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turing-contributions

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Turing went from drawing up a basic model for all computers to breaking down the constructs of complex chemical reactions with enviable ease. By 1943 the tide had turned – Alan Turing had developed the Naval Bombe, an adaptation of his decryption Bombe device capable of laying bare the secrets of the complex German Naval Enigma. Turing and his colleague Gordon Welchman built on the Polish machine at Bletchley Park. Turing and Church together hypothesised the idea of a universal Turing machine, a machine which could read and perform any algorithmic function – that is, a Turing machine that can simulate the algorithmic functions of any other Turing machine.


BP invests $20m into AI startup Beyond Limits to transform oil and gas exploration ZDNet

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Beyond Limits, which is commercialising technology used by NASA and the US Department of Defence, has announced securing $20 million from sole investor BP Ventures. The Series B round brings the total amount raised by the Pasadena, California-based artificial intelligence company to $25.5 million. Developed in the labs of NASA's Caltech deep space program, Beyond Limits' AI software is 20 years in the making. The company said the technology has been "battle tested in deep space where there is zero margin for error" and is subsequently a lot faster than other AI technology in the market. "It has been used in NASA for diagnostics of the NASA deep space network, for optimisation of Mars missions, and has even helped discover a weather model by tracking dust build and wind storm activity based on Mars rover battery and solar panel performance," Beyond Limits' CEO AJ Abdallat told ZDNet.


story.asp?NewsID=56922#.WTjq4euGPIU

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In a video message to the summit, Mr. Guterres called AI "a new frontier" with "advances moving at warp speed." The opening session of the summit is expected to give voice to the leading minds in AI, with breakout sessions focusing on issues such as sustainable living and poverty reduction. ITU Secretary-General Houlin Zhao, said the event "will assist us in determining how the UN, ITU and other UN agencies can work together with industry and the academic community to promote AI innovation and create a good environment for the development of artificial intelligence." The summit will run through Friday, with a closing session on "applying AI for good."


artificial-intelligence-is-powerful-stuff-but-difficult-to-scale-to-real-life-business

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In today's workplaces, it also helps to remain calm and hold back on emotions -- to an extent. Those are the cautionary words coming out of a recent CXO Talk webcast, joined by Dr. David Bray, CIO for the Federal Communications Commission, and Dr. Michael Chui, partner with McKinsey & Company. The challenge, he adds, is getting people ready for the changes AI and data analytics will bring about. It's almost an imperative for CIOs to really work closely with their chief executive officers, and serve as an internal venture capitalist, for how we bring data, to bring process improvements and organizational performance improvements - and work it across the entire organization as a whole."


Digital Payments, AI and VR will power the Indian economy in future

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According to Google-Boston Consulting Group (BCG) study, Indian digital payments industry will grow to $500 billion by 2020, contributing to 15% of GDP. Digital transactions have seen a dramatic increase in India in the past year due to push from both government and the private sectors. In India, post demonetization, it was time for India to go on a cashless ride where more emphasis was laid on Paytm, Payment Bank Arrival, Telecomm Disruption through Jio, Make in India and Digital India Initiatives. Last month Paytm raised $1.4 billion from Softbank and apps like Whatsapp are exploring the unified payment inter surface (UPI) to launch its payment solution in India. Another digital payment brand, MobiKwik has grown its user base from 35 million to 55 million since November 2016 and has over 1.5 million merchants on its platform. India recently lost the tag of'fastest growing economy' as its gross domestic product (gdp) slumped to its lowest in more than two years in the March quarter.


Cybersecurity gets more sophisticated – but so does hacking

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Just when you thought you had the ultimate password to foil hackers, along come new cyberthreats that make you WannaCry. Meet the new cyberthreats, in many cases driven by artificial intelligence (AI). Fortunately, the new countermeasures are starting to deploy AI as well. "What we have seen in the last while is that passwords have kind of broken down. Weak passwords – that's what's behind a lot of the recent breaches we have seen," says Deepak Dutt, founder and chief executive officer of Zighra, a Toronto-based cybersecurity company.


Blood from the Sky: Zipline's Ambitious Medical Drone Delivery in Africa

MIT Technology Review

You can hear the drone before it's visible, whining like a mosquito above the hillside grounds of Rwanda's Kabgayi District Hospital. Emerging through a patch of fog, roughly 100 feet in the air, the small plane quickly disappears again, circling in an oblong pattern as it descends toward an altitude low enough to make its drop. After a period of silence, it's suddenly back, swooping over the roof of Kabgayi's accident ward to drop its payload on the driveway with a thud. On the ground lies a red cardboard container, roughly the size of a shoebox, attached to a parachute made of wax paper and biodegradable tape. The contraption may resemble a children's art project, but its contents are lifesaving.


UK police arrest man via automatic face-recognition tech

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While AFR tech has been trialled by a number of UK police forces, this appears to be the first time it has led to an arrest. South Wales Police didn't provide details about the nature of the arrest, presumably because it's an ongoing case. Back in April, it emerged that South Wales Police planned to scan the faces "of people at strategic locations in and around the city centre" ahead of the UEFA Champions League final, which was played at the Millennium Stadium in Cardiff on June 3. On May 31, though, a man was arrested via AFR. "It was a local man and unconnected to the Champions League," a South Wales Police spokesperson told Ars.


AI summit aims to help world's poorest

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In the world's wealthiest neighbourhoods, artificial intelligence (AI) systems are starting to steer self-driving cars down the streets, and homeowners are giving orders to their smart voice-controlled speakers. But the AI revolution has yet to offer much help to the 3 billion people globally who live in poverty. That discrepancy lies at the heart of a meeting in Geneva, Switzerland, on 7–9 June, grandly titled the AI for Good Global Summit. The meeting of United Nations agencies, AI experts, policymakers and industrialists will discuss how AI and robotics might be guided to address humanity's most enduring problems, such as poverty, malnutrition and inequality. Development agencies are buzzing with ideas, although only a few have reached the stage of pilot experiments. But scientists caution that the rise of AI will also bring societal disruption that will be hard to foresee or manage, and that could harm the world's most disadvantaged.


Context encoders as a simple but powerful extension of word2vec

arXiv.org Machine Learning

With a simple architecture and the ability to learn meaningful word embeddings efficiently from texts containing billions of words, word2vec remains one of the most popular neural language models used today. However, as only a single embedding is learned for every word in the vocabulary, the model fails to optimally represent words with multiple meanings. Additionally, it is not possible to create embeddings for new (out-of-vocabulary) words on the spot. Based on an intuitive interpretation of the continuous bag-of-words (CBOW) word2vec model's negative sampling training objective in terms of predicting context based similarities, we motivate an extension of the model we call context encoders (ConEc). By multiplying the matrix of trained word2vec embeddings with a word's average context vector, out-of-vocabulary (OOV) embeddings and representations for a word with multiple meanings can be created based on the word's local contexts. The benefits of this approach are illustrated by using these word embeddings as features in the CoNLL 2003 named entity recognition (NER) task.