Join the conversation

Join the community of Machine Learners and AI enthusiasts.

Sign Up
fdaudens 
posted an update Oct 8
Post
3017
The Nobel Prize background for Hopfield and Hinton's work on neural networks is pure gold. It's a masterclass in explaining AI basics.

Key takeaways from the conclusion:
- ML applications are expanding rapidly. We're still figuring out which will stick.
- Ethical discussions are crucial as the tech develops.
- Physics 🤝 AI: A two-way street of innovation.

Some mind-blowing AI applications in physics:
- Discovering the Higgs particle
- Cleaning up gravitational wave data
- Hunting exoplanets
- Predicting molecular structures
- Designing better solar cells

We're just scratching the surface. The interplay between AI and physics is reshaping both fields.

Bonus: The illustrations accompanying the background document are really neat. (Credit: Johan Jarnestad/The Royal Swedish Academy of Sciences)

#AI #MachineLearning #Physics #Ethics #Innovation

Excellent post Florent. Specially the graphic examples you provided.

Stefan Smiljkovic
Founder of https://automatio.ai