fbpx Discover a wealth of NASA information on your phone | Science in the net
  1. Discover a wealth of NASA information on your phone
  2. Revisions
  3. Discover a wealth of NASA information on your phone

Discover a wealth of NASA information on your phone

di Emanuela Clavarino
Pubblicato il 24/02/2012Read time: 1 min
Space

The NASA App collects, customizes and delivers an extensive selection of dynamically updated mission information, images and videos and Twitter feeds from various online NASA sources in a mobile package.
WiFi, 3G or Edge network connection required.

NASA app for iPhone 

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

Nasa app 1 Nasa app 2

NASA app for ANDROID

[video:http://www.youtube.com/watch?v=V7MIOgiTVZA]

Nasa app android 1 Nasa app android 3 Nasa app android 2 Nasa app android 4

NASA app HD for iPad

[video:http://www.youtube.com/watch?v=VAs8gbb3vR4]

Nasa app iPad

Frequently Asked Questions

Another (new) app from NASA to be considered is the Meteor Counter.

[video:http://www.youtube.com/watch?v=etEIBjh2dKg]

NASA is looking to skywatchers for help studying incoming objects. While giving users information about meteor showers, the app can send info back to NASA about the brightness and location of shooting stars (only for Apple users). 


Scienza in rete è un giornale senza pubblicità e aperto a tutti per garantire l’indipendenza dell’informazione e il diritto universale alla cittadinanza scientifica. Contribuisci a dar voce alla ricerca sostenendo Scienza in rete. In questo modo, potrai entrare a far parte della nostra comunità e condividere il nostro percorso. Clicca sul pulsante e scegli liberamente quanto donare! Anche una piccola somma è importante. Se vuoi fare una donazione ricorrente, ci consenti di programmare meglio il nostro lavoro e resti comunque libero di interromperla quando credi.


prossimo articolo

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.