# From CERN

19,166 courses and talks.

- [Proposed Timing Detectors for ATLAS and CMS](https://invisiblenetwork.ai/learn/cern/3012695): Lindsey Gray · CERN
- [ATLAS Upgrades Plans](https://invisiblenetwork.ai/learn/cern/3012446): Kevin Frank Einsweiler · CERN
- [Plans for the evaluation of the TID tolerance in 65nm and below](https://invisiblenetwork.ai/learn/cern/3012569): Federico Faccio · CERN
- [Serial Links Beyond 10 Gbps](https://invisiblenetwork.ai/learn/cern/3016302): Paulo Rodrigues Simoes Moreira · CERN
- [Synthetic biology: engineering molecular computers](https://invisiblenetwork.ai/learn/cern/3011011): Konstantinos Samaras-Tsakiris · CERN
- [UX: Memory and usability](https://invisiblenetwork.ai/learn/cern/3010902): Bas Wallet · CERN
- [The smallest possible thermal machines and the foundations of thermodynamics](https://invisiblenetwork.ai/learn/cern/3010872): Sandu Popescu · CERN
- [Scaling the AI Hierarchy of Needs with Hopsworks](https://invisiblenetwork.ai/learn/cern/3010261): Jim Dowling · CERN
- [Assemblée générale](https://invisiblenetwork.ai/learn/cern/3010233): Morna Robillard and others · CERN
- [Inner Tracking Detector Upgrades](https://invisiblenetwork.ai/learn/cern/3010104): Silas Kurt Grossberndt · CERN
- [High Precision Transverse Momentum Measurements of W Bosons](https://invisiblenetwork.ai/learn/cern/3010102): Galen Drew Eppler · CERN
- [BIS78 Muon Spectrometer Vertical Slice](https://invisiblenetwork.ai/learn/cern/3012627): Alexis Mulski · CERN
- [ATLAS Muon Track Reconstruction Algorithm](https://invisiblenetwork.ai/learn/cern/3010100): Claire Savard · CERN
- [Hyy Couplings Background Analysis](https://invisiblenetwork.ai/learn/cern/3010106): Noah Alexander Zipper · CERN
- [Machine Learning and Deep Neural Networks](https://invisiblenetwork.ai/learn/cern/3010107): Guillermo Antonio Fidalgo Rodriguez · CERN
- [Multivariate Analysis Techniques for charm reconstruction with ALICE](https://invisiblenetwork.ai/learn/cern/3016187): Chiara Zampolli · CERN
- [Direct Learning of Systematics-Aware Summary Statistics](https://invisiblenetwork.ai/learn/cern/3009887): Pablo De Castro Manzano · CERN
- [Fisher information metrics for binary classifier evaluation and training](https://invisiblenetwork.ai/learn/cern/3009531): Andrea Valassi · CERN
- [Deciphering jet quenching with JEWEL](https://invisiblenetwork.ai/learn/cern/3009890): Korinna Christine Zapp · CERN
- [Drones: Making faster and smarter decisions with software triggers](https://invisiblenetwork.ai/learn/cern/3009900): Sean Benson · CERN
- [Machine learning in jet physics](https://invisiblenetwork.ai/learn/cern/3009532): Sreedevi Narayana Varma · CERN
- [DeepJet: a portable ML environment for HEP](https://invisiblenetwork.ai/learn/cern/3010022): swapneel mehta and Swapneel Sundeep Mehta · CERN
- [Close-out and challenge results](https://invisiblenetwork.ai/learn/cern/3009896): Steven Randolph Schramm and others · CERN
- [Classification of decays involving variable decay chains with convolutional architectures](https://invisiblenetwork.ai/learn/cern/3009901): Justin Tan · CERN
- [Recursive Neural Networks in Quark/Gluon Tagging](https://invisiblenetwork.ai/learn/cern/3009889): Taoli Cheng · CERN
- [What is the machine learning.](https://invisiblenetwork.ai/learn/cern/3009512): Bryan Ostdiek · CERN
- [Tutorial: Keras/TensorFlow](https://invisiblenetwork.ai/learn/cern/3007392): Stefan Wunsch · CERN
- [New CMS measurements of Higgs boson production and decay properties](https://invisiblenetwork.ai/learn/cern/3009442): Andrew Gilbert · CERN
- [Particle identification at LHCb: new calibration techniques and machine learning classification algorithms](https://invisiblenetwork.ai/learn/cern/3009527): Miriam Lucio Martinez · CERN
- [Generative Models for Fast Cluster Simulations in the TPC for the ALICE Experiment](https://invisiblenetwork.ai/learn/cern/3009443): Kamil Rafal Deja · CERN
- [Adversarial Tuning of Perturbative Parameters in Non-Differentiable Physics Simulators](https://invisiblenetwork.ai/learn/cern/3011350): Michela Paganini · CERN
- [Interpreting Deep Neural Networks and their Predictions](https://invisiblenetwork.ai/learn/cern/3009509): Wojciech Samek · CERN
- [Fast calorimeter simulation in LHCb](https://invisiblenetwork.ai/learn/cern/3009441): Egor Zakharov · CERN
- [A Deep Learning tool for fast simulation](https://invisiblenetwork.ai/learn/cern/3009891): Gul Rukh Khattak · CERN
- [Studies to mitigate difference between real data and simulation for jet tagging](https://invisiblenetwork.ai/learn/cern/3019261): Oliver Buchmuller and others · CERN
- [Identifying the relevant dependencies of the neural network response on characteristics of the input space](https://invisiblenetwork.ai/learn/cern/3009525): Stefan Wunsch · CERN
- [Joint Wasserstein GAN contribution](https://invisiblenetwork.ai/learn/cern/3009938): Jonas Glombitza, Thorben Quast and David Josef Schmidt · CERN
- [Final presentation Team MedSquad](https://invisiblenetwork.ai/learn/cern/3009534): Daniel Lanza Garcia · CERN
- [Final presentations Team HADDPHI](https://invisiblenetwork.ai/learn/cern/3009489): Balazs Ujvari · CERN
- [DarkMachines](https://invisiblenetwork.ai/learn/cern/3008490): Tommaso Dorigo · CERN
- [Award Fest and Ceremony](https://invisiblenetwork.ai/learn/cern/3009503): Rita Ferreira and Ranveig Strom · CERN
- [Surrogate Models for Fun and Profit](https://invisiblenetwork.ai/learn/cern/3009492): Andrey Ustyuzhanin · CERN
- [Overview of ML in HEP](https://invisiblenetwork.ai/learn/cern/3009330): Luke Percival De Oliveira · CERN
- [HL-LHC tracking challenge](https://invisiblenetwork.ai/learn/cern/3007030): Jean-Roch Vlimant · CERN
- [Presentation MassChallenge](https://invisiblenetwork.ai/learn/cern/3009488): Thierry Duvanel · CERN
- [Presentation of CERN Knowledge Transfer](https://invisiblenetwork.ai/learn/cern/3009502): Thierry Lagrange · CERN
- [Presentation ThePort](https://invisiblenetwork.ai/learn/cern/3000051): Karolos Potamianos · CERN
- [Tutorial: TMVA](https://invisiblenetwork.ai/learn/cern/3009501): Lorenzo Moneta · CERN

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