Genre
Non-convex regularization in remote sensing
Tuia, Devis, Flamary, Remi, Barlaud, Michel
In this paper, we study the effect of different regularizers and their implications in high dimensional image classification and sparse linear unmixing. Although kernelization or sparse methods are globally accepted solutions for processing data in high dimensions, we present here a study on the impact of the form of regularization used and its parametrization. We consider regularization via traditional squared (2) and sparsity-promoting (1) norms, as well as more unconventional nonconvex regularizers (p and Log Sum Penalty). We compare their properties and advantages on several classification and linear unmixing tasks and provide advices on the choice of the best regularizer for the problem at hand. Finally, we also provide a fully functional toolbox for the community.
3 good resources for humans who want to learn more about machine learning
If you're a child of the '80s like me, you might recognize this famous line from the movie WarGames. This innocent-sounding question comes not from one of the movie's human stars, but from a military super-computer named Joshua, after a bored high school student, played by Matthew Broderick, accesses the computer's hard drive. Thinking he's hacked into a video game company, Broderick's character accepts Joshua's challenge and chooses the most intriguing game he can find: global thermonuclear war. Joshua is an intelligent computer programmed to learn through simulations like the one Broderick's character initiates. And because the computer actually does control the arsenal of U.S. nuclear weapons, it's a "game" that puts the planet on the brink of World War III.
IDG Connect UK: A Big Data & Machine Learning Approach to Diabetes?
Outcomes Based Healthcare and Big Data Partnership have won an Innovate UK grant for a 1m project to change healthcare's approach to diabetes. In partnership, these two organisations will be creating "a dashboard and software product for doctors to predict and pre-treat for complications of diabetes." The press release explains that this will utilise health and non-health data in conjunction with advanced Machine Learning and analytics techniques to develop a system that can identify the progression of the disease. This will come from a local London population. The reason this Big Data and Machine Learning approach is interesting though, is it offers a top-line independent perspective on a difficult disease.
RaRe Technologies Announces Much Anticipated Release for Gensim - a Machine Learning Toolkit for Understanding Human Language
Gensim users and developers have shaped the newest release 0.13.0 through their comments, requests and Python code contributions. The release includes new features like Word Movers Distance (WMD) and offers a new tool which is used to tune Topic Models. RaRe Technologies today announced a major update of the software package Gensim, an open source machine learning toolkit for understanding human language. Gensim users and developers have shaped the newest release 0.13.0. This release includes new features like Word Movers' Distance (WMD)*, a novel distance function between unstructured text documents, plus new Tutorials and Quickstarts.
Google's AI researchers say these are the five key problems for robot safety
Google is worried about artificial intelligence. No, not that it will become sentient and take over the world, but that, say, a helpful house robot might accidentally skewer its owner with a knife. The company's latest AI research paper delves into this issue under the title "Concrete Problems In AI Safety." Really, though, that's just a fancy way of saying "How Are We Going To Stop These Terror-Bots Killing Us All In Our Sleep." To answer this brain-tickler, Google's computer scientists have landed on five "practical research problems" -- key issues that programmers will need to consider before they start creating the next Johnny Five.
Spotify down: Music app breaks on a bad day for streaming sites
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
macOS Sierra first look review: Slick and subtle changes make for a sophisticated update to your Mac
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
Artificial Intelligence for Vehicles Is Entering the Speed Lane - DZone Big Data
IHS Technology has announced that AI in new vehicles is projected to increase over 1700 percent by 2025. Car manufacturers shipped seven million AI systems in new cars throughout 2015, and that number is expected to be 122 million in 2025. AI systems are expected to be varied and perform multiple functions. "An artificial-intelligence system continuously learns from experience and by its ability to discern and recognize its surroundings," said Luca De Ambroggi, principal analyst at IHS Technology. "It learns, as human beings do, from real sounds, images, and other sensory inputs. The system recognizes the car's environment and evaluates the contextual implications for the moving car." Areas of development include eye-tracking, driver monitoring, natural language interfaces, and speech and gesture recognition.
28RGTUj
A host of leading industry experts gathered to discuss the launch of The Drum's Cannes Lions special edition guest edited by IBM's artificial intelligence (AI) technology Watson, which used machine learning to channel the creativity of David Ogilvy, arguably the godfather of advertising. The panel session, held in association with Quantcast, saw assembled marketers listen in on the thoughts of Amber Case, a cyborg anthropologist who examines the interaction between humans and technology; Oliver Cox, solutions architect, IBM Watson ecosystem; Konrad Feldman, CEO of Quantcast; David Shing, digital prophet for AOL; plus Todd Krugmann, president of O&M Japan. IBM's Cox added that the latest issue of The Drum bore testament to this potential union of data-led machine learning, and the creative process. Meanwhile, IBM's Cox further explained how such an offering could aid brands' communication strategies: "Watson would not create a personality - it will help you create the personality that's best for your brand [with elements of human moderation]."
Tech City is Five Years Old!
The first spark of the idea that would go on to become Tech City, surfaced on the last night of a UK trade mission to India in July 2010. At a British Government-hosted reception in Delhi, Matt Webb, then CEO and cofounder of design consultancy BERG, struck up a conversation with Rohan Silva, then a senior special advisor to the prime minister. Their chat soon turned to London and the best way to get the small cluster of startups that were scattered around Old Street to take off, and ultimately become a viable ecosystem. "Matt said there [wasn't] a Silicon Valley-type ethos in Old Street, where you can all come together," Silva told Wired magazine at the time. "So he asked for our help." A few months later, the Prime Minister delivered a speech in which he declared that "something [was] stirring in east London", which could one day "be one of the world's great technology centres".