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Google's Mesmerizing Game Turns Scribbles Into Satellite Images

WIRED

Satellite images, with their zoomed-out view, have a way of reducing the world's features to a series of shapes and lines. In a new project called Land Lines, artists Zach Lieberman and Matt Felsen partnered with Google's Data Arts team to create an interactive platform that lets people explore these shapes with the drag of a finger. Think of Land Lines as reverse Google image search, but for lines. Using computer vision technology, Liberman and co were able to build a tool that matches hand-drawn lines to those found in a database of more than 50,000 Google satellite images. Draw a line on your desktop or phone, and Land Lines will find a landmass, freeway, bridge, river--something--that follows the same contour.


Machine learning will make sure no one steals your logo

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A computer's ability to accurately identify images is a white whale for many technology companies, from Baidu to Google. One Australian startup has found a corner of the market to dominate, winning contracts with the European Union Intellectual Property Office (EUIPO) and IP Australia for algorithms that can detect and compare logos. SEE ALSO: Airbnb is getting into the airline booking disruption game with'Flights' TrademarkVision, which has support from Australia's CEA Startup Fund, uses machine learning to support image searches that can identify similar trademarks. Having a unique trademark or logo is vital, but many intellectual property registration bodies often require outdated forms of non-visual search that make comparison difficult. Australia, for example, relies on keywords, Europe on Vienna codes and the U.S. on design codes.


Drones from U.S. disappoint Ukraine at the front lines

The Japan Times

WASHINGTON โ€“ Millions of dollars' worth of U.S.-supplied drones that Kiev had hoped would help in its war against Russian-backed separatists have proven ineffective against jamming and hacking, Ukrainian officials say. The 72 Raven RQ-11B Analog mini-drones were so disappointing following their arrival this summer that Natan Chazin, an advisor to Ukraine's military with deep knowledge of the country's drone program, said if it were up to him, he would return them. "From the beginning, it was the wrong decision to use these drones in our (conflict)," Chazin, an adviser to the chief of the general staff of Ukraine's armed forces, told Reuters. The hand-launched Ravens were one of the recent highlights of U.S. security assistance to Ukraine, aiming to give Kiev's military portable, light-weight, unarmed surveillance drones that were small enough to be used widely in the field. They are made by AeroVironment.


Machine-learning communities will help businesses fight hacker fraternisation, predict insider threats

#artificialintelligence

Cybercriminals are collaborating to refine their attacks and businesses must do the same by leveraging a growing body of open-source security tools, a security expert has advised as open-source machine learning puts the technology into the mainstream. Mainstream adoption of machine-learning techniques has become crucial for businesses that are being inundated with security-related data and are well past the hope of having humans โ€“ or security information and management (SIEM) platforms โ€“ keep up with the flood, Cloudera chief security architect Eddie Garcia recently told CSO Australia. "The machine learning part makes a huge difference," he said. "Whereas before SIEM technology searched for known patterns like DDoS or brute-force attacks, machine learning recognises a baseline of what normal activity is, and uses this to recognise anomalies." Machine-learning techniques exploded into the mainstream during 2016, with the launch of the Intel-Cloudera based Apache Spot platform http://spot.incubator.apache.org a turning point in the adoption of machine-learning techniques to security analytics.


AI is here - What is the role of government

#artificialintelligence

You ask your smartphone virtual assistant to make an appointment for you. You receive a message alert from your bank enquiring if you made a certain transaction. You receive recommendations for music or movies or online purchases based on your past behaviour. These are all examples of Artificial Intelligence (AI) entering your daily life. There is no widely accepted definition of the term or what constitutes AI. Definitions are usually based on some variation of computerized systems or computers exhibiting behaviour or thought that is normally demonstrated by humans or requires intelligence (which itself is hard to define). It could involve rationally solving complex problems or taking appropriate actions to achieve objectives in real world circumstances.


From spidery starfish to coconut-shaped sponges: Robot provides a rare glimpse under Antarctic sea ice

Daily Mail - Science & tech

Australian team captured unique footage using submersible Camera recorded a surprisingly varied array of sea life on display Sea ice 1.5 metres (nearly 5 ft) thick covers the area for 10 months of the year Ecosystem could be threatened by increasing ocean acidity Sea ice 1.5 metres (nearly 5 ft) thick covers the area for 10 months of the year Watch an incredible life-sized Iron Man suit in action:... Swimming with wild dolphins'puts them at risk of death'... Earth's escaping atmosphere could WIPE OUT life and... Russia's goes nuclear to the North Pole: Reactor-powered... Watch an incredible life-sized Iron Man suit in action:... Swimming with wild dolphins'puts them at risk of death'... Earth's escaping atmosphere could WIPE OUT life and... Russia's goes nuclear to the North Pole: Reactor-powered... The pictures of the brightly coloured marine life were captured by researchers in Antarctica who are working on a better understanding of the impact of acidification on marine life on the sea floor. The pictures were captured by researchers in Antarctica who are working on a better understanding of the impact of acidification on marine life on the sea floor. The study was carried out near Australia's Casey research station, where marine life exists in water that is -1.5 degrees Celsius (29.3 degrees Fahrenheit) year round and covered in 1.5 metres (nearly five feet) of sea ice for 10 months of the year Angela Rye shares video of her invasive ordeal with TSA agent Boeing cargo plane overshoots runway before crashing in Colombia Male guests in a Chinese wedding flock to harass a bridesmaid Girl shouts at her poor Grandpa over her iPhone appointment Prisoner batters officer who finds him recording show on laptop Couple surprise family members with new SECRET baby Large explosion at fireworks market in Tultepec, Mexico. BMW driver tries to ram car off the road after slip lane mishap Notre Dame player surprised by brother's military homecoming Kung Fu truck driver gets revenge on man who stole his phone Group of killer whales prowl seas and attack shark Koala covered in burrs gets his fur groomed in adorable video Large explosion at fireworks market in Tultepec, Mexico.


The IBM Chef Watson Project: A Metaphor for Discovery

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Artificial intelligence: The 3 big trends to watch in 2017 - TechRepublic

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In 2016, the White House recognized the importance of AI at its Frontiers Conference. The concept of driverless cars became a reality, with Uber's self-driving fleet in Pittsburgh and Tesla's new models equipped with the hardware for full autonomy. Google's DeepMind platform, AlphaGo, beat the world champion of the game--10 years ahead of predictions. "Increasing use of machine learning and knowledge-based modeling methods" are major trends to watch in 2017, said Marie desJardins, associate dean and professor of computer science at the University of Maryland, Baltimore County. How will this play out?


2017 Conference

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ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS). The 34th International Conference on Machine Learning (ICML 2017) will be held in Sydney, Australia, starting on Sunday, August 6th until Friday, August 11th, 2017.


Advance Analytics with R, Azure Machine Learning, Power BI and Microsoft R Server

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You will learn the main data structure in R, Managing Data with R, Exploring and Understanding Data in R (exploring numeric variable, categorical variable and relationship between variables). Moreover, audience learn how to use some of the main packages in R. You will learn different types of machine learning algorithms and how they work and how they can solve different type of real life problems. At the end of this module you will able to choose right algorithm for right problem.