Driving digital innovation with CERN technologies

 

Digital solutions

Digital technologies drive almost all aspects of modern life: from basic everyday tasks like measuring the distance walked to creating positive socio-economic impact through digital twins of cities.

CERN technologies pose countless possibilities for such innovative digital solutions. The expertise and technological know-how from CERN can also be used in areas beyond high-energy physics like preventing fraud in financial markets, helping autonomous- driving vehicles make faster decisions, art restoration and digital preservation of cultural heritage, and for contributing towards a healthier and more sustainable planet.

…exploring new applications

The potential application areas of CERN technologies are obviously not limited to the ones mentioned above. Have a look at our technology portfolio - maybe any of our technologies could apply to your industry? Or maybe your company could learn from any of CERN’s areas of expertise? 

Find out more about how CERN technologies and know-how have impact across industries:

News

CERN updates its Open Hardware Licence

Version 2.0 of the CERN Open Hardware Licence has been released, introducing three variants meant to cater to different collaborative models

CERN congratulates CNAO on a world’s first proton treatment of a cardiac pathology

A cancer therapy synchrotron that CERN helped to establish has treated a patient with ventricular arrhythmia for the first time

Fifth Innovation for Change project kicks off today

Technology, business and sustainability: Innovation that can change the world

Bundesdruckerei works with CERN on future identity concepts and cryptography

Interdisciplinary research examines possible links between quantum physics, identities and trust.

Croatia becomes an Associate Member of CERN

CERN welcomes the Republic of Croatia as an Associate Member State

10 October, 2019

Infectious enthusiasm at the Open Days

75 000 visitors discovered hundreds of activities on nine CERN sites over the weekend

16 September, 2019

From capturing collisions to avoiding them

How CERN machine-learning techniques could improve autonomous vehicles