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Neural Networks Need Data to Learn. Even If It’s Fake.

June 16, 2023

Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems.

Sparse Networks Come to the Aid of Big Physics

June 8, 2023

A novel type of neural network is helping physicists with the daunting challenge of data analysis.

Data Compression Drives the Internet. Here’s How It Works.

May 31, 2023

One student’s desire to get out of a final exam led to the ubiquitous algorithm that shrinks data without sacrificing information.

Some Neural Networks Learn Language Like Humans

May 22, 2023

Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.

Secret Messages Can Hide in AI-Generated Media

May 18, 2023

In steganography, an ordinary message masks the presence of a secret communication. Humans can never do it perfectly, but a new study shows it’s possible for machines.

Chatbots Don’t Know What Stuff Isn’t

May 12, 2023

Today’s language models are more sophisticated than ever, but they still struggle with the concept of negation. That’s unlikely to change anytime soon.

The Most Important Machine That Was Never Built

May 3, 2023

When he invented Turing machines in 1936, Alan Turing also invented modern computing.

Q&A

The Computer Scientist Peering Inside AI’s Black Boxes

April 27, 2023

Cynthia Rudin wants machine learning models, responsible for increasingly important decisions, to show their work.

The Number 15 Describes the Secret Limit of an Infinite Grid

April 20, 2023

The “packing coloring” problem asks how many numbers are needed to fill an infinite grid so that identical numbers never get too close to one another. A new computer-assisted proof finds a surprisingly straightforward answer.

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