We care about your data, and we'd like to use cookies to give you a smooth browsing experience. Please agree and read more about our privacy policy.
Quanta Homepage
  • Physics
  • Mathematics
  • Biology
  • Computer Science
  • Topics
  • Archive

What's up in

neural networks

Latest Articles

neural networks

The Physical Process That Powers a New Type of Generative AI

By Steve Nadis
September 19, 2023
Comment
Read Later

Some modern image generators rely on the principles of diffusion to create images. Alternatives based on the process behind the distribution of charged particles may yield even better results.

Q&A

Why Mathematical Proof Is a Social Compact

By Jordana Cepelewicz
August 31, 2023
Comment
Read Later

Number theorist Andrew Granville on what mathematics really is — and why objectivity is never quite within reach.

artificial intelligence

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

By Amos Zeeberg
June 16, 2023
Comment
Read Later

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

A robot hand plucks a puzzle piece with a particle from a mostly empty puzzle.
neural networks

Sparse Networks Come to the Aid of Big Physics

By Steve Nadis
June 8, 2023
Comment
Read Later

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

machine learning

Some Neural Networks Learn Language Like Humans

By Steve Nadis
May 22, 2023
Comment
Read Later

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

information theory

Secret Messages Can Hide in AI-Generated Media

By Stephen Ornes
May 18, 2023
Comment
Read Later

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.

machine learning

Chatbots Don’t Know What Stuff Isn’t

By Max G. Levy
May 12, 2023
Comment
Read Later

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.

Q&A

The Computer Scientist Peering Inside AI’s Black Boxes

By Allison Parshall
April 27, 2023
Comment
Read Later

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

machine learning

A New Approach to Computation Reimagines Artificial Intelligence

By Anil Ananthaswamy
April 13, 2023
Comment
Read Later

By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.


Previous
  • 1
  • 2
  • 3
  • 4
  • ...
  • 9
Next
Follow Quanta
Facebook
Facebook

Twitter
Twitter

Youtube
YouTube

Instagram
Instagram

RSS
RSS

Newsletter

Past Month

Most Read Articles

This Data is Current Loading...
This Data is Current Loading...
This Data is Current Loading...
The Quanta Newsletter

Get highlights of the most important news delivered to your email inbox

Recent newsletters
Quanta Homepage
Facebook
Twitter
Youtube
Instagram

  • About Quanta
  • Archive
  • Contact Us
  • Terms & Conditions
  • Privacy Policy
  • Simons Foundation
All Rights Reserved © 2023