# Mathematics 1,280 courses and talks. - [Foundations of Statistics](https://invisiblenetwork.ai/learn/cern/3022531): Glen Cowan · CERN - [Application-Specific Arithmetic Operators with the FloPoCo HDL core generator](https://invisiblenetwork.ai/learn/cern/3021068): Florent de Dinechin · CERN - [Distributed Arithmetic for Real-time Neural Networks on FPGAs](https://invisiblenetwork.ai/learn/cern/3021064): Chang Sun · CERN - [Trigger Level Analysis data preparation through co-processors](https://invisiblenetwork.ai/learn/cern/3026688): Emilly Rodrigues · CERN - [SG 6: Data Analysis in Particle Physics](https://invisiblenetwork.ai/learn/cern/3026639): David Shani and others · CERN - [TLA-LOW MASS DIPHOTON ANALYSIS: USING SAME JET MATCHING AS AN ISOLATION PROXY](https://invisiblenetwork.ai/learn/cern/3026676): Asem Mahmoud · CERN - [Analysis of the decay 𝐾+ → 𝜋+𝜋0𝑎 at the NA62 experiment](https://invisiblenetwork.ai/learn/cern/3026614): Andrea Marchi · CERN - [Foundations of Statistics 4/4](https://invisiblenetwork.ai/learn/cern/3026398): Glen Cowan · CERN - [Foundations of Statistics 3/4](https://invisiblenetwork.ai/learn/cern/3026365): Glen Cowan · CERN - [Foundations of Statistics 2/4](https://invisiblenetwork.ai/learn/cern/3026339): Glen Cowan · CERN - [Foundations of Statistics 1/4](https://invisiblenetwork.ai/learn/cern/3026340): Glen Cowan · CERN - [Latency analysis of the CPU-FPGA interface in the Zynq UltraScale+ SoC](https://invisiblenetwork.ai/learn/cern/3025787): Valerio Nappi · CERN - [Analysis of Sub-Optimal Servo Performance in White Rabbit Timing Systems](https://invisiblenetwork.ai/learn/cern/3025754): Konstantinos Asteriou · CERN - [From phase space to Krylov space: complexity and the geometry of chaos](https://invisiblenetwork.ai/learn/cern/3025662): Julian Sonner · CERN - [Emergent spacetime geometry for quantum matter](https://invisiblenetwork.ai/learn/cern/3025656): Stefan Floerchinger · CERN - [GWEEP: A Deep Learning Toolkit for Low‑Latency Gravitational‑Wave Analysis](https://invisiblenetwork.ai/learn/cern/3025638): Ana Caramete · CERN - [The Political Economy of Compute: Provocations and Pathways](https://invisiblenetwork.ai/learn/cern/3025637): Jo Walton · CERN - [Wattnet: High-Resolution Carbon and Water Intensity Modelling to Enable Impact-Aware Research Computing.](https://invisiblenetwork.ai/learn/cern/3025602): JAIME IGLESIAS BLANCO · CERN - [Adaptive Infrastructure and Efficiency Strategies at a GridKa WLCG Tier-1 Center](https://invisiblenetwork.ai/learn/cern/3025606): Lars Sowa · CERN - [An Energy-Efficient Data Centre with Heat recovery at Queen Mary University of London \[Online\]](https://invisiblenetwork.ai/learn/cern/3025603): Sudha Ahuja · CERN - [GreenMetaData: Standardising Environmental Impact Reporting for Computational Research \[Online\]](https://invisiblenetwork.ai/learn/cern/3025614): Jyoti Bhogal · CERN - [Modelling Scenarios for Carbon-aware Geographic Load Shifting of Compute Workloads \[Online\]](https://invisiblenetwork.ai/learn/cern/3025622): Wim Vanderbauwhede · CERN - [On the Challenges in Assessing the Sustainability of AI \[Online\]](https://invisiblenetwork.ai/learn/cern/3025616): Raghavendra Selvan · CERN - [Environmentally Sustainable HeAlth REsearch (SHARE) Considerations of ethics, justice, responsibility and reflexivity.](https://invisiblenetwork.ai/learn/cern/3025621): Gabby Samuel · CERN - [SUSFECIT: Objectives and Concepts](https://invisiblenetwork.ai/learn/cern/3025619): Dwayne Spiteri · CERN - [Enhancing Sustainable Research: A holistic Approach to Sustainable Computing](https://invisiblenetwork.ai/learn/cern/3025618): Georgios Sarantakos and Xavier Eric Ouvrard · CERN - [Using co-design to improve computing carbon calculators](https://invisiblenetwork.ai/learn/cern/3025617): Christina Bremer · CERN - [The One Token Model: A Multi-Layer Framework for the Granular Estimation of AI Inference Energy](https://invisiblenetwork.ai/learn/cern/3025615): Mathieu Francois · CERN - [Optimizing Energy Efficiency at the WLCG PIC Tier-1: From Predictive Job Scheduling to Real-Time CPU Control](https://invisiblenetwork.ai/learn/cern/3025620): Jose Flix Molina · CERN - [Towards a better understanding of environmental impacts of IT : evaluation of carbon emissions generated by organizations’ IT services](https://invisiblenetwork.ai/learn/cern/3025673): Julia Paolini · CERN - [Integrating environmental sustainability into bioinformatics training and its delivery](https://invisiblenetwork.ai/learn/cern/3025573): Flaminia Zane · CERN - [Green Research Software Engineering: A new role to Embed Sustainability in Research Software](https://invisiblenetwork.ai/learn/cern/3025569): Kirsty Pringle · CERN - [What does that really tell us? Interpreting numbers in sustainability reports](https://invisiblenetwork.ai/learn/cern/3025574): Romain Jacob · CERN - [Towards a Federated Accounting Framework for Sustainable Research Computing: A Landscape Review of the UK's Digital Research Infrastructure](https://invisiblenetwork.ai/learn/cern/3025572): Deniza Chekrygina · CERN - [UKRI's approach to Sustainable Digital Research Infrastructure](https://invisiblenetwork.ai/learn/cern/3025571): Emily Wallis · CERN - [Building Communities in Green Computing](https://invisiblenetwork.ai/learn/cern/3025570): Anica Araneta · CERN - [Green DiSC: open-access community-driven Digital Sustainability Certification scheme](https://invisiblenetwork.ai/learn/cern/3025580): Loic Lannelongue · CERN - [Carbon Accounting for UK Research Computing: proof of concept & beyond.](https://invisiblenetwork.ai/learn/cern/3025579): Alex Owen · CERN - [Life cycle assessment of the LHCb data centres : Overall impacts & Cooling systems comparison](https://invisiblenetwork.ai/learn/cern/3025576): Roman Dandoy · CERN - [IT in your research – what impacts?](https://invisiblenetwork.ai/learn/cern/3025575): Manuel Cubero-Castan and Julia Paolini · CERN - [How accurate are current tools and models for estimating software energy consumption? \[Online\]](https://invisiblenetwork.ai/learn/cern/3025581): Andreas Brunnert · CERN - [Fast Simulation of Gravitational-Wave Signals and Glitch Populations for Data Analysis](https://invisiblenetwork.ai/learn/cern/3025599): Melissa Lopez · CERN - [What’s Stopping Emissions Monitoring Across Compute Services?](https://invisiblenetwork.ai/learn/cern/3025609): Jessica Huntley · CERN - [Developing a sustainable institutional research computing culture](https://invisiblenetwork.ai/learn/cern/3025610): Jeremy Cohen · CERN - [Beyond the Dashboard: What Should Research Computing Carbon Monitoring Actually Do?](https://invisiblenetwork.ai/learn/cern/3025611): Navirah Kamal · CERN - [An environmental assessment of computing services in higher education \[Online\]](https://invisiblenetwork.ai/learn/cern/3025596): Caterina Doglioni and Tobias Fitschen · CERN - [Estimating the environmental impact of computing for a future accelerator facility](https://invisiblenetwork.ai/learn/cern/3025556): Hannah Wakeling · CERN - [Reducing machine learning model emissions by integrating physics knowledge](https://invisiblenetwork.ai/learn/cern/3025558): Daisy Bradley · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=maths&page=27)