Pubblicato il 23/09/2012Read time: 1 min

Columbia University, the University of Maryland, and the Smithsonian Institution are working on visual recognition software to help identify species from photographs. Leafsnap is the first in a series of electronic field guides being developed to demonstrate this new technology.

[video:http://www.youtube.com/watch?v=nX23TuwP0tI]

This free mobile app helps identify tree species from photographs of their leaves. Leafsnap currently includes the trees of the Northeast and will soon grow to cover the trees of the entire continental United States.

The realization of Leafsnap was possible thanks to the collaboration between Peter Belhumeur (Columbia University), David Jacobs (University of Maryland), and John Kress (Smithsonian Institution).

[video:http://www.youtube.com/watch?v=KCpR4JTEy4c]

The high quality photographs on the website leafsnap.com and in the app were made by the the not-for-profit nature photography group Finding Species.

[video:http://www.youtube.com/watch?v=k02C7p7mQ_c]

Previews of the app:

leafsnap

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Why have neural networks won the Nobel Prizes in Physics and Chemistry?

di Chiara Sabelli

Pubblicato il 15/10/2024

This year, Artificial Intelligence played a leading role in the Nobel Prizes for Physics and Chemistry. More specifically, it would be better to say machine learning and neural networks, thanks to whose development we now have systems ranging from image recognition to generative AI like Chat-GPT. In this article, Chiara Sabelli tells the story of the research that led physicist and biologist John J. Hopfield and computer scientist and neuroscientist Geoffrey Hinton to lay the foundations of current machine learning.

Image modified from the article "Biohybrid and Bioinspired Magnetic Microswimmers" https://onlinelibrary.wiley.com/doi/epdf/10.1002/smll.201704374

Physics

The 2024 Nobel Prize in Physics was awarded to John J. Hopfield, an American physicist and biologist from Princeton University, and to Geoffrey Hinton, a British computer scientist and neuroscientist from the University of Toronto, for utilizing tools from statistical physics in the development of methods underlying today's powerful machine learning technologies.

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