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As humanity's relationship with AI grows, experts call for protective framework Imperial News Imperial College London
Scientists have proposed a new international framework to keep ethics and human wellbeing at the forefront of our relationship with technology. From gene therapy and AI-predicted disease to self-driving cars and 3D printing, advances in technology can improve health, free up time, and boost efficiency. However despite the best intentions of its creators, technology might lead to unintended consequences for individual privacy and autonomy. There's currently no internationally agreed-upon regulation about who, for example, has access to the data recorded by black boxes in cars, smart TVs and voice enabled personal assistants - and recent findings have shown that technology can be used to influence voting behaviour. Now, Imperial College London researchers have suggested a new regulatory framework with which governments can minimise unintended consequences of our relationship with technology.
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Imperial and MIT showcase innovative research on AI, blockchain and biosensors Imperial News Imperial College London
Academics and startups from Imperial College London and the Massachusetts Institute of Technology presented their innovative ideas at a conference. Co-organised by Imperial Business Partners and MIT, the Innovation Journeys Conference brought together industry leaders, academics and startups from both universities to explore and share the latest technological innovations and research. Imperial Business Partners offers a unique approach to problem-solving for research-driven industries via accelerated access to Imperial's expertise, talent and facilities. Imperial's Director of Enterprise Simon Hepworth discussed the university's role in the entrepreneurial journey, saying it is present at all stages, whether that's for students or staff. The College's enterprising ecosystem is vast, ranging from academic ventures, entrepreneurship competitions and programmes such as WeInnovate and the Enterprise Lab, which supports student innovation.
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Doctoral Training in Artificial Intelligence for Healthcare Imperial News Imperial College London
On 1st October 2019, the UKRI Centre for Doctoral Training in Artificial Intelligence for Healthcare opens its doors to their first cohort. The United Kingdom Research and Innovation Centre for Doctoral Training in Artificial Intelligence for Healthcare (AI4Health) will open its doors to the first cohort of PhD students in October. Director Dr Aldo Faisal and the whole AI4Health Team are looking forward to getting started and turning vision into practice. Imperial College London understand the term "AI" as meaning the development of intelligent systems that embody a practical solution. However, practical solutions involving AI will require a broader approach and the College will drive technical innovation by providing broad training for exploitation of multiple technological strategies within the broader realm of AI.
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AI doctor could boost chance of survival for sepsis patients Imperial News Imperial College London
Dr Faisal added: "The explosion in Artificial Intelligence applications in healthcare is currently focused on mimicking the perceptual ability of human doctors, e.g. However, doctors do more than just diagnose, they treat people. Our AI Clinician system focuses on capturing this cognitive capacity of doctors: Imagine having a doctor watching over you every second of every day, administering a course of treatment, observing how you respond to the treatment, and then adjusting the treatment as your condition evolves.
Drones, data science and student design: Department for Education tours Imperial Imperial News Imperial College London
Provost Ian Walmsley welcomed Education Secretary Damian Hinds to the College's South Kensington Campus The Department for Education's leadership team were given an insight into the College's pioneering research, education and innovation. On Thursday 11 October Provost Ian Walmsley and President Alice Gast welcomed the Secretary of State for Education, Damian Hinds MP, to the College for the Department for Education board's away day. Before the board meeting began, Anne Milton MP, Minister of State for Apprenticeships and Skills, a number of senior civil servants and non-executive directors from the Department for Education met Provost Ian Walmsley, Vice-Provost (Education) Professor Simone Buitendijk and a number of students and academics from across the College. The visit included tours and demonstrations at the Aerial Robotics Lab, the Carbon Capture Pilot Plant and the Dyson School of Design Engineering. Director Dr Mirko Kovac gave a presentation on the work of the Aerial Robotics Lab at Imperial's Department of Aeronautics.
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UK launches £1bn AI fund at Imperial College London Imperial News Imperial College London
The UK government launched a £1bn artificial intelligence fund with industry at Imperial College London today. The deal, announced by Business Secretary Greg Clark and Digital Secretary Matt Hancock, will fund 1,000 new government AI PhDs to keep the UK at the forefront of innovation and build the UK's status as an AI research hotspot. More than 50 leading technology companies and organisations have contributed to the development of an AI Sector Deal – which includes more than £300 million of newly allocated government funding for AI research to make the UK a global leader in this technology. Imperial is a world-leading centre in AI and machine learning with more than 600 people working with and developing artificial intelligence. These include Professor Maja Pantic, who is developing a robot which can improve learning and emotional understanding in children with autism, and Professor Aldo Faisal, who is developing software which can understand a person's intentions and direct a wheelchair by detecting their eye movement.
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Student success in data science competition Imperial News Imperial College London
The goal of this competition was to develop machine learning models for the prediction of two materials properties, namely the formation energy, which is an indication of the stability of a new material, and the electronic band gap, which determines a material's transparency over the visible range. The developed models can potentially facilitate the discovery of new transparent conductors and allow for advancements in (opto)electronic technologies. Inspired by Jacek Golebiowski, who made valuable contributions to the final solution, Lars used a smooth overlap of atomic positions (SOAP) based descriptor developed by Barto?k et al. [1, 2] to encode information about the crystal structure of the transparent conductive oxides that were studied in this competition. These SOAP features were then used to teach a Neural Network to predict the desired materials properties. Details about the competition and the top three submissions can be found here.
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AI education opens up as Imperial College London launches MOOCs Imperial News Imperial College London
A leading centre for AI education will open up to the world, as Imperial launches its first Massive Open Online Courses with Coursera. The move allows anyone with an internet connection to learn from some of the world's top researchers in artificial intelligence (AI), machine learning and mathematics. Professor Alice Gast, President of Imperial, said: "AI has the potential to transform many sectors. It is wonderful to have world-leading Imperial experts providing this opportunity to such a broad audience. Many will benefit from this exciting curriculum on the machine learning and mathematics underpinning the rapid advances in AI."
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Students launch Machine Learning Society at Imperial Imperial News Imperial College London
Two Imperial undergraduate students have launched a new multidisciplinary Machine Learning Society. Undergraduates Harry Berg (Mechanical Engineering) and Haron Shams (Design Engineering) have set up the Imperial College Machine Learning Society to get students involved in and inspired by technology that's going to change the world. Here they tell us more about what inspired them, what happened on launch day and their plans for the future. Image above: Antonia Creswell teaches the audience about the history of machine learning, specifically deep learning. Harry: We really wanted to emphasise the interdisciplinary potential of machine learning – it's not just for computing students, or postgraduates – we're keen to give everyone, particularly undergrad students, the opportunity to get involved.
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