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How indoor location technology can help the healthcare sector

King's collaboration develops smarter medical imaging

University of Reading: Prestigious Fellowship Awarded To Reading Expert On Scientific Computing

AI is about to shake up music forever – but not in the way you think

As machine-learning music specialist Prof Nick Bryan-Kinns explains, new neural networks are capable of writing original music – but may never compose meaningful lyrics.

How Artifical Intelligence has played a major role in fighting Covid

Data and machine learning have been vital tools during the pandemic

How Artificial Intelligence has played a major role in fighting Covid

Data and machine learning have been vital tools during the pandemic

AI analytics predict COVID-19 patients' daily trajectory in UK intensive care | Imperial News

11 May 2021 Researchers used AI to identify which daily changing clinical parameters best predict intervention responses in critically ill COVID-19 patients. The investigators used machine learning to predict which patients might get worse and not respond positively to being turned onto their front in intensive care units (ICUs) – a technique known as proning that is commonly used in this setting to improve oxygenation of the lungs. This dynamic understanding is vitally important when trying to understand a new life-threatening disease and to know when and in whom each intervention works. Dr Brijesh Patel Department of Surgery and Cancer While the AI model was used on a retrospective cohort of patient data collected during the pandemic’s first wave, the study demonstrates the ability of AI methods to predict patient outcomes using routine clinical information used by ICU medics.

NEO Energy announces Low Carbon Transition Plan to reduce emissions

NEO Energy has published its Low Carbon Transition Plan (LCTP) setting out an ambitious strategy to reduce its carbon emissions.

3D holographic head-up display could improve road safety

Fly-through of Malet St in London based on LiDAR data Researchers have developed the first LiDAR-based augmented reality head-up display for use in vehicles. Tests on a prototype version of the technology suggest that it could improve road safety by ‘seeing through’ objects to alert of potential hazards without distracting the driver. The technology, developed by researchers from the University of Cambridge, the University of Oxford and University College London (UCL), is based on LiDAR (light detection and ranging), and uses LiDAR data to create ultra-high-definition holographic representations of road objects which are beamed directly to the driver’s eyes, instead of 2D windscreen projections used in most head-up displays.

3D holographic head-up display could improve road safety