# From CERN 19,166 courses and talks. - [Missing Higher Order Uncertainties with focus on top-antitop production (20' + 10')](https://invisiblenetwork.ai/learn/cern/3025914): Rene Poncelet · CERN - [Defining a complete uncertainty model for MiNNLOps (15' + 10')](https://invisiblenetwork.ai/learn/cern/3025913): Dimitra Samara and Dominic Hirschbuehl · CERN - [Defining a complete uncertainty model for off-shell MC (15' + 10')](https://invisiblenetwork.ai/learn/cern/3025946): Nedaa Alexandra Asbah · CERN - [Status of ggZH @NLO (15'+10')](https://invisiblenetwork.ai/learn/cern/3025947): Marco Vitti · CERN - [NLO EWK corrections in ATLAS (15'+10')](https://invisiblenetwork.ai/learn/cern/3025948): Weitao Wang · CERN - [When to use NLO, NNLO or multileg (15' + 10')](https://invisiblenetwork.ai/learn/cern/3025944): Andy Buckley and Xinyuan Tan · CERN - [Defining an uncertainty model for multileg matched and merged (15' + 10')](https://invisiblenetwork.ai/learn/cern/3025949): Frank Siegert and Tetiana Moskalets 🐦‍⬛ · CERN - [Understanding the lineshape (15' + 10')](https://invisiblenetwork.ai/learn/cern/3025950): Dominic Hirschbuehl and Shayma Wahdan · CERN - [Understanding top-quark decay modelling in event generators (20' + 10')](https://invisiblenetwork.ai/learn/cern/3025912): Christopher Young and Matilde Uboldi · CERN - [Brief overview on state-of-the art (Multi)Higgs modelling/samples in ATLAS (15'+5')](https://invisiblenetwork.ai/learn/cern/3025932): Guglielmo Frattari · CERN - [Single Higgs Uncertainties in ATLAS (20'+10')](https://invisiblenetwork.ai/learn/cern/3025931): Valerio Dao · CERN - [LHC WG1 Overview - single Higgs (20'+10')](https://invisiblenetwork.ai/learn/cern/3025965): Robin Hayes · CERN - [LHC WG4 Overview: HH and HHH (20'+10')](https://invisiblenetwork.ai/learn/cern/3025933): Arantxa Ruiz Martinez · CERN - [Known multi-bosons modeling limitations: treatments in the analyses](https://invisiblenetwork.ai/learn/cern/3025899): Danning Liu · CERN - [V+jets FxFx with MadGraph 3.5.11](https://invisiblenetwork.ai/learn/cern/3025905): Lenart Jerala · CERN - [Known V(V)+jets modeling limitations: treatments in the analyses](https://invisiblenetwork.ai/learn/cern/3025902): Antonio Giannini · CERN - [MINNLOPS diboson samples and polarisation modelling](https://invisiblenetwork.ai/learn/cern/3025903): Aonan Wang · CERN - [V+HF modeling for Run 3 analyses](https://invisiblenetwork.ai/learn/cern/3025901): Federico Sforza · CERN - [Lesson learnt from past years of MC production: towards next steps](https://invisiblenetwork.ai/learn/cern/3025906): Michiel Jan Veen · CERN - [MINNLOPS W and Z central samples](https://invisiblenetwork.ai/learn/cern/3025904): Jan Kretzschmar · CERN - [Introduction](https://invisiblenetwork.ai/learn/cern/3025898): Francesco Giuli and Spyros Argyropoulos · CERN - [Robot football, a proving ground for humanoid robotic systems](https://invisiblenetwork.ai/learn/cern/3026040): Ignacio Reguero · CERN - [Introduction to Copilot Studio](https://invisiblenetwork.ai/learn/cern/3025874): Bruno Angelloz-Nicoud and Francois GAECHNER · CERN - [Introduction to M365 Copilot Agents](https://invisiblenetwork.ai/learn/cern/3025873): Foad Akcha and Francois GAECHNER · CERN - [Building Agents Hands On](https://invisiblenetwork.ai/learn/cern/3025875): Michal Kwiatek · CERN - [Extended Scalar Sectors and Effective Field Theory](https://invisiblenetwork.ai/learn/cern/3025892): David Sutherland · CERN - [AICE: A long-baseline atom interferometry facility at CERN](https://invisiblenetwork.ai/learn/cern/3025869): Oliver Buchmuller · CERN - [CDCs, FIFOs, and Width Converters: How to Combine Open Logic Building Blocks Correctly](https://invisiblenetwork.ai/learn/cern/3025784): Oliver Bründler · CERN - [Kyokko2: a portable multi-gigabit serial communication controller](https://invisiblenetwork.ai/learn/cern/3025783): Sou Tanaka · CERN - [SystemVerilog Hacks: Circumventing the Limitations of SystemVerilog](https://invisiblenetwork.ai/learn/cern/3025785): Yair Linn · CERN - [A Multigigabit Link Layer Protocol for Single Picosecond Latency Determinism Using AMD Ultrascale+ GTH and GTY Transceivers](https://invisiblenetwork.ai/learn/cern/3025788): Paul Bachek · CERN - [Recovered Clock Phase Monitoring on AMD Transceivers for Deterministic Timing](https://invisiblenetwork.ai/learn/cern/3025786): Nikitas Loukas · CERN - [The CERN Open Hardware Licence for FPGA Designs](https://invisiblenetwork.ai/learn/cern/3025789): Javier Serrano · CERN - [Latency analysis of the CPU-FPGA interface in the Zynq UltraScale+ SoC](https://invisiblenetwork.ai/learn/cern/3025787): Valerio Nappi · CERN - [Closing Remarks](https://invisiblenetwork.ai/learn/cern/3025811): Francesco Gonnella · CERN - [HGQ: High Granularity Quantization for Real-time Neural Networks and LUT-Based Inference](https://invisiblenetwork.ai/learn/cern/3025769): Chang Sun · CERN - [Inside UVVM: Architecture and Design of Custom Verification Components](https://invisiblenetwork.ai/learn/cern/3025771): Markus Leiter · CERN - [Open Source HDL Co-Simulation with AMD Alveo](https://invisiblenetwork.ai/learn/cern/3025773): Matthias Kern · CERN - [Open-source simulation landscape and advances towards mixed language support](https://invisiblenetwork.ai/learn/cern/3025774): Augusto Fraga Giachero · CERN - [KalEdge-Lite: Hardware-Aware ML-to-FPGA Deployment with Automated hls4ml Integration](https://invisiblenetwork.ai/learn/cern/3025770): Romina Soledad Molina · CERN - [AMD Embedded AI Solutions](https://invisiblenetwork.ai/learn/cern/3025772): Thomas Gmeinder · CERN - [DevOps for FPGA 101: from version control to hardware-in-the-loop testing](https://invisiblenetwork.ai/learn/cern/3025782): Matteo Vit · CERN - [fwk: An Open-Source Framework for Standardized FPGA Development at DESY](https://invisiblenetwork.ai/learn/cern/3025779): Cagil Gumus · CERN - [NGRC on SoC for online learning of dynamical systems](https://invisiblenetwork.ai/learn/cern/3025776): João Folhadela · CERN - [Dynamic Derandomizing Buffer: A Portable and Scalable Solution for Time-Ordered Packet Aggregation](https://invisiblenetwork.ai/learn/cern/3025781): Mitja Vodnik · CERN - [Study of non linearities on the AMD Phase Interpolator](https://invisiblenetwork.ai/learn/cern/3025778): Edoardo Orzes · CERN - [High-speed digital twins: Pushing simulation time-steps into the nanosecond range using Versal ACAP](https://invisiblenetwork.ai/learn/cern/3025775): Pablo Trujillo · CERN - [VHDL-LS - A Free and Open Source Language Server for VHDL](https://invisiblenetwork.ai/learn/cern/3025780): Lukas Scheller · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=351)