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Apple's set to reveal the next generation of the iPhone

Washington Post - Technology News

It's all over but the waiting for Apple fans, who should get to see two new models of the iPhone unveiled Wednesday in San Francisco. The launch event may provide some clues about Apple's future, as the company deals with a slowing smartphone market. Apple's iPhone sales have dropped over the past year for the first time in the device's history. As a result, the company has poured more effort into services such as Apple Music, its voice assistant, Siri, and smart-home management -- all as a way to make users even more reliant on iPhones, regardless of whether they are the latest model. Consumers may already have seen a glimpse of Apple's future this summer when the company showed off how its mobile operating system, iOS 10, which will allow outside developers to use Siri more deeply for their own apps and create new functions for Apple's Messages service.


Language Models II: Word Segmentation

#artificialintelligence

"The future is independent of the past, given the present." Orthography encapsulates a set of conventions for a written language, which includes spellings, punctuation, hyphenation, capitalisation, and other features. For example, in English, we begin a sentence with a capital letter and have spaces between words; each word is spelt in a unique way (most of the times), and we use commas to separate clauses and mark the end of a sentence with a period. Reading about the history of English spelling is fascinating. You probably know Geoffrey Chaucer for his collection of short stories, The Canterbury Tales.


What eBay's Machine Learning Advances Can Teach IT Professionals - InformationWeek

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For four years, eBay has been collecting customer search data, along with search click-through rates and other customer interaction data, and feeding the information into its machine learning system. In an interview with InformationWeek, Dan Fain, the company's VP of engineering, outlined the steps being taken, and the business motivation behind them. The use-cases are worth exploring for any IT professional looking to help improve a company's bottom line by applying machine learning to customer-facing applications. Search, customer click patterns, language translations, item recommendations, and image analysis are among the key ways machine learning is being put to use at eBay, according to Fain. The first, and most important, application of machine learning is to improve search functions on eBay.com, according to Fain. "We have several machine learning models working behind the scenes to ensure we get the best search results," said Fain in our interview.


Macquarie Bank gets personal with DataStax tech - IBS Intelligence

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Australia's Macquarie Bank has deployed a new digital banking service, inspired by the data strategies used at the likes of Spotify and Netflix and tapping DataStax Enterprise and the NoSQL database. This includes search-how-you-speak technology; the ability to tag and track transactions; upload receipts and warranties; set saving and spending goals; and automatically categorise spending through machine learning technology. "We looked at the experience consumers receive from popular social media sites, search engines and video and music streaming services, and saw an opportunity to use leading edge technology to bring the same personalised and intuitive experience to banking," says Luis Uguina, Chief Digital Officer for Macquarie's Banking and Financial Services Group, who joined the FI in 2014 from Spain's BBVA. "To do this, we needed a scalable technology platform able to provide real-time value, and working with DataStax Enterprise has enabled us to be more nimble and utilise the most up-to-date technological capabilities available."


Fuzzy logic and online translations

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In the IT world it is very important to get things exactly right, unless of course you are dealing with fuzzy logic. If your banking system, for example, is out by a decimal place, this can lead to some very unhappy customers or some very happy ones and a less than happy bank. There are many areas where calculations and units of measure are vital, just ask one of the Mars exploration landing teams. Not so obvious are making sure that things like translation services are accurate, as Microsoft found out recently. The Bing search engine saw some very red-faced Redmondites when Saudi Arabian users found that "Daesh" has been translated as "Saudi Arabia". For those not familiar with the term, Daesh is one name for Isis.


Merging of man and machine: questions of ethics in dealing with emerging technology

#artificialintelligence

Technology has fundamentally altered our lives and will continue to do so. Ethical considerations must remain guiding posts at all times. Undoubtedly, how we approach the regulation of emerging technologies will have wide implications for our definition of human dignity and the equality of individuals. The Green Working Group Robotics - Jan Philipp Albrecht, Max Andersson, Julia Reda, Michel Reimon and Terry Reintke - would like to invite you to a public hearing on "Merging of man and machine: questions of ethics in dealing with emerging technology". With this and further discussions we would like to develop a position on how society should respond to questions like How will our lives and our society change with the increasing fusion with modern technology?


Sync NI - Video - Artificial Intelligence: Can a computer learn to be creative?

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Artificial Intelligence: Can a computer learn to be creative? Blaise Agüera y Arcas, principal scientist at Google, works with deep neural networks for machine perception and distributed learning. In this captivating demo, he shows how neural nets trained to recognize images can be run in reverse, to generate them. The results: spectacular, hallucinatory collages (and poems!) that defy categorization. "Perception and creativity are very intimately connected," Agüera y Arcas says.


Super Intelligence for The Stock Market

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Numerai is synthesizing machine intelligence to command the capital of an American hedge fund. In the late 90s and early 2000s, new algorithms such as AdaBoost and Random Forests made breakthroughs in machine learning. The principle behind each of these algorithms was very simple: build many decision tree models that each learn something different, and then average them all together to create an ensemble model. These algorithms worked incredibly well. They were easy to understand, and computationally efficient.


The AI Update, from RE•WORK

#artificialintelligence

The worlds of AI, Deep Learning and Machine Intelligence are rapidly evolving and it's hard to keep up! To help you get up-to-date we've rounded up the latest must-see AI news, interviews and videos. RE•WORK blogs Should We Be Rethinking Unsupervised Learning? Meet the Woman Behind the Personality of Microsoft's AI Assistant'Cortana' Deborah Harrison believes people should come to expect civility, humor, transparency and kindness from interactions with AI, just as they expect the ability to update a calendar. Democratising Deep Learning: Q&A With Prof. Neil Lawrence It has taken 20 years to go from defeating Kasparov at Chess to Lee Sedol at Go, but what have the real advances been across this time?


Sony to reveal new PlayStation 4 consoles

USATODAY - Tech Top Stories

Sony will have some buzzworthy news of its own Wednesday in New York, when it unveils two new PlayStation 4 video game consoles and provides the finishing details on its PlayStation VR virtual reality system before the headset hits shelves next month. Similar to Apple, Sony's invitation to the event (or "PlayStation Meeting" as they titled it) was incredibly vague, but here's what we're expecting. Rumors over the last few months have pointed to Sony unveiling two new PS4s at the event. The first is a thinner version of the current PS4, dubbed the Slim. According to leaks online last last month, the Slim would largely be a redesign of the current PlayStation 4 with a thinner, sleeker design.