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Health - Computer Science - 13.09.2023

World-first AI foundation model for eye care to supercharge global efforts to prevent blindness
Researchers at UCL and Moorfields Eye Hospital have developed an artificial intelligence (AI) system that has the potential to not only identify sight-threatening eye diseases but also predict general health, including heart attacks, stroke, and Parkinson's disease. RETFound , one of the first AI foundation models in healthcare, and the first in ophthalmology, was developed using millions of eye scans from the NHS.

Materials Science - Computer Science - 01.09.2023

Global digital volume correlation of large volumes: a sub-volume adaptive meshing approach
Digital Volume Correlation (DVC) is a powerful image analysis technique used in the field of materials science and engineering to study the mechanical behaviour and deformation of complex 3D structures. By comparing voxel intensities in a pair of 3D digital images captured at different states of loading or deformation, DVC allows researchers to track and quantify displacements, strains, and other mechanical properties with high precision and non-invasively.

Computer Science - 24.08.2023

Suggestible people feel more present in virtual reality - study finds
Having a good imagination and high levels of suggestibility makes you feel more present during virtual reality experiences, say computer scientists at Bath. Published on Thursday 24 August 2023 Last updated on Thursday 24 August 2023 People with vivid imaginations are more likely than others to believe they truly inhabit the worlds they visit in virtual reality (VR) according to new research led by the University of Bath.

Health - Computer Science - 23.08.2023

New model predicts ten year breast cancer risk
A team of researchers at the University of Oxford, led by the Nuffield Department of Primary Care Health Sciences , have developed a new model that reliably predicts a woman's likelihood of developing and then dying of breast cancer within a decade. The study, published today in The Lancet Digital Health , analysed anonymised data from 11.6 million women aged 20-90 from 2000 to 2020.

Computer Science - 11.08.2023

Computer security experts offer advice to freeze out risk of thermal attacks
A team of computer security experts have developed a set of recommendations to help defend against 'thermal attacks' which can steal personal information. A team of computer security experts have developed a set of recommendations to help defend against 'thermal attacks' which can steal personal information.

Computer Science - Innovation - 09.08.2023

How sure is sure? Incorporating human error into machine learning
Researchers are developing a way to incorporate one of the most human of characteristics - uncertainty - into machine learning systems. Uncertainty is central in how humans reason about the world but many AI models fail to take this into account Katherine Collins Human error and uncertainty are concepts that many artificial intelligence systems fail to grasp, particularly in systems where a human provides feedback to a machine learning model.

Computer Science - Innovation - 02.08.2023

Humans unable to detect over a quarter of deepfake speech samples
New research from UCL has found that humans were only able to detect artificially generated speech 73% of the time, with the same accuracy in both English and Mandarin. The study, published today in PLOS ONE , is the first to assess human ability to detect artificially generated speech in a language other than English.

Environment - Computer Science - 26.06.2023

Act now to prevent uncontrolled rise in carbon footprint of computational science
Cambridge scientists have set out principles for how computational science - which powers discoveries from unveiling the mysteries of the universe to developing treatments to fight cancer to improving our understanding of the human genome, but can have a substantial carbon footprint - can be made more environmentally sustainable.

Computer Science - Microtechnics - 05.06.2023

Robot ’chef’ learns to recreate recipes from watching food videos
Researchers have trained a robotic -chef- to watch and learn from cooking videos, and recreate the dish itself. We wanted to see whether we could train a robot chef to learn in the same incremental way that humans can - by identifying the ingredients and how they go together in the dish Greg Sochacki The researchers, from the University of Cambridge, programmed their robotic chef with a -cookbook- of eight simple salad recipes.

Computer Science - 24.05.2023

Largest study of video games reveals men say twice as much as women
Researchers have found a stark gender imbalance after carrying out the largest-ever study of video game dialogue, published today. The research, published in the journal Royal Society Open Science , analysed more than 13,000 video-game characters and found that men speak twice as much as women. The study, led by Dr Stephanie Rennick at the University of Glasgow and Dr Seán G. Roberts at Cardiff University, performed the first large-scale test of gender imbalance in the dialogue of 50 role-playing video games (RPGs).

Life Sciences - Computer Science - 05.05.2023

Artificial neurons mimic complex brain abilities for next-generation AI computing
Researchers have created atomically thin artificial neurons capable of processing both light and electric signals for computing. The material enables the simultaneous existence of separate feedforward and feedback paths within a neural network, boosting the ability to solve complex problems. For decades, scientists have been investigating how to recreate the versatile computational capabilities of biological neurons to develop faster and more energy-efficient machine learning systems.

Computer Science - 13.04.2023

Sharing stress data could enable new forms of mental health support
Stress data collected by wearable tech and shared between close friends could help enable new forms of mutual care for mental health, research suggests. Computing scientists from Scotland and China are behind the finding, which is set to be presented at the ACM Conference on Human Factors in Computing Systems in Germany later this month.

Innovation - Computer Science - 03.04.2023

Eye-tracking research is a peek into the future of mobile device interaction
A new study exploring how mobile devices can be controlled solely by the movements of users' eyes could offers a peek into the future of gaze-based interactions with smartphones, researchers say. Human-computer interaction specialists from universities in Scotland, Germany and Portugal have taken a closer look at how eyes can be used to control mobile devices and made a series of recommendations on how to integrate gaze-interaction into future generations of tech.

Computer Science - Environment - 07.03.2023

Phone-based measurements provide fast, accurate information about the health of forests
Researchers have developed an algorithm that uses computer vision techniques to accurately measure trees almost five times faster than traditional, manual methods. Ground-based measurements are hugely valuable, but also time-consuming. We wanted to know whether we could automate this process. Amelia Holcomb The researchers, from the University of Cambridge, developed the algorithm, which gives an accurate measurement of tree diameter, an important measurement used by scientists to monitor forest health and levels of carbon sequestration.

Health - Computer Science - 09.02.2023

Test that can identify respiratory viruses within five minutes
Scientists have developed a world-first diagnostic test, powered by artificial intelligence, that can identify known respiratory viruses within five minutes from just one nasal or throat swab. The new diagnostic test could replace current methods that are limited to testing for only one infection, such as a lateral flow test for COVID-19, or otherwise are either lab-based and time-consuming or fast and less accurate.

Environment - Computer Science - 09.01.2023

AI to monitor changes to globally important glacier
Scientists have developed AI to track the development of crevasses - or fractures - on the Thwaites Glacier ice tongue in west Antarctica. Crevasses are indicators of stress building-up in the glacier. A team of researchers from the University of Leeds and University of Bristol have adapted an AI algorithm originally developed to identify cells in microscope images to spot crevasses forming in the ice from satellite images.

Innovation - Computer Science - 16.12.2022

MIOIR Researchers launch new report on the Adoption of Digital Technologies and Skills in Greater Manchester
Silvia Massini, Mabel Sanchez-Barrioluengo, Xiaoxiao Yu have published a report exploring the key findings from ADiTS survey, in collaboration with the Greater Manchester Chamber of Commerce. High costs and a lack of access to people with the relevant skills are significant barriers to businesses adopting digital technologies across Greater Manchester, according to a major new AMBS report.

Health - Computer Science - 01.12.2022

Fitness levels can be accurately predicted using wearable devices - no exercise required
Cambridge researchers have developed a method for measuring overall fitness accurately on wearable devices - and more robustly than current consumer smartwatches and fitness monitors - without the wearer needing to exercise.

Astronomy / Space Science - Computer Science - 18.11.2022

Worldwide dataset captures Earth in finest ever detail
A global open-source dataset of high-resolution images of Earth - the most extensive and detailed of its kind - has been developed by experts led by UCL with data from the European Space Agency (ESA). The free dataset, WorldStrat, will be presented at the NeurIPS 2022 conference in New Orleans. It includes nearly 10,000km² of free satellite images, showing every type of location, urban area and land use from agriculture, grasslands and forests to cities of every size and polar ice caps.

Computer Science - Physics - 09.11.2022

Spiderweb-like lasers can emit light in controlled colours
Researchers have created a laser system based on a network like a spider's web, which can be precisely controlled to produce different light colours. The system, invented by a team led by researchers at Imperial College London with partners in Italy and Switzerland, could be used in new sensing and computing applications.