Google DeepMind has doubled the size of its healthcare team

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DeepMind, an AI research lab acquired by Google for 400 million in 2014, has provided an update on how its DeepMind Health unit is doing. The London-based company told Business Insider on Tuesday that it has doubled the size of its team from 20 to 40 since launching in February this year, hiring several big names in the AI world along the way. New hires include security and privacy expert Ben Laurie, who is the founding director of the Apache Software Foundation, a director at the Open Rights Group, and a veteran Google software engineer, and former CIO Tony Corkett, who helped the NHS to digitise X-rays. Former Google Maps team leader Andrew Eland has been brought in to head up DeepMind Health's engineering efforts, while Will Cavendish, a former civil servant that worked on NHS online booking and prescription services, has joined as strategy lead. Elsewhere, ex-GE Healthcare executive Cathy Harris has been appointed as DeepMind Health's product lead.


Google DeepMind Acquires Healthcare App

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What will Google do next? Google's London AI powerhouse has set up a new healthcare division and acquired a medical app called Hark, an article from Business Insider, tells us the latest. DeepMind, Google's artificial intelligence research group, launched a new division recently called DeepMind Health and acquired a healthcare app. The article describes DeepMind Health's new app called Hark, "Hark -- acquired by DeepMind for an undisclosed sum -- is a clinical task management smartphone app that was created by Imperial College London academics Professor Ara Darzi and Dr Dominic King. Lord Darzi, director of the Institute of Global Health Innovation at Imperial College London, said in a statement: "It is incredibly exciting to have DeepMind – the world's most exciting technology company and a true UK success story – working directly with NHS staff.


Google DeepMind and healthcare in an age of algorithms

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A key trend in contemporary healthcare is the emergence of an ambitious new cadre of corporate entrants: digital technology companies. Google, Microsoft, IBM, Apple and others are all preparing, in their own ways, bids on the future of health and on various aspects of the global healthcare industry. This article focuses on the Google conglomerate, Alphabet Inc. (referred to as Google for convenience). We examine the first healthcare deals of its British-based artificial intelligence subsidiary, DeepMind Technologies Limited,1 in the period between July 2015 and October 2016.2 In particular, the article assesses the first year of a deal between Google DeepMind and the Royal Free London NHS Foundation Trust, which involved the transfer of identifiable patient records across the entire Trust, without explicit consent, for the purpose of developing a clinical alert app for kidney injury.


Use of Google's DeepMind questioned for U.K. healthcare

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The deal between Google and the U.K. National Health Service was profiled by Digital Journal last November. The agreement centered on plans to develop a platform capable of sharing patient data with the aim of improving patient outcomes. This was by providing information about medical conditions with the aid of artificial intelligence. A secondary aim was to reduce the amount of paperwork by digitizing patient records. One aspect of the project involve sharing some million patient records, provided by London's Royal Free Hospital, with DeepMind.


Google DeepMind releases a 3-D world to nurture smarter AI agents

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Google DeepMind, a subsidiary of Alphabet that's focused on making fundamental progress toward general artificial intelligence, is releasing a new 3-D virtual world today, making it available for other researchers to experiment with and modify however they wish. The new platform, called DeepMind Lab, resembles a blockish 3-D first-person shooter computer game. Inside the world, an AI agent takes the form of a floating orb that can perceive its surroundings, move around, and perform simple actions. Agents can be trained to perform various tasks through a form of machine learning that involves receiving positive rewards. Simple example tasks that will come bundled with the platform include navigating a maze, collecting fruit, and traversing narrow passages without falling off.