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University of Cambridge > Talks.cam > Drum Building, Madingley Rise Site, West Cambridge and on zoom: https://zoom.us/j/6708259482?pwd=Qk03U3hxZWNJZUZpT2pVZnFtU2RRUT09
Drum Building, Madingley Rise Site, West Cambridge and on zoom: https://zoom.us/j/6708259482?pwd=Qk03U3hxZWNJZUZpT2pVZnFtU2RRUT09
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If you have a question about this list, please contact: . If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 40 talks in the archive. Earth, Water, & Fire: Assorted Projects in Environmental Data Science with a Human Focus
The Digital Revolution of Earth System Modelling
The UK's national coupled climate model, HadGEM3, and its application to understanding Antarctic sea-ice variability
The role of AI in decision-making about air pollution emission control decisions
Measuring avian species abundance with bioacoustics and machine learning
THE ROLE OF SULFUR FROM HUMAN EMISSIONS IN DRIVING CLIMATE CHANGE
THE ROLE OF SULFUR FROM HUMAN EMISSIONS IN DRIVING CLIMATE CHANGE
The Spatial Confounding Environment
Do environmental considerations feature into global digital governance?
The role of sulphur from human emissions in driving climate change
Online-Learned Neural Network Chemical Solver for Stable, Fast, and Long-Term Global Simulations of Atmospheric Chemistry
Generalization vs Specialization in Computer Vision for Ecology
Machine learning assisted evidence synthesis to support evidence-based policy on climate change
Gaussian Processes at the Helm(holtz): A more fluid model for ocean currents
DeepWeather: using NN-based downscaling to improve weather forecasting in New Zealand
Probabilistic detection and tracking of icebergs in the Amundsen Sea Embayment from synthetic aperture radar
Applications of IceNet AI sea ice forecasts for Arctic wildlife conservation
AI4ER special student session - Literature review knowledge exchange
Open scientific data: how the UK Polar Data Centre supports open science using FAIR data principles
Restoration at landscape scale to address environmental risk
ClimaX: A foundation model for weather and climate
The future role of AI on the Earth sciences - a unified agenda
Checking contentious counting: how machine learning can help to verify international climate finance
Enhancing automated analysis of marine soundscapes using ecoacoustic indices and machine learning
Gulf Stream physical characteristics from remote sensing and neural networks
Sustainability in research
Sounds of the Earth: Using seismic recordings to listen to earthquakes and great whales
Using unsupervised learning to discover how convective clouds form and evolve
Pyrocast: A Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) clouds
Can geomagnetic and ionospheric precursor signals improve earthquake forecasting?
The environmental impact of computational science: how bad is it and what can we do about it?
Unsupervised Learning-enabled Analysis in Electron Microscopy.
Decolonising the curriculum
Earth Observation and Artificial Intelligence Techniques for Natural Hazard Risk Assessment
Planetary Intelligence: Better Decisions for Business and Planet
Please see above for contact details for this list. |
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Dr Robert Rouse, Dept of Computer Science and Technology.
Tuesday 25 June 2024, 16:00-17:00