Posts in category

Machine Learning


Fairness, trust and transparency are qualities we usually associate with organisations or individuals. Today, these attributes might also apply to algorithms. As machine learning systems become more complex and pervasive, Cambridge researchers believe it’s time for new thinking about new technology. Dr Jat Singh is familiar with breaking new ground and working across disciplines. Even …

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Computers that learn for themselves are with us now. As they become more common in ‘high-stakes’ applications like robotic surgery, terrorism detection and driverless cars, researchers ask what can be done to make sure we can  trust them. There would always be a first death in a driverless car and it happened in May 2016. …

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The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers’ ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will …

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It used to be that only Hollywood production companies with deep pockets and teams of skilled artists and technicians could make deepfake videos, realistic fabrications appearing to show people doing and saying things they never actually did or said. Not anymore – software freely available online lets anyone with a computer and some time on …

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A new Centre at the University of Cambridge will develop artificial intelligence techniques to help address some of the biggest threats facing the planet.  Funded by UK Research and Innovation (UKRI), the Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) is one of 16 new Centres for Doctoral …

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Microsoft Build 2019 | From Zero to AI Hero–Automatically generate ML models using Azure Machine Learning Session ID: BRK3009   Automated ML is an emerging field in Machine Learning that helps developers and new data scientists with little data science knowledge build Machine Learning models and solutions without understanding the complexity of Learning Algorithm selection, …

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Our lives are already enhanced by AI – or at least an AI in its infancy – with technologies using algorithms that help them to learn from our behaviour. As AI grows up and starts to think, not just to learn, we ask how human-like do we want their intelligence to be and what impact …

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Microsoft Build 2019 | Want to *actually* do machine learning? Wrangle data build models and deploy them Session ID: BRK2005   Everyone wants to do machine learning, but what does it actually take to make it a reality? Azure Machine Learning service accelerates the end-to-end machine learning lifecycle, enabling data scientists and developers to quickly …

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Microsoft Build 2019 | Building Autonomous Systems with Machine Teaching Session ID: THR3006   Building autonomous systems with traditional Machine Learning techniques is difficult. Machine Teaching is a new approach to building intelligence using deep reinforcement learning. Come to this session to learn how to use machine teaching to apply expert knowledge to create deep …

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MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy. A novel system developed by MIT researchers automatically “learns” how to schedule data-processing operations across thousands of servers — a task traditionally reserved for imprecise, human-designed algorithms. Doing so could help today’s power-hungry data centers run far more …

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