I would've thought to tie both networks together but allowing the two to be trained independently makes much more sense given the training data.

Google DeepMind received 1.6 million identifiable personal medical records on an "inappropriate legal basis", according to a letter written by Fiona Caldicott at the UK's National Data Guardian, a government watchdog that monitors patient confidentiality. The letter obtained by Sky News was sent to the medical director of the Royal Free NHS Trust in London on 20 February. The data sharing agreement between the trust and DeepMind was first revealed by a New Scientist investigation last year. Google's AI firm originally obtained the NHS patient records to test a smartphone app called Streams that could help monitor people with kidney disease. A quarter of acute kidney deaths are preventable if caught early, so DeepMind wanted to use its algorithms to try to spot early signs of the disease.

The transfer of 1.6m patient records to Google's artificial intelligence company DeepMind Health has been criticised for its "inappropriate legal basis" by the UK's national data guardian. In a letter leaked to Sky News, the national data guardian, Dame Fiona Caldicott, warned DeepMind's partner hospital, the Royal Free, that the patient record transfer was not for "direct care" since the data was initially used to test the app that the two organisations were working on, before patients were treated with it. The carefully worded letter does not directly state that the data transfer was unlawful, but while trusts are allowed to transfer data for direct care purposes, many other reasons for transferring the data require more explicit approval from regulators – approval the partnership lacks. The app, Streams, was first announced in February 2016 as a collaboration between the two organisations to diagnose acute kidney injuries in NHS patients. Its creation has led to a long-running row over the nature and propriety of information sharing between the two bodies.

Google's artificial intelligence division received the medical records of 1.6 million people on an "inappropriate legal basis", according to a leaked letter from a top government adviser. DeepMind controversially struck up a data-sharing deal with the Royal Free Hospital Trust, for the creation of an app called Streams. In February last year, Google said Streams would help hospital staff monitor patients with kidney disease, but a document obtained by New Scientist caused further concern when it revealed that DeepMind was receiving historical medical data, records of the location and status of patients, and even details about visitors. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Imagine how easy it would be to learn skating, if only it doesn't hurt everytime you fall. Unfortunately, we, humans, don't have that option. Robots, however, can now "learn" their skills on a simulation platform without being afraid of crashing into a wall. This is possible with the reinforcement learning algorithms provided by OpenAI Gym and the ROS Development Studio. You can now train your robot to navigate through an environment filled with obstacles just based on the sensor inputs, with the help of OpenAI Gym.

Google is one of the leaders at the moment when it comes to artificial intelligence applications. Just look at Google's DeepMind for example. This AI literally has the potential to revolutionize the world as we know it. The way in which Google envision our future is one that integrates the way we think of machines. DeepMind was acquired by Google back in 2014 when the company realized what an asset it would be, and they've been proved right.

In April 2017, DeepMind CEO Demis Hassabis drew on his eclectic experiences as an AI researcher, neuroscientist and videogames designer to discuss what is happening at the cutting edge of AI research, including the recent historic AlphaGo Go, and its future potential impact on fields such as science and healthcare, and how developing AI can help human better understand the human mind and explore new knowledge. Demis Hassabis (born 27 July 1976) was born to a Greek Cypriot father and a Chinese mother and grew up in North London. A child prodigy in chess, Hassabis reached master standard at the age of 13 with an Elo rating of 2300 (at the time the second highest rated player in the world Under-14 after Judit Polgár who had a rating of 2335) and captained many of the England junior chess teams. Now he is a pioneer in artificial intelligence, a neuroscientist, computer game designer, entrepreneur, and world-class games player.

You have to take the stairs to shatter the glass ceiling.

What are tech titans Google, Amazon and Uber agitating for to further the march of machine learning technology and ultimately inject more fuel in the engines of their own dominant platforms? Specifically, they're pushing for free and liberal access to publicly funded data -- urging that this type of data continue to be "open by default," and structured in a way that supports "wider use of research data." After all, why pay to acquire data when there are vast troves of publicly funded information ripe to be squeezed for fresh economic gain? Other items on this machine learning advancement wish-list include new open standards for data (including metadata); research study design that has the "broadest consents that are ethically possible," and a stated desire to rethink the notion of "consent" as a core plank of good data governance -- to grease the pipe in favor of data access and make data holdings "fit for purpose" in the AI age. These suggestions come in a 125-page report published today by the Royal Society, aka the U.K.'s national academy of science, ostensibly aimed at fostering an environment where machine learning technology can flourish in order to unlock mooted productivity gains and economic benefits -- albeit the question of who, ultimately, benefits as more and more data gets squeezed to give up its precious insights is the overarching theme and unanswered question here.

Researchers studying a deal in which Google's artificial intelligence subsidiary, DeepMind, acquired access to millions of sensitive NHS patient records have warned that more must be done to regulate data transfers from public bodies to private firms. The academic study says that "inexcusable" mistakes were made when, in 2015, the Royal Free NHS Foundation Trust in London signed an agreement with Google DeepMind. This allowed the British AI firm to analyse sensitive information about 1.6 million patients who use the Trust's hospitals each year. The access was used for monitoring software for mobile devices, called Streams, which promises to improve clinicians' ability to support patients with Acute Kidney Injury (AKI). But according to the study's authors, the purposes stated in the agreement were far less specific, and made more open-ended references to using data to improve services.