fbpx Creatures of Light | Science in the net

Creatures of Light

Read time: 1 min

[video:http://www.youtube.com/watch?v=NW1NZNkF8zU]

This companion app for the popular new exhibition "Creatures of Light: Nature's Bioluminescence" offers a close look at some of the extraordinary organisms that produce light.

[video:http://www.youtube.com/watch?v=Inc5ULYEIVw]

Enjoy interactive animations, photo galleries, and videos that reveal the beauty of this amazing natural phenomenon, how it works, and how scientists study it. Each chapter of the app, which is adapted from the iPad content featured throughout the exhibition gallery, is set to a symphonic soundtrack composed exclusively for Creatures of Light. 

[video:http://www.youtube.com/watch?v=X4ylakY7YBA]

The American Museum of Natural History is one of the world's preeminent scientific and cultural institutions. Since its founding in 1869, the Museum has advanced its global mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition. The Museum is renowned for its exhibitions and scientific collections, which serve as a field guide to the entire planet and present a panorama of the world's cultures.

Anteprime dell'app:

amnh

amnh

amnh

amnh

Premio giovani ricercatrici e ricercatori


Il Gruppo 2003 per la ricerca scientifica indice la quarta edizione del "Premio giovani ricercatrici e ricercatori edizione 2025" per promuovere l'attività di ricerca e richiamare l'attenzione delle istituzioni e dell'opinione pubblica sulle nuove generazioni di scienziate e scienziati.



prossimo articolo

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

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

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.