How DeepMind uses Big Data in practice DeepMind’s work is based on a solid grounding in neuroscience. This has underpinned the company’s strategy of developing AI by teaching computers to mimic the thought processes of our own brains, in particular, how we use information to make decisions and learn from our mistakes.

Google’s interest in DeepMind likely lies in advancing the fields of machine learning and simulated neural networks – developing machines with more human-like thought processes, with the capacity to carry out jobs which previously would have required trained humans. Aside from winning at games, DeepMind has also been implemented across numerous healthcare projects, such as a collaboration with UCL’s radiotherapy department to reduce the amount of time it takes to plan treatments.

The group has said that by unleashing machine learning on the process of mapping a patient’s head and neck area, the time taken to create treatment plans for these complicated procedures could be reduced from four hours to around one hour. One specific DeepMind project involves a collaboration with London’s Moorfields Eye Hospital.

DeepMind has been given access to one million images from historical eye scans, along with associated (anonymised) patient data. It is training itself to read the scans and spot early signs which may indicate the onset of degenerative eye conditions.

Ideas and insights you can steal Google is not seeing any direct profits from DeepMind’s healthcare partnerships, which may initially seem strange. But all Google is really doing is staying true to its core belief that knowledge – or data – is the real prize. Read more from…

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