Results 11 to 20 of 22
Over the last year, there has been a rise in deep learning methods being used to produce highly accurate weather predictions. These methods include deep learning techniques such as Transformers and Graph Neural Networks amongst others, and have been applied by some of the world's leading tech companies. Some works have made claims that these...
The processing, storage and transmission of large-scale point clouds is an ongoing challenge in the computer vision community which hinders progress in the application of 3D models to real-world settings, such as autonomous driving, virtual reality and remote sensing. We propose a novel, one-shot point cloud simplification method which preserves both the salient structural features...
LIDA will be hosting a workshop on infrastructures for data science, machine learning applications and cutting cloud/edge data infrastructures. This will be an opportunity to know more about scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to data scientists. The Data Science Infrastructures Programme stands up an infrastructure stack from...
Join us to celebrate our 5 year anniversary of being the lead partner of the Alan Turing Institute for the University of Leeds! The Turing is the UK’s national institute for data science and artificial intelligence. We hope you can join us to hear about the past, present and future of what this collaboration means...
Welcome to the SciML Leeds Hackathon! This exciting event will focus on using machine learning to identify the dominant ice-water interface via a fusion of SAR and optical imagery. This hackathon is designed to be accessible to participants of all disciplines and skill levels. Whether you're a machine learning enthusiast or simply curious about its...
Combining Supervised and Unsupervised Machine Learning for Early Diagnosis of Dementia Despite the increasing availability of health data, clinically translatable methods to predict the conversion from Mild Cognitive Impairment (MCI) to dementia are still lacking. MCI represents a precursor to dementia for many individuals; however, some forms of MCI tend to remain stable over time...
Data-driven models, especially machine learning-based models such as recurrent neural networks, are a popular choice for time-series forecasting because they can capture spatiotemporal structures from timeseries data, without reference to the mechanics governing the underlying phenomenon. However, their ability to generalize robustly depends on how well-represented the governing dynamics are in the data. This is...
The Weights and Biases workshop is a hands-on event designed for researchers seeking to stay up-to-date with the latest developments in machine learning. The workshop will be led by an experienced ML engineer who will guide participants through practical applications of Weights and Biases in their ML projects. Attendees will have the opportunity to learn...
This event is primarily an in-person event, however an online option is available to attend the talk in the first hour (3-4pm). REGISTER NOW Speaker: Alhanof Alolyan, Ph.D. candidate at School of Computing Reinforcement learning (RL) might serve as an investigative way to explore unexpected and valuable findings in your work. Have you ever considered...
A co-hosted Turing event between Leeds Institute for Data Analytics (LIDA) and Newcastle University An intensive ‘collaborative hackathon’, this event will bring together organisations from industry, government, and the third sector, with talented multi-disciplinary researchers from academia. Organisations act as Data Study Group ‘Challenge Owners’, providing real-world problems and datasets to be tackled by small groups of highly...