# From CERN 19,166 courses and talks. - [Agentic AI for infrastructure control](https://invisiblenetwork.ai/learn/cern/3025630): Fernando Varela Rodriguez · CERN - [★ Computational Discovery of Interferometric Gravitational Wave Detectors ★](https://invisiblenetwork.ai/learn/cern/3025627): Jonathan Klimesch · CERN - [Tutorial](https://invisiblenetwork.ai/learn/cern/3025650): Tomislav Andric · CERN - [Rethinking the HL-LHC CMS Real-Time data processing with NGT](https://invisiblenetwork.ai/learn/cern/3025648): Sabrina Giorgetti · 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 - [Non-linear noise regression in the Virgo detector](https://invisiblenetwork.ai/learn/cern/3025689): R. Weizmann Kiendrebeogo · 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 - [Using AI for GW detection, Classification and Parameter Estimation](https://invisiblenetwork.ai/learn/cern/3025582): Huw Haigh · CERN - [IT in your research – what impacts?](https://invisiblenetwork.ai/learn/cern/3025575): Manuel Cubero-Castan and Julia Paolini · CERN - [Gravitational Waves, Feynman Integrals, and Machine Learning](https://invisiblenetwork.ai/learn/cern/3025589): Mao Zeng · CERN - [How accurate are current tools and models for estimating software energy consumption? \[Online\]](https://invisiblenetwork.ai/learn/cern/3025581): Andreas Brunnert · CERN - [★ Overlapping signals in 3G detectors: an approach based on Transformers ★](https://invisiblenetwork.ai/learn/cern/3025587): Lucia Papalini · CERN - [★ Simulation-Based Homotopy: Stress-Testing Gravitational-Wave Posteriors ★](https://invisiblenetwork.ai/learn/cern/3025585): Giada Chiara Badaracco · CERN - [Rapid Detection and Inference of Extreme-Mass-Ratio Inspirals in LISA: Divide and Conquer](https://invisiblenetwork.ai/learn/cern/3025586): Rahul Srinivasan · CERN - [Real-Time Gravitational-Wave Inference with Probabilistic Machine Learning](https://invisiblenetwork.ai/learn/cern/3025583): Maximilian Dax · CERN - [Tackling the LISA Global Fit: Scalable Simulation-Based Inference and the Road Ahead](https://invisiblenetwork.ai/learn/cern/3025584): James Alvey · CERN - [Representation-Aware Self Supervised Learning for Gravitational Wave Science: Introducing GWCLIP](https://invisiblenetwork.ai/learn/cern/3025597): Uddipta Bhardwaj · CERN - [The power of Normalizing Flows for Bayesian inference](https://invisiblenetwork.ai/learn/cern/3025588): Eleonora Villa · CERN - [★ What Lies Beneath the Noise: Inferring Galactic Binary Populations in LISA with SBI ★](https://invisiblenetwork.ai/learn/cern/3025598): Federico De Santi · CERN - [Fast Simulation of Gravitational-Wave Signals and Glitch Populations for Data Analysis](https://invisiblenetwork.ai/learn/cern/3025599): Melissa Lopez · CERN - [Realtime search and inference of binary black holes in LVK data using AI](https://invisiblenetwork.ai/learn/cern/3025607): Deep Chatterjee · CERN - [What’s Stopping Emissions Monitoring Across Compute Services?](https://invisiblenetwork.ai/learn/cern/3025609): Jessica Huntley · CERN - [Machine Learning in LIGO: current and future applications](https://invisiblenetwork.ai/learn/cern/3025604): Siddharth Soni · CERN - [Enhancing DeepClean: Towards Scalable and Adaptive Gravitational-Wave Denoising](https://invisiblenetwork.ai/learn/cern/3025605): Sharvari Tatachar · CERN - [Comparing next-generation detector configurations for high-redshift gravitational wave sources with neural posterior estimation](https://invisiblenetwork.ai/learn/cern/3025601): Filippo Santoliquido · 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 - [Autoencoder based surrogate model for gravitational waves from BBH mergers](https://invisiblenetwork.ai/learn/cern/3025600): Anastasios Theodoropoulos · 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 - [Engineering a Scalable, FAIR Data Infrastructure for Resource-Efficient Research](https://invisiblenetwork.ai/learn/cern/3025557): Irufan Ahmed · CERN - [Faster, Greener, Precise Enough: Challenges and Directions in GPU Auto-Tuning](https://invisiblenetwork.ai/learn/cern/3025561): Ben van Werkhoven · CERN - [Mitigate. Innovate. Sustain.](https://invisiblenetwork.ai/learn/cern/3025559): Wilco Burggraaf · CERN - [Sustainability-Aware Workload Shifting Beyond Carbon Intensity](https://invisiblenetwork.ai/learn/cern/3025566): Geerd-Dietger Hoffmann · CERN - [Integrating sustainability in the design of the Wide-field Spectroscopic Telescope’s data processing and storage](https://invisiblenetwork.ai/learn/cern/3025560): Laurane Fréour · CERN - [Lightning Talks](https://invisiblenetwork.ai/learn/cern/3025578): Adrian CIOCAN and others · CERN - [Software Engineering and Sustainability: Experience Cultivating Better Systems](https://invisiblenetwork.ai/learn/cern/3025577): Michael Philip Sparks · CERN - [MMA keynote](https://invisiblenetwork.ai/learn/cern/3025593): Daniel Muthukrishna · CERN - [LISA keynote](https://invisiblenetwork.ai/learn/cern/3025595): Michele Vallisneri · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=354)