# From CERN 19,166 courses and talks. - [Les automates cellulaires pourront-ils prédire les risques biologiques et environnementaux ?](https://invisiblenetwork.ai/learn/cern/3003245): Maxence Nicolet, Mathilde Moulin and Chahinez Bouanane · CERN - [Comment créer un système d'éclairage donnat un apport optimal de lumière afin d'économiser de l'énergie et d'éclairer au mieux l'espace ?](https://invisiblenetwork.ai/learn/cern/3003242): Remy Court and others · CERN - [Profilage sur le Web: moyens employés, efficacité et enjeux](https://invisiblenetwork.ai/learn/cern/3003147): Valérian Rapillard · CERN - [Quand les fourmis font de la science](https://invisiblenetwork.ai/learn/cern/3003145): Nina Boulens · CERN - [Accidents cérébraux et plasticité cérébrale](https://invisiblenetwork.ai/learn/cern/3003244): Morgane Bovier · CERN - [Mathematics, Cryptography, Blockchains, and Cryptocurrencies. Myths and realities.](https://invisiblenetwork.ai/learn/cern/3016449): Alberto Pace · CERN - [Gravitational Waves: The Past and the Future](https://invisiblenetwork.ai/learn/cern/3011166): Jo van den Brand · CERN - [Neutrinos for Nuclear Security](https://invisiblenetwork.ai/learn/cern/3003151): Patrick Huber · CERN - [Gravitational Waves: The Present and the Future](https://invisiblenetwork.ai/learn/cern/3002884): Jo van den Brand · CERN - [RNN for stop search in ATLAS](https://invisiblenetwork.ai/learn/cern/3003038): Zulit Paola Arrubarrena Tame · CERN - [Machine Learning for the LHCb Vertex-Locator calibration](https://invisiblenetwork.ai/learn/cern/3003040): Maciej Witold Majewski · CERN - [Lund jet images from generative and cycle-consistent adversarial networks](https://invisiblenetwork.ai/learn/cern/3004657): Frederic Alexandre Dreyer · CERN - [Jet identification based on interaction networks](https://invisiblenetwork.ai/learn/cern/3002048): Eric Moreno · CERN - [Presentation](https://invisiblenetwork.ai/learn/cern/3002959): David Amorim · CERN - [Recent perspectives on network programmability and network verification](https://invisiblenetwork.ai/learn/cern/3003759): Laurent Vanbever · CERN - [Apprenticeship - 60 years of computing experience (part 1)](https://invisiblenetwork.ai/learn/cern/3002474): Ben Segal · CERN - [CERN School of Computing (20'+5')](https://invisiblenetwork.ai/learn/cern/3002403): Sebastian Lopienski · CERN - [GPUs in CMS: Status and plans (20'+5')](https://invisiblenetwork.ai/learn/cern/3002402): Danilo Piparo · CERN - [CERN Openlab (20'+5')](https://invisiblenetwork.ai/learn/cern/3002405): Alberto Di Meglio · CERN - [WLCG preparations for Run 3 and beyond (15'+5')](https://invisiblenetwork.ai/learn/cern/3002401): Ian Bird · CERN - [CERN's MAlt project (15'+5')](https://invisiblenetwork.ai/learn/cern/3001291): Tim Smith · CERN - [Reaching top precision in top quark property measurements using the ATLAS detector](https://invisiblenetwork.ai/learn/cern/3015099): Marco Vanadia · CERN - [From Demat to Remat: designing the post-digital library](https://invisiblenetwork.ai/learn/cern/3003295): Gildas Illien · CERN - [Rise of the Breaches](https://invisiblenetwork.ai/learn/cern/3003498): Troy Hunt · CERN - [CERN Tape Archive: production status and plans](https://invisiblenetwork.ai/learn/cern/3001647): Julien Leduc · CERN - [Introduction](https://invisiblenetwork.ai/learn/cern/3002152): James Purvis · CERN - [Natural Language Processing with Intel Quantum Simulator](https://invisiblenetwork.ai/learn/cern/3002145): Myles Doyle · CERN - [Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel FPGA](https://invisiblenetwork.ai/learn/cern/3002146): Sofia Vallecorsa · CERN - [How AI and DA combined with HPC shape innovation in Exascale architectures](https://invisiblenetwork.ai/learn/cern/3002151): Marie-Christine Sawley · CERN - [Simple Implementation of Quantum Bits in Silicon by Decoupling them in Space and Time](https://invisiblenetwork.ai/learn/cern/3002150): Nagi Mekhiel · CERN - [An Integrated FPGA orchestrator for seamless scalability and resource management](https://invisiblenetwork.ai/learn/cern/3016171): Elias Koromilas · CERN - [General Purpose Heterogenous Next-Generation Systems](https://invisiblenetwork.ai/learn/cern/3016261): Richard Gerber · CERN - [Characterizing Performance Benefits of HBM2 on Intel Stratix 10 FPGAs](https://invisiblenetwork.ai/learn/cern/3016176): Tiziano De Matteis and Richard Chamberlain · CERN - [Interactive, data-intensive HPC](https://invisiblenetwork.ai/learn/cern/3002119): Michael Bussmann · CERN - [Applying Vectorization to Lattice QCD Calculations](https://invisiblenetwork.ai/learn/cern/3018111): Zhong Jin and Shun Xu · CERN - [Site update: Zuse Institute Berlin](https://invisiblenetwork.ai/learn/cern/3014520): Thomas Steinke · CERN - [Hybrid-BLonD: Efficient Scale-Out of Beam Longitudinal Dynamics Simulations](https://invisiblenetwork.ai/learn/cern/3002044): Konstantinos Iliakis · CERN - [Cost-efficiency of Large-scale Electronic Structure Simulations with Intel Xeon Phi Processors](https://invisiblenetwork.ai/learn/cern/3002032): Hoon Ryu · CERN - [Optimizing Astrophysical Simulation and Data Analysis codes on Intel Architectures](https://invisiblenetwork.ai/learn/cern/3002045): Salvatore Cielo · CERN - [A journey over the memory managment stack for HPC large applications on moderne architectures](https://invisiblenetwork.ai/learn/cern/3002438): Sébastien Valat · CERN - [Persistent Memory based Key-Value Store for Data Acquisition Systems](https://invisiblenetwork.ai/learn/cern/3002690): Maciej Maciejewski · CERN - [Modernizing Legacy Codes for Next-Generation Storage Infrastructures: A Case Study of PALM on Intel DAOS](https://invisiblenetwork.ai/learn/cern/3002428): Steffen Christgau · CERN - [Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS](https://invisiblenetwork.ai/learn/cern/3002427): John Carrier · CERN - [High-Fidelity Rendering for Large-Scale Tiled Displays](https://invisiblenetwork.ai/learn/cern/3002416): Joao Barbosa · CERN - [Toward Easing the use of Optane DIMMs as Part of Heterogeneous Memory Systems](https://invisiblenetwork.ai/learn/cern/3016457): Marc Jorda · CERN - [Partitioned Interleaved Bloom filters using Optane DC Persistent Memory](https://invisiblenetwork.ai/learn/cern/3016118): Enrico Seiler · CERN - [Exploiting persistent memory for workflows and computational simulation](https://invisiblenetwork.ai/learn/cern/3016149): Adrian Jackson · CERN - [Performance and Scalability Analysis of CNN-based Deep Learning Inference in the Intel Distribution of OpenVINO Toolkit](https://invisiblenetwork.ai/learn/cern/3019005): Iosif Meyerov · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=194)