PowerAI London is a group for Data Scientists, Developers and Business people who are interested in Machine Learning, using Open Source tools on IBM's technology. Whether you're just getting started, or if you're looking to build models on enterprise scale datasets at serious scale, this is the group for you. Join in and collaborate with other like-minded people working with Machine Learning or Deep Learning.
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Deep Learning in Academia - User Stories from Researchers
Come explore an evening of deep learning in academia with insights into NHS and Law enforcement data use.
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University College London - Deep Learning with NHS Data
Featuring Robert Gray and Dr Parashkev Nachev
Dr Parashkev Nachev and Robert Gray will discuss the work they are doing with NHS data, to improve operational efficiency, and improve patient outcomes.
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Queen Mary University London - Video Analysis with Deep Learning
Featuring Professor Shaogang Gong
Prof Sean Gong will talk about the work he is doing researching Computer Vision and Machine Learning, including work with Law Enforcement agencies.
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Deep Learning in Ocean Engineering and Bioinformatics
Featuring Chekuri Choudary
We present insights on implementing state-of-the-art deep learning applications in the fields of ocean engineering and bioinformatics on a high-performance computing cluster.
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Deep Learning and Smart Cities
Featuring Rodrigo Ceron
City planners creating smarter cities faces enormous challenges including planning routes, strategies to minimize traffic congestion, commuting times, pollution and, most importantly, reducing accidents. Many smart cities can monitor what happens, but now they are looking to use AI to...
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Optimizing Object Detection Training for Manufacturing Applications
Featuring Masanori Mitsugi
Object Detection is one of the most important application for manufacturing processes across multiple industries. SSD (Single Shot Multi-box Detector) is a commonly used algorithm for object detection because of its high speed and accuracy.
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Using Deep Learning to Translate Hieroglyphics for the Tourism Industry
Featuring Amr Mostafa
The Grand Museum of Egypt in Cairo wanted to provide an innovative service to improve access to information for its visitors. Using a deep learning app, tourists can use their smart phones to point to any museum artifact with hieroglyphics, which are then translated and presented with historical...
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Human-in-the-loop analytics and machine learning
Featuring Leigh Chase
In this talk we will discuss the role of human-in-the-loop analytics that incorporate machine learning or reasoning capabilities. Our emphasis is on how machine learning can enhance and engage the experience of analysts working in domains such as cyber security and support complex decision-making...
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Driverless AI
Featuring Joe Chow
H2O Driverless AI is an artificial intelligence (AI) platform that automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection and model deployment. It aims to achieve highest predictive accuracy,...
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DSX (Data Science Experience) Demo
Featuring Mark Woolnough
Data Science Experience is an IBM tool set that allows Data Scientists to create and share their Jupyter notebooks in a more collaborative and manageable way. With support for common data science environments including Python, Scala and R, as well as the majority of Machine Learning and Deep...