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Can Artificial Intelligence Be Ethical?
PRINCETON โ Last month, AlphaGo, a computer program specially designed to play the game Go, caused shockwaves among aficionados when it defeated Lee Sidol, one of the world's top-ranked professional players, winning a five-game tournament by a score of 4-1. Why, you may ask, is that news? Twenty years have passed since the IBM computer Deep Blue defeated world chess champion Garry Kasparov, and we all know computers have improved since then. But Deep Blue won through sheer computing power, using its ability to calculate the outcomes of more moves to a deeper level than even a world champion can. Go is played on a far larger board (19 by 19 squares, compared to 8x8 for chess) and has more possible moves than there are atoms in the universe, so raw computing power was unlikely to beat a human with a strong intuitive sense of the best moves.
Facebook F8: Messenger to get new robot powers and virtual reality to roll out at company's developer conference
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
Atos aims to deliver an exaflop supercomputer to French government by 2020
Computer manufacturer Atos has named its first customer for Bull sequana, a supercomputer design it hopes will reach exaflop levels of performance by 2020. Atos is building the computer for the French Alternative Energies and Atomic Energy Commission (CEA), it said Tuesday. By targeting 2020 for delivery of an exaflop supercomputer, Atos is entering a race in which China and Japan may already have a head-start. An exaflop is a billion billion floating-point operations per second (flops). That's way more than today's fastest machine can manage: China's Tianhe-2 has a maximum performance of 33.9 petaflops (millions of billions of flops), according to the November 2015 edition of the Top500 supercomputer rankings.
Data Science Dates Big Cloud Recruitment
We've compiled a list of the hottest events and conferences from the world of Data Science and Machine Learning this year that we think you should know about! Image Processing, Computer Vision and Machine Learning based on Optimization and PDE.(Oslo, Norway) 29th August https://ivlopde2016.wordpress.com/
Emoji meanings vary hugely between platforms, meaning characters can lead to vast miscommunication, study finds
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
Google's London AI powerhouse has set up a new healthcare division and acquired a medical app called Hark
Google DeepMind, the search giant's artificial intelligence company in London, has officially announced its first big push into medical technology. The research-intensive startup launched a new division called DeepMind Health and acquired a university spinout company with a healthcare app called Hark. It has also built an app with the NHS called "Streams." DeepMind Health, announced on the DeepMind website on Wednesday, will be led by Mustafa Suleyman, cofounder and head of applied AI at Google DeepMind. He will oversee a team of approximately 15 people, according to Bloomberg, aiming to develop digital tools that improve patient care.
Investing in artificial intelligence - raconteur.net
If robots are taking our jobs, they may also support our retirement. Bank of America Merrill Lynch estimates that 47 per cent of US jobs and 33 per cent of UK jobs have the potential to be automated. But the technology that could fill those jobs โ robotics and artificial intelligence โ is both a threat to some workers and a potential area of growth for investors, notably pension funds, seeking to capitalise on the new wave of industrialisation. "It's the next generation," says Philippe Cerf, Europe, Middle East and Africa co-head of the technology, media and telecommunications group at investment bank Credit Suisse. "Machine-learning is applied to some extent across all tech these days."
Meet our customers - Chiron
The CHIRON consortium are aiming to revolutionise long-term care with exciting robotic technology. We hear this phrase almost every day and we recognise that this is an area where we need to do a lot of convincing. However, we are really excited by the possibilities that robotics can offer. The CHIRON consortium is a somewhat unlikely group of experts and professionals from across the UK. Jobeda Ali from Three Sisters Care was the driving force behind the CHIRON consortium.
Why the future of finance is (still) automation - Transforming Business
A recent study by researchers at Oxford University and consultants Deloitte may have given finance professionals pause for thought. It found that, based on the nature of their work and the expected advance of machine intelligence, it is 95% likely that charted accountants will be replaced by some form of automation over the next 20 years. That is a startling figure, but it should come as no surprise that the work of the finance department is ripe for automation. Since 2004 the median number of full-time employees working in the function at big companies has declined by 40% to about 71 people for every US 1bn of revenue, down from 119 people, according to Hackett Group, a consulting firm. This is due, in part at least, to the increased use of automation within the finance department, the researchers say.
Take A Photo, And This Crazy Neural Network Can Deduce Where You Are
Even the savviest city residents get lost sometimes. According to one estimate, 33% of New Yorkers have no idea which way is north at any given time. And anyone who has used Google Maps knows that GPS can be wildly unreliable. Could there be a better way to find your place on a map than by relying on satellite positioning and Wi-Fi triangulation? As highlighted on Prosthetic Knowledge, researchers at the University of Cambridge have created a promising neural network called PoseNet. From a single snapshot from wherever you stand, it can localize your position in just 5ms--that's about 60 times faster than it takes you to blink.