This picture show the facilities of the Google data center in Changhua, central Taiwan, on December 11, 2013. US search engine giant Google announced that it has decided to double its investment in Taiwan to $600 million while opening its first data centre in Asia cashing in on the robust demands. Google is trusting an artificial intelligence (AI) system developed by DeepMind to stop its data centres around the world from overheating. The AI system -- able to reduce the amount of energy Google used to cool its data centres by 40% -- has been giving cooling recommendations to Google's data centre operators since 2016. But now Google is allowing the data centre operators to take a back seat, giving the AI an unprecedented level of autonomy in the process.

Tech industry insiders regularly herald AI as the solution to all of our problems, included those posed by health care. London-based DeepMind, owned by Google's parent company, Alphabet, focuses heavily on the specifics of using artificial intelligence in health care, and on Monday it released a study showing the progress it's made in using AI to diagnose eye conditions. Published in the science journal Nature Medicine, the study reports that DeepMind, in partnership with Moorfields Eye Hospital in London, has trained its algorithms to detect over 50 sight-threatening conditions to the same accuracy as expert clinicians. In a project that began two years ago, DeepMind trained its machine learning algorithms using thousands of historic and fully anonymized eye scans to identify diseases that could lead to sight loss. According to the study, the system can now do so with 94 percent accuracy, and the hope is that it could eventually be used to transform how eye exams are conducted around the world.

DeepMind, a Google-owned artificial intelligence company, has developed an AI system that can accurately identify 50 different types of eye condition as accurately as a doctor. The system -- capable of analysing 3D retinal OCT scans for early signs of conditions like glaucoma, diabetic eye disease and macular degeneration -- has been developed through a joint research partnership with Moorfields Eye Hospital in London over the last 18 months. The AI, which can correctly identify types of eye disease from OCT scans 94.5% of the time, learned how to detect eye conditions by studying approximately 15,000 anonymous eye scans. The results of the trial were published in the journal Nature Medicine on Monday. DeepMind cofounder Mustafa Suleyman, who leads DeepMind Health, claimed in a blog post that the AI system could help to save people's sight, adding that it could one day be rolled out in hospitals around the world.

Next week, scientists working on artificial intelligence (AI) and games will be watching the latest human-machine matchup. But instead of a single pensive player squaring off against a computer, a team of five top video game players will be furiously casting magic spells and lobbing (virtual) fireballs at a team of five AIs called OpenAI Five. They'll be playing the real-time strategy game Dota 2 at The International in Vancouver, Canada, an annual e-sports tournament that draws professional gamers who compete for millions of dollars. In 1997, IBM's Deep Blue AI bested chess champion Garry Kasparov. In 2016, DeepMind's AlphaGo AI beat Lee Sedol, a world master, at the traditional Chinese board game Go.

Google's AI division is making artificial intelligence more alien, a copy of Fahrenheit 451 you need to burn to read and the arrival of Windows Mixed Reality headsets - this is what you might have missed this week in tech news.Oct.21.2017

Artificial intelligence can diagnose eye disease as accurately as some leading experts, research suggests. A study by Moorfields Eye Hospital in London and the Google company DeepMind found that a machine could learn to read complex eye scans and detect more than 50 eye conditions. Doctors hope artificial intelligence could soon play a major role in helping to identify patients who need urgent treatment. They hope it will also reduce delays. A team at DeepMind, based in London, created an algorithm, or mathematical set of rules, to enable a computer to analyse optical coherence tomography (OCT), a high resolution 3D scan of the back of the eye.

An AI system created by Google's DeepMind Health, Moorfields Eye Hospital NHS Foundation Trust, and University College London (UCL) Institute of Ophthalmology can correctly determine how to refer optometry patients in 94 percent of cases, putting it on par with top human experts. The advances in AI-driven eye disease treatment were detailed in a study being published online in the journal Nature Medicine. Results of the work that began in 2016 were first made public in a Financial Times report in February, which found AI used to analyze retinal scans for signs of the biggest eye diseases -- like glaucoma, age-related macular degeneration, and diabetic retinopathy -- could be more accurate than trained human experts. Neural networks trained to discover patterns in images have also been used to do things like detect cardiovascular disease, breast cancer, and kidney disease. "The AI technology we're developing is designed to prioritize patients who need to be seen and treated urgently by a doctor or eye care professional," said UCL scientist Dr. Pearse Keane in a statement shared with VentureBeat.

AI research group DeepMind created the new tech that is able to spot key signs of eye disease just as well as the world's top doctors. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. AI research group DeepMind created the new tech that is able to spot key signs of eye disease just as well as the world's top doctors.

Google's AI division is making artificial intelligence more alien, a copy of Fahrenheit 451 you need to burn to read and the arrival of Windows Mixed Reality headsets - this is what you might have missed this week in tech news.

DeepMind's artificial intelligence can now spot key signs of eye disease as well as the world's top doctors. Anonymous diagnostic data from almost 15,000 NHS patients was used to help the AI learn how to spot 10 key features of eye disease from complex optical coherence tomography (OCT) retinal scans. An OCT scan uses light rather than X-rays or ultrasound to generate 3D images of the back of the eye, revealing abnormalities that may be signs of disease. The system has the potential to prevent irreversible sight loss by ensuring that patients with the most serious eye conditions receive early treatment. DeepMind's new system was developed alongside scientists at Moorfields, University College London.