Oscar-winning creative studio Framestore and Bournemouth University are seeking two research fellows to help drive forward the future of visual effects. Joining the Faculty of Media and Communications' Centre for Applied Creative Technologies (CfACTs) and gaining access to Framestore's world-leading teams, tech and software, the selected candidates will embark on two-year research programmes to help solve key problems facing the VFX industry. Manne Öhrström, Framestore's Global Head of Software VFX, said: "Framestore's Technology & Research Team comprises a diverse melting pot of computer scientists, engineers and physicists who are always striving for innovative solutions to take the company's work to the next level. This is a group of gifted technologists wholly focused on the industry's future, and the work they do impacts every aspect of Framestore's business. The potential for using machine learning in areas like lighting and rendering is huge, and we can't wait to welcome two new research fellows to the team – we're sure that their work will prove absolutely invaluable."
All the sessions from Transform 2021 are available on-demand now. DeepMind and the European Bioinformatics Institute (EMBL), a life sciences lab based in Hinxton, England, today announced the launch of what they claim is the most complete and accurate database of structures for proteins expressed by the human genome. In a joint press conference hosted by the journal Nature, the two organizations said that the database, the AlphaFold Protein Structure Database, which was created using DeepMind's AlphaFold 2 system, will be made available to the scientific community in the coming weeks. The recipe for proteins -- large molecules consisting of amino acids that are the fundamental building blocks of tissues, muscles, hair, enzymes, antibodies, and other essential parts of living organisms -- are encoded in DNA. It's these genetic definitions that circumscribe their three-dimensional structures, which in turn determine their capabilities.
Ophthalmology, with its heavy reliance on imaging, is an innovator in the field of artificial intelligence (AI) in medicine. Although the opportunities for patients and health care professionals are great, hurdles to fully integrating AI remain, including economic, ethical, and data-privacy issues. Deep learning According to Konstantinos Balaskas, MD, FEBO, MRCOphth, a retinal expert at Moorfields Eye Hospital, London, United Kingdom, and director of the Moorfields Ophthalmic Reading Centre and AI Analytics Hub, AI is a broad term. "The type of AI that has generated a lot of excitement in recent years is called'deep learning,' " he said. "This is a process by which software programs learn to perform certain tasks by processing large quantities of data." Deep learning is what has made ophthalmology a pioneer in the field of implementing AI in medicine, because we are increasingly reliant on imaging tests to monitor our patients.
The swarm took over land, air, water and above-water environments, but was operated as one autonomously controlled unit from a single ground station. An autonomous swarm of six drones flew in the sky, dived underwater and crept over land to assist armed forces with various experimental missions in a first-of-its-kind exercise for the UK Royal Marines. The uncrewed systems were deployed as part of training raids on simulated adversary positions in Cumbria and Dorset, and were tasked with various missions ranging from reconnaissance operations through delivering supplies to soldiers, to identifying and tracking targets of interest. Made up of six different types of drones, the swarm took over land, air, water and above-water environments, but was operated as one autonomously controlled unit from a single ground station. This means that the systems worked together, sharing data from their sensors across a single communications network.
For many, AI can represent a threat... yet, should AI cause us such fear and concern? No one could be better placed to unpack this topic than Dr. Michael Wooldridge (Professor of Computer Science; Head of Department) from Oxford University. We talk about the effect of AI on the future work force, which jobs and sectors are at risk, and how AI will impact our rights, wealth, and wellbeing. Do you see AI as a challenge or an opportunity?
Robots are credited with boosting efficiency in some industrial use cases. But, as a major UK grocery service just found out, that doesn't mean they're not accident-prone like humans. Ocado -- which competes with Amazon Fresh -- has been forced to cancel orders for some customers after a robot collision sparked a fire at its warehouse in south-east London. The incident appeared to involve three bots on the grid and led to the evacuation of its Erith customer fulfilment center, the company said. Ocado revealed that the fire triggered the site's sprinkler system, but was contained by its mitigation measures.
Big road projects will often uncover historic finds. During the £1.5bn upgrade of the A14 in Cambridgeshire, an archaeologist found what was believed to be the earliest evidence of beer brewing in Britain, dating back around 2,000 years. Generating as much excitement, for different reasons, was the introduction of a very modern concept on the same scheme. The project team pioneered artificial intelligence (AI) and machine-learning technology to successfully predict times when an accident was more likely to happen – and to take action to stop it. By collecting swathes of information and using the AI, data scientists were able to spot problems before they occurred.
This is a unique opportunity to secure a fully funded 4-yr PhD position in a world-class university, with dual academic support being provided by the Department of Applied Mathematics and Theoretical Physics (Professor Carola-Bibiane Schönlieb; http://www.damtp.cam.ac.uk/) and the Department of Haematology (Professor Willem H Ouwehand; http://www.haem.cam.ac.uk/). During your PhD you will work on large genomics data sets drawn from the UK-wide genome resources and new data currently being generated by the international Blood transfusion Genomics Consortium (www.bgc.io), This is your opportunity in putting your mind to some of the major challenges in healthcare-focused machine learning and AI and genomics and to make a key contribution in bringing genomics to the frontline of medicine. The Cambridge University Departments of Applied Mathematics and Theoretical Physics and Haematology work with colleagues at University College London and its hospital UCLH in applying a cross-disciplinary approach to develop healthcare-focused machine learning and AI solutions of the future (https://www.youtube.com/watch?v BIyTgiF6wCw). This is a challenge that requires critically-minded thinkers.
Alexanda Harvey, 13, from Thorplands in Northampton, has a range of complex medical conditions including Interstitial Lung Disease, Phenylketonuria (PKU), Surfactant Protein Deficiency C, and Epilepsy. His illnesses mean that he needs to spend a lot of time in hospital, making his attendance at school as low as 20 per cent.
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