM Opinion

Three Key Takeaways from Meta's Galactica AI

We should look at Galactica's initial failure as another scientific experiment, one that can bring us one step closer to success.

Yoshua Bengio: The Past, Present, and Future of Deep Learning
From ACM Opinion

Yoshua Bengio: The Past, Present, and Future of Deep Learning

2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field.

Building a New Economy
From Communications of the ACM

Building a New Economy: Data, AI, and Web3

How distributed technologies could return more control to users.

Can Universities Combat the 'Wrong Kind of AI'?
From Communications of the ACM

Can Universities Combat the 'Wrong Kind of AI'?

Seeking an artificial intelligence reset.

The Four Horsemen of an Ailing Software Project
From Communications of the ACM

The Four Horsemen of an Ailing Software Project

Don't let the pale rider catch you with an exception.

The Context Problem in Artificial Intelligence
From Communications of the ACM

The Context Problem in Artificial Intelligence

The artificial intelligence design challenge of teaming humans and machines is difficult because machines cannot read the context of use.

Why Synthetic Data Is Key to Paving the Way for Smart Cities
From ACM Opinion

Why Synthetic Data Is Key to Paving the Way for Smart Cities

Synthetic data helps in projects that place heavy demand on data.

 Why Don't Robots Have Rights? A Lawyer's Response
From ACM Opinion

Why Don't Robots Have Rights? A Lawyer's Response

Robots are hardware and software packages that lack a nature or any abilities outside of whatever their designers imagine.

 Why Don't Robots Have Rights?
From ACM Opinion

Why Don't Robots Have Rights?

In the future, people may look back with horror at how humans treated AI in the 21st century.

How AI Is Generating a Tech Industry Upturn
From ACM Opinion

How AI Is Generating a Tech Industry Upturn

We have a whole new era of exuberance on our hands.

Software Engineering in Physics Research
From ACM Opinion

Software Engineering in Physics Research

A discussion on how physics research scientists use software.

Scientists Increasingly Cannot Explain How AI Works
From ACM Opinion

Scientists Increasingly Cannot Explain How AI Works

AI researchers are warning developers to focus more on how and why a system produces certain results than the fact that the system can accurately and rapidly produce...

AI in Medicine Is Overhyped
From ACM Opinion

AI in Medicine Is Overhyped

AI models for healthcare that predict disease are not as accurate as reports might suggest.

AI Model Transferability in Healthcare: A Sociotechnical Perspective
From ACM Opinion

AI Model Transferability in Healthcare: A Sociotechnical Perspective

To realize the promised benefits of applying AI and ML models at scale, a roadmap of the challenges and potential solutions to sociotechnical transferability is...

The Computer Scientist Who Is Boosting Privacy on the Internet
From ACM Opinion

The Computer Scientist Who Is Boosting Privacy on the Internet

Harry Halpin has helped create a new kind of network that might enable more private Internet conversations.

AI and ML Observability
From ACM Opinion

AI and ML Observability

Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.

Rethinking Silicon Valley
From Communications of the ACM

Rethinking Silicon Valley: Stewart Brand's Lost Journal

Discovering a hidden chapter in computing history.

Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success
From Communications of the ACM

Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success

Android and iOS privacy labels confuse developers and end users.

AI Should Supercharge Workers, not Compete with Them
From ACM Opinion

AI Should Supercharge Workers, not Compete with Them

The economy could get a boost if machine-learning engineers switched from copying human abilities to augmenting them.
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