# From CERN 19,166 courses and talks. - [Cosmology and the origin of structure](https://invisiblenetwork.ai/learn/cern/3024631): Edward W Kolb and Daniel Treille · CERN - [Reliability issues at the LHC](https://invisiblenetwork.ai/learn/cern/3004940): P Kafka and James D Gillies · CERN - [Reliability issues at the LHC](https://invisiblenetwork.ai/learn/cern/3004938): P Kafka and James D Gillies · CERN - [Origins and Distribution of Life in the Universe](https://invisiblenetwork.ai/learn/cern/3022182): André Brack and Daniel Reille · CERN - [Reliability issues at the LHC](https://invisiblenetwork.ai/learn/cern/3004939): P Kafka and James D Gillies · CERN - [Reliability issues at the LHC](https://invisiblenetwork.ai/learn/cern/3004941): P Kafka and James D Gillies · CERN - [Cracking the Cipher Challenge](https://invisiblenetwork.ai/learn/cern/3006747): James D Gillies and Simon Singh · CERN - [Reliability issues at the LHC](https://invisiblenetwork.ai/learn/cern/3004937): P Kafka and James D Gillies · CERN - [Dynamics of correlations for integrable and non-integrable systems : A two levels formulation of laws of nature](https://invisiblenetwork.ai/learn/cern/3024605): Ilya Prigogine · CERN - [Superconducting materials suitable for magnets](https://invisiblenetwork.ai/learn/cern/3002779): David C Larbalestier · CERN - [Superconducting materials suitable for magnets](https://invisiblenetwork.ai/learn/cern/3002780): David C Larbalestier · CERN - [Superconducting materials suitable for magnets](https://invisiblenetwork.ai/learn/cern/3002782): David C Larbalestier · CERN - [Superconducting materials suitable for magnets](https://invisiblenetwork.ai/learn/cern/3002783): David C Larbalestier · CERN - [Superconducting materials suitable for magnets](https://invisiblenetwork.ai/learn/cern/3002781): David C Larbalestier · CERN - [CMS Software Tutorial](https://invisiblenetwork.ai/learn/cern/3007524): V Innocente · CERN - [CMS Software Tutorial 1](https://invisiblenetwork.ai/learn/cern/3007520): S Wynhoff · CERN - [CMS Software Tutorial 1](https://invisiblenetwork.ai/learn/cern/3007519): S Wynhoff · CERN - [Introduction to QCD](https://invisiblenetwork.ai/learn/cern/3024626): Bryan R Webber and P Weber · CERN - [Introduction to QCD](https://invisiblenetwork.ai/learn/cern/3024625): Bryan R Webber and P Weber · CERN - [Introduction to QCD](https://invisiblenetwork.ai/learn/cern/3024624): Bryan R Webber and P Weber · CERN - [Introduction to QCD](https://invisiblenetwork.ai/learn/cern/3024623): Bryan R Webber and P Weber · CERN - [Introduction to QCD](https://invisiblenetwork.ai/learn/cern/3024622): Bryan R Webber and P Weber · CERN - [Renewable energy policy in the EU member states and the accession states](https://invisiblenetwork.ai/learn/cern/3012648): D Reiche · CERN - [The Search For the Real Earnest Rutherford](https://invisiblenetwork.ai/learn/cern/3023962): John Campbell · CERN - [Renewable energy policy in the EU member states and the accession states](https://invisiblenetwork.ai/learn/cern/3012647): D Reiche · CERN - [Renewable energy policy in the EU member states and the accession states](https://invisiblenetwork.ai/learn/cern/3012645): D Reiche · CERN - [Renewable energy policy in the EU member states and the accession states](https://invisiblenetwork.ai/learn/cern/3012646): D Reiche · CERN - [First Thuesday - CERN, The Grid gets real](https://invisiblenetwork.ai/learn/cern/3015896): Leslie Robertson · CERN - [Highlights of the LEPTON PHOTON Conference 2003](https://invisiblenetwork.ai/learn/cern/3015691): Roger Cashmore (CERN) · CERN - [The Free Software Movement and the GNU/Linux Operating System](https://invisiblenetwork.ai/learn/cern/3014444): Richard Stallman (the Free Software Foundation) · CERN - [Celebrating CERN's discoveries and looking into the future](https://invisiblenetwork.ai/learn/cern/3002691): Sheldon Lee Glashow, Luciano Maiani and Samuel C C Ting · CERN - [Cosmological fluctuations and conservation laws](https://invisiblenetwork.ai/learn/cern/3024455): Steven Weinberg · CERN - [Space exploration - Present and future challenges](https://invisiblenetwork.ai/learn/cern/3014458): Dr. Franklin Chang-Diaz (NASA Astronaut, Director of Advanced Space Propulsion Laboratory, Houston) · CERN - [AMD's 64-bit Opteron processor](https://invisiblenetwork.ai/learn/cern/3002379): David Rich (Director of HPC and Embedded Marketing at AMD) and David Cownie (Opteron HPC Benchmarking Engineer) · CERN - [ROOT](https://invisiblenetwork.ai/learn/cern/3014438): R (CERN) Brun · CERN - [Introduction to Electronics (3/3)](https://invisiblenetwork.ai/learn/cern/3020131): C (CERN) De la Taille · CERN - [Fundamental Concepts in Particle Physics (6/6)](https://invisiblenetwork.ai/learn/cern/3008582): G (CERN) Ross · CERN - [Introduction to Monte Carlos for the LHC](https://invisiblenetwork.ai/learn/cern/3023856): Michael H Seymour · CERN - [Fundamental Concepts in Particle Physics (5/6)](https://invisiblenetwork.ai/learn/cern/3014450): G (CERN) Ross · CERN - [Fundamental Concepts in Particle Physics (4/6)](https://invisiblenetwork.ai/learn/cern/3008579): G (CERN) Ross · CERN - [Introduction to Electronics (2/3)](https://invisiblenetwork.ai/learn/cern/3001822): C (CERN) De la Taille · CERN - [Introduction to Monte Carlos for the LHC](https://invisiblenetwork.ai/learn/cern/3023855): Michael H Seymour · CERN - [Introduction to Electronics (1/3)](https://invisiblenetwork.ai/learn/cern/3013163): C (CERN) De la Taille · CERN - [Fundamental Concepts in Particle Physics (3/6)](https://invisiblenetwork.ai/learn/cern/3014440): G (CERN) Ross · CERN - [E-Science and Computer Grids](https://invisiblenetwork.ai/learn/cern/3014446): F (CERN) Grey · CERN - [Introduction to Monte Carlos for the LHC](https://invisiblenetwork.ai/learn/cern/3023854): Michael H Seymour · CERN - [Fundamental Concepts in Particle Physics (2/6)](https://invisiblenetwork.ai/learn/cern/3014455): G (CERN) Ross · CERN - [Birth of Neutrino Astrophysics](https://invisiblenetwork.ai/learn/cern/3009681): Prof. Masatoshi Koshiba (2002 Nobel Laureate in Physics) · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=31)