# From CERN 19,166 courses and talks. - [Aspects of Feynman Integrals -- Lecture 3](https://invisiblenetwork.ai/learn/cern/3008941): Erik Panzer · CERN - [Modern Techniques for Multi-loop Amplitudes -- Lecture 3](https://invisiblenetwork.ai/learn/cern/3008769): Vasily Sotnikov · CERN - [Aspects of Feynman Integrals -- Lecture 1](https://invisiblenetwork.ai/learn/cern/3008766): Erik Panzer · CERN - [On-Shell Methods for Tree-Level Amplitudes -- Lecture 1](https://invisiblenetwork.ai/learn/cern/3008774): Clifford Cheung · CERN - [The Non-Perturbative S-Matrix Bootstrap -- Lecture 3](https://invisiblenetwork.ai/learn/cern/3008758): Alexander Zhiboedov · CERN - [The Non-Perturbative S-Matrix Bootstrap -- Lecture 4](https://invisiblenetwork.ai/learn/cern/3008770): Alexander Zhiboedov · CERN - [The Non-Perturbative S-Matrix Bootstrap -- Lecture 5](https://invisiblenetwork.ai/learn/cern/3017928): Alexander Zhiboedov · CERN - [Positive Geometries for Scattering Amplitudes -- Lecture 3](https://invisiblenetwork.ai/learn/cern/3017923): Livia Ferro · CERN - [GPU programming](https://invisiblenetwork.ai/learn/cern/3008752): Stephan Hageboeck · CERN - [Positive Geometries for Scattering Amplitudes -- Lecture 4](https://invisiblenetwork.ai/learn/cern/3017925): Livia Ferro · CERN - [Positive Geometries for Scattering Amplitudes -- Lecture 5](https://invisiblenetwork.ai/learn/cern/3008768): Livia Ferro · CERN - [Positive Geometries for Scattering Amplitudes -- Lecture 1](https://invisiblenetwork.ai/learn/cern/3008627): Livia Ferro · CERN - [Modern Techniques for Multi-loop Amplitudes -- Lecture 2](https://invisiblenetwork.ai/learn/cern/3017920): Vasily Sotnikov · CERN - [Applications of Quantum Computing: Quantum Machine Learning, Optimization and CERN use-cases](https://invisiblenetwork.ai/learn/cern/3013319): Carla Sophie Rieger · CERN - [Modern Techniques for Multi-loop Amplitudes -- Lecture 1](https://invisiblenetwork.ai/learn/cern/3008754): Vasily Sotnikov · CERN - [Quantum Kernel Methods (hands-on on Quask)](https://invisiblenetwork.ai/learn/cern/3008646): Roman Luca Wixinger and Francesco Di Marcantonio · CERN - [Positive Geometries for Scattering Amplitudes -- Lecture 2](https://invisiblenetwork.ai/learn/cern/3008652): Livia Ferro · CERN - [The Non-Perturbative S-Matrix Bootstrap -- Lecture 1](https://invisiblenetwork.ai/learn/cern/3008755): Alexander Zhiboedov · CERN - [The Non-Perturbative S-Matrix Bootstrap -- Lecture 2](https://invisiblenetwork.ai/learn/cern/3017918): Alexander Zhiboedov · CERN - [Closing](https://invisiblenetwork.ai/learn/cern/3008644): Manfred Krammer · CERN - [Electronics, DAQ and Triggers 3/3](https://invisiblenetwork.ai/learn/cern/3008642): Tommaso Colombo · CERN - [What is String Theory?](https://invisiblenetwork.ai/learn/cern/3008647): Timo Stephan Weigand · CERN - [Promotion of the CERN Alumni Network](https://invisiblenetwork.ai/learn/cern/3008645): Rachel Bray · CERN - [Electronics, DAQ and Triggers 2/3](https://invisiblenetwork.ai/learn/cern/3008638): Tommaso Colombo · CERN - [Quantum matter and clock: from emergent phenomena to fundamental physics](https://invisiblenetwork.ai/learn/cern/3016216): Jun Ye · CERN - [Basics of quantum computing (theory)](https://invisiblenetwork.ai/learn/cern/3008938): Alice Barthe · CERN - [Basics of quantum computing (hands-on)](https://invisiblenetwork.ai/learn/cern/3008836): Su Yeon Chang · CERN - [Electronics, DAQ and Triggers 1/3](https://invisiblenetwork.ai/learn/cern/3015732): Tommaso Colombo · CERN - [A Causal Framework for Non-Linear Quantum Mechanics](https://invisiblenetwork.ai/learn/cern/3008637): Surjeet Rajendran · CERN - [Making Predictions at Hadron Colliders 2/2](https://invisiblenetwork.ai/learn/cern/3015736): Alexander Yohei Huss · CERN - [Physics Beyond the Standard Model 1/4](https://invisiblenetwork.ai/learn/cern/3015216): Tevong You · CERN - [Experimental Physics at Lepton Colliders 2/2](https://invisiblenetwork.ai/learn/cern/3008446): Frank Simon · CERN - [Antimatter in the Laboratory 2/2](https://invisiblenetwork.ai/learn/cern/3008448): Jack Devlin · CERN - [The angle $\gamma$ of the Cabibbo-Kobayashi-Maskawa ansatz: a journey towards precision at LHCb](https://invisiblenetwork.ai/learn/cern/3008445): Martin Tat · CERN - [Making Predictions at Hadron Colliders 1/2](https://invisiblenetwork.ai/learn/cern/3008421): Alexander Yohei Huss · CERN - [Antimatter in the Laboratory 1/2](https://invisiblenetwork.ai/learn/cern/3017408): Jack Devlin · CERN - [Experimental Physics at Lepton Colliders 1/2](https://invisiblenetwork.ai/learn/cern/3014907): Frank Simon · CERN - [Experimental Physics at Hadron Colliders 4/4](https://invisiblenetwork.ai/learn/cern/3008308): Markus Klute · CERN - [Reinforcement learning and its applications at CERN](https://invisiblenetwork.ai/learn/cern/3008310): Matteo Bunino · CERN - [Accelerator Technology Challenges Part 3 - 2/2](https://invisiblenetwork.ai/learn/cern/3008307): Francesc Salvat Pujol · CERN - [Astroparticle Physics 2/2](https://invisiblenetwork.ai/learn/cern/3008264): Bradley Kavanagh · CERN - [Accelerator Technology Challenges Part 3 - 1/2](https://invisiblenetwork.ai/learn/cern/3008266): Francesc Salvat Pujol · CERN - [Experimental Physics at Hadron Colliders 3/4](https://invisiblenetwork.ai/learn/cern/3012492): Markus Klute · CERN - [Astroparticle Physics 1/2](https://invisiblenetwork.ai/learn/cern/3008193): Bradley Kavanagh · CERN - [Science prospects for LISA](https://invisiblenetwork.ai/learn/cern/3013388): Antoine Petiteau · CERN - [Flavour Physics 3/3](https://invisiblenetwork.ai/learn/cern/3008192): Mark Richard James Williams · CERN - [Physics and Medical Applications 1/2](https://invisiblenetwork.ai/learn/cern/3013397): Manuela Cirilli · CERN - [Observation of enhanced long-range elliptic anisotropies inside high-multiplicity jets in pp collisions at the LHC, with the CMS detector](https://invisiblenetwork.ai/learn/cern/3008434): Austin Alan Baty · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=283)