Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
-
objectives. Program Operations Responsible for overseeing and managing all operational aspects of the program, including rotation schedules for residents in keeping with the requirements of the Royal College
-
Zero Carbon Mobility (INFUZE) is a major £7.8m five year research grant funded by the Engineering and Physical Sciences Research Council. Working across the Universities of Leeds, Lancaster and the Royal
-
disease. This will involve data-driven feature extraction and the training and optimization of various machine learning models. The research will focus on analysing data from deeply phenotyped cohorts
-
The National Gallery Scientific Department & Imperial College London Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Electrical and Electronic
-
mechanics code capable of modelling arbitrary configurations. The project will investigate the possibility of using AI and machine learning in shear band modelling, developing a deep insight in which
-
Imperial College London and the Universities of Bristol, Cambridge and Durham. The vision of the Hub is to develop the theoretical foundations of collective intelligence, including security and privacy
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
, improving clinical care, and system improvements. Our Royal College residency training program, distributed across four program sites, is the largest in the country providing high-quality emergency training
-
observations like 2D images and transferring those pose/style statuses to 3D characters. By leveraging cutting-edge machine learning models, the project aims to produce accurate estimation of human movements and