Machine Learning News Issue 61

Welcome to the Momenta Learning News on Machine Learning. This is issue 61, please feel free to share this post.

Neural chip could aid voice recognition, man-machine learning -- Defense Systems Defense IT A neural chip technology startup focused on Siri-like human-machine interactions emerged from stealth mode this week to unveil "military-grade voice recognition and authentication technology" along with a proprietary neural processor approach.

LinkedIn Open-Sources Spark-Based Machine Learning Library LinkedIn continues its strategy of developing hot technology and open-sourcing it, this time a machine learning library for Spark called Photon ML. LinkedIn announced that it has open-sourced its machine learning library for Apache Spark, known as Photon ML. Apache Spark is an open-source cluster computing framework used for processing and analyzing big data.

Why Salespeople Need to Develop "Machine Intelligence" Artificial intelligence (AI) is on quite a run, from Google's AlphaGo, which earlier this year defeated Go world champion Lee Sedol four games to one, to Amazon's Echo, the voice-activated digital assistant. The trend is heating up the sales field as well, enabling entirely new ways of selling.

Google's DeepMind wants to bring AI learning to healthcare within 5 years Written by Max Green | Following an investigation that revealed DeepMind, Google's artificial intelligence arm, has access to the U.K.'s National Health Service's vast records of identifiable patient data, another interesting internal memo has shaken loose, reports New Scientist .

Machine Learning in Objective-C Has Never Been Easier Taking the opportunity provided by our recent Spring release, BigML is pleased to announce our new SDK for Objective-C, bigml-objc, which provides a modern, block-based Objective-C API, and a new more maintainable and coherent design. Additionally, bigml-objc includes support for our exciting new DSL for the automation of ML workflows, WhizzML.

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Machine learning is trending - but what is it driving? 451 Research is focused on the business of enterprise IT innovation within emerging technology segments and provides timely insight to end user, service provider, vendor, and investor organizations worldwide.

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News: Machine learning can predict students' graduation with 74% probability In his Master's thesis, Lauri Viitanen analysed information about over 30 000 students from Metropolia to predict their graduation dates. In his thesis, Lauri Viitanen, a student of Computer Science and Engineering, applied survival models to the information in the student register at Metropolia University of Applied Sciences with the aim of finding variables that can best distinguish the students who will graduate from those who will drop out.

This tool taps machine learning to take the guesswork out of content marketing It's every marketer's goal to reach customers in the right place, at the right time and with the right message, but the online world doesn't make that easy. A new tool announced Thursday uses machine learning to help.

Machine Learning News Issue 60

Welcome to the Momenta Learning News on Machine Learning. This is issue 60, please feel free to share this post.

Google hopes to apply machine learning to NHS data within 5 years Google wants to apply its machine learning technology to NHS patient data within the next five years, TechCrunch reports. The search giant's London-based artificial intelligence research lab, DeepMind, announced a partnership with the Royal Free NHS Trust in London in February but the full extent of the arrangement is only just becoming clear.

Machine Learning for Supply Chain Efficiencies A few weeks ago I attended the ToolsGroup Supply Chain Transformation conference in Boston. One of the more interesting sessions I attended was "Predictive Commerce and Machine Learning" featuring ToolsGroup CEO Yossi Shamir. While Yossi obviously touted the benefits of the ToolsGroup product suite, the session focused more on the big concept of why supply chain needs automation now.

MIT Develops New Machine-Learning Algorithm Designed to Capture True Images of A Black Hole Jun 09, 2016 01:50 AM EDT A team of researchers led by MIT's Katie Bouman have developed a new computer algorithm that could help astronomers generate the first true image of a black hole. At present, astronomers rely of imaginative minds of artists to create a clear image of a black hole.

Data Science 101: The Rise and Shine of Machine Learning We are living in a digital era where Customer is the king. Many businesses have capitulated to this new realm and have started interacting with customers dynamically. Today the customers are free to navigate a merchant (eCommerce) website any way they fancy.

Machine-learning accelerates catalytic trend spotting Researchers in Japan have used a machine-learning method to cut the time it takes to predict the catalytic potential of different metals. Binding between a metal surface and an adsorbate mainly depends on the electronic structure of the metal. More energy at centre of the metal's d-band creates a stronger bond between its surface and the adsorbate.

Machine learning is the new Big Data | #HPEdiscover You can almost hear the whooshing sound as the technology industry is sprinting to the marketplace with new solutions to help the enterprise garner useful and intelligent insights from their data. Analytics, Machine Learning (ML) and Artificial Intelligence (AI) delivered in a simplistic form is what companies are demanding.

Machine Learning Goes Mainstream Computers generally don't take sick days or pass on germs, most of the time they don't argue or answer back and they never have hangovers or wake up in a bad mood. In theory that could make them the perfect digital co-worker. But there is a problem.

Leveraging the power of scalable machine learning In today's digitally driven world, enterprises need to find ways to extract valuable insights from huge amounts of data. That data is both generated within the organization and captured from external sources, from every application and social media to the networks of sensors that constitute the Internet of Things (IoT).

This tool taps machine learning to take the guesswork out of content marketing It's every marketer's goal to reach customers in the right place, at the right time, and with the right message, but the online world doesn't make that easy. A new tool announced Thursday uses machine learning to help.

Mercedes Takes Spooky Out of Machine Learning NOVI, MI - Machine learning might sound like the backdrop to a dark science-fiction movie, but Mercedes-Benz believes putting the technology into to its cars and trucks will make the everyday grind go more smoothly. "Machine learning can simplify and personalize the driver experience," says Kal Mos, vice president-North America R&D at Mercedes-Benz.

Machine Learning News Issue 59

Welcome to the Momenta Learning News on Machine Learning. This is issue 59, please feel free to share this post.

What are the Best Machine Learning Packages in R? Guest post by Khushbu Shah The most common question asked by prospective data scientists is - "What is the best programming language for Machine Learning?" The answer to this question always results in a debate whether to choose R, Python or MATLAB for Machine Learning.

Demystifying Machine Learning I attended a security panel recently where the panelists were asked what areas or approaches in security, if any, were over-hyped. One of the panelists, the CISO of a well-regarded Valley startup, said "Machine Learning. If a vendor comes in and starts talking about how they use Machine Learning, I start tuning out."

Accelerating Connected Car Data Science & Machine Learning - Hortonworks According to Gartner Research, by 2020 the total number of connected cars will be nine times more than that of 2015. Additionally, 80% of all new vehicles will have data connectivity, 30% of connected-vehicles will have built-in, over-the-air software capabilities, and over one billion connected automotive subsystems will be shipped.

A log entry of the Mad Machine Learning Scientist of Cybercom 2016-06-07, 12:36 Posted by: Tero Keski-Valkama We have a reference implementation of a deep reinforced learning machine: The human brain. The brain does not take gigawatts of power, and it is not made of exotic and expensive materials; in fact, it is made of fats and proteins.

BMC Medical Informatics and Decision Making BMC Medical Informatics and Decision Making is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.

Google's machine learning app can now take over your iPhone Imagine Siri repeating 'I love Steve Jobs' forever

AI, Machine Learning Take Center Seat at Code Conference Artificial Intelligence and machine learning were the big themes at last week's Code Conference, just like most of the similar conferences I've attended this year. It's a topic on everyone's mind, driven by huge advances in hardware. Artificial Intelligence and machine learning were the big themes at last week's Code Conference, just like most of the similar conferences I've attended this year.

Deep learning helps to map Mars and analyze its surface chemistry Researchers at the University of Massachusetts Amherst and Mount Holyoke College are teaming up to apply recent advances in machine learning, specifically biologically inspired deep learning methods, to analyze large amounts of scientific data from Mars.

LinkedIn Adds to Growing List of ML Tools LinkedIn is releasing to the open source community its machine-learning tool used to train the ranking algorithm for its newsfeed, advertising and customer recommendations. The world's largest professional network (NYSE: LNKD) said Tuesday (June 7) its Apache Spark-based machine learning library dubbed Photon ML would give data scientists a more accurate picture of underlying datasets as they train algorithms to parse the backgrounds of individual users.

Bayesian Optimization of Machine Learning Models by Max Kuhn: Director, Nonclinical Statistics, Pfizer Many predictive and machine learning models have structural or tuning parameters that cannot be directly estimated from the data. For example, when using K-nearest neighbor model, there is no analytical estimator for K (the number of neighbors).

Machine Learning News Issue 58

Welcome to the Momenta Learning News on Machine Learning. This is issue 58, please feel free to share this post.

New video series goes behind the scenes to show how machine learning drives Bing Predicts The Bing Predicts team has a series of videos available that delves deep into how machine learning powers their forecasts of the results of sporting events, awards shows, political elections, and more. Bing Predicts uses machine learning with the help of Bing search, social media sites, and other web information to make informed guesses on the outcome of these events.

Machine learning is the new face of enterprise data While the complexity of the searching and result-ranking technology behind Apple's Siri would likely elude most of its users, the value of a context-sensitive personal assistant certainly has not. Yet while Siri spawned a new generation of anthropomorphic digital assistants, researchers in machine learning and artificial intelligence (AI) are taking the concept much further to help enterprises catch up to the growth of data.

Big Data, Big Solutions and How Machine Learning Will Help Bring Businesses into the Future - insideBIGDATA In this special guest feature, Ran Sarig, Co-founder and CEO of Datorama, discusses the importance of applying machine learning to data integration or 'cleansing' processes with speed and at a scale in order to keep up with the ever increasing number of data sources. And why Big Data needn't be a big mess anymore.

Securing Big Data Platforms: Machine Learning and Encryption Government agencies within smart cities are seeing a critical advantage in big data analytics, especially when it comes to accessing large, historical data sets for smarter decision-making. However, many public sector organizations still struggle to take advantage of information-driven decisions and stores of untapped big data sit within these agencies due to difficulties with accessibility or security concerns.

Natero: Machine learning for SaaS customer retention Statistical Data Analysis The world of Artificial Intelligence and machine learning is one that seems to get muddled. On the one hand, there is all the science fiction potential of truly smart machines, on the other, there is the gradual automation of complex data analysis enabled by machine learning.

Sift Science Is Fighting Online Fraud With Machine Learning Online fraud is a perpetually growing problem for retailers, financial institutions, and consumers in general, but Sift Science believes it has the solution, thanks to pattern recognition and machine intelligence. Incubated at Y Combinator, Sift Science launched in 2011.

Microsoft Uses Machine Learning To Construct The Perfect Sky On any given night, 7 billion people might look into the sky and see things from a slightly different perspective. Or as artist Maja Petrić puts it, "we have one sky, but the experiences are infinite." That's why, working with machine learning researcher Nebojša Jojić in Microsoft Research's Studio99, Petrić created The Skies Epitomized .

Former NASA chief's startup exits stealth with a 256-core machine learning chip Daniel Goldin has an impressive resume. The 75-year-old spent over a quarter century in the aerospace industry during the first leg of his career, went on to become the director of NASA and is now returning to the fold as the head of a newly launched startup.

IBM Expands Reach of Data Science and Machine Learning Building on its $300 million investment in Apache Spark a year ago, IBM is announcing new initiatives including an environment where data scientists can learn, create and collaborate with peers using whatever data science language they prefer, donation of new open source technologies that help bring Spark to members of the R community, and an open ecosystem of partners to help expand innovation.

Open Source Machine Learning Degree A set of free resources for learning machine learning, inspired by similar open source degree resources. Find links to books and book-length lecture notes for study. By Allen Sarkisyan, DataScience, Inc. Learn machine learning for free, because free is better than not-free. This website is inspired by the datasciencemasters/go and open-source-cs-degree Github pages.

Machine Learning News Issue 57

Welcome to the Momenta Learning News on Machine Learning. This is issue 57, please feel free to share this post.

New Data Analytics Benchmark Puts Stopwatch to Hadoop-based Systems Ladies and gentlemen, start your clusters. A new data analytics and machine learning benchmark has been released by the Transaction Processing Performance Council (TPC) measuring real-world performance of Hadoop-based systems, including MapReduce, Apache Hive, and Apache Spark Machine Learning Library (MLlib).

Artificial intelligence is changing SEO faster than you think By now everyone has heard of Google's RankBrain, the new artificial intelligence machine learning algorithm that is supposed to be the latest and greatest from Mountain View, Calif. What many of you might not realize, however, is just how fast the SEO industry is changing because of it.

What is the promise of big data? Computer will be better than humans | Business Cloud News Big data as a concept has in fact been around longer than computer technology, which would surprise a number of people. Back in 1944 Wesleyan University Librarian Fremont Rider wrote a paper which estimated American university libraries were doubling in size every sixteen years meaning the Yale Library in 2040 would occupy over 6,000 miles of shelves.

How Machine Learning can be used to Predict Customer Behaviour One of the biggest challenges for the modern business is learning to utilize all of the data available to them in a way that is both meaningful and actionable. However, the potential for using data generated by a website is often left unexplored, and as a result, the intentions and reactions of individual digital customers can be overlooked.

US EPA EPA Home " Science Inventory " Harmful algal bloom smart device application: using image analysis and machine learning techniques for early classification of harmful algal blooms Citation: Lazorchak, J., M. Waters, Joel Allen, AND M. Steinitz-Kannan.

Decoding Brainwaves with Azure Machine Learning (Channel 9) I had the good fortune to meet Charis Loveland at the Machine Learning, Analytics, & Data Science Conference in Redmond, WA. Charis manages the team behind the Decoding Brain Signals machine learning contest. Sign up for the Decoding Brain Signals Competition at https://gallery.cortanaintelligence.com/Competition/Decoding-Brain-Signals-2 Please see this keynote video from CVP Joseph Sirosh announcing this competition at the Strata conference.

Machine Learning, Blockchains And Genetic Engineering - The Three Next Big Things One of the persistent concerns about Indian innovation is whether, with our relatively poor position in R & D, we are falling behind the curve. It has definitely been true in the information technology sector: Indian companies that have done well have done so, not based on technological breakthroughs but on offering low-cost engineering services.

Google DeepMind Researchers Develop AI Kill Switch Artificial intelligence doesn't have to include murderous, sentient super-intelligence to be dangerous. It's dangerous right now, albeit in generally more primitive terms. If a machine can learn based on real-world inputs and adjust its behaviors accordingly, there exists the potential for that machine to learn the wrong thing.

Russian developer collaborates with Facebook, Google to make 'machines see' - The Economic Times SKOLKOVO: A Russian developer here has created an open source computer vision platform, in collaboration with Facebook and Google , that acts as a teaching machine and enables them "see". VisionLabs, a solutions developer in the field of computer vision, data analysis and robotics, and a Skolkovo IT Cluster resident have developed this as a global open-source computer vision project with the support of Facebook and Google, an official said.

Tesla Offers To Share Autopilot Data With Feds, Other Companies - Gas 2 Autonomous Cars At its annual shareholders meeting last week, Tesla CEO Elon Musk told the audience that Tesla is willing to share the data it collects from its Autopilot system with the federal government and with other manufacturers. "On a statistical basis, we don't have any issues with them sharing that with other manufacturers," he said.

Machine Learning News Issue 56

Welcome to the Momenta Learning News on Machine Learning. This is issue 56, please feel free to share this post.

The barbell effect of machine learning If there's one technology that promises to change the world more than any other over the next several decades, it's (arguably) machine learning. By enabling computers to learn certain things more efficiently than humans, and discover certain things that humans cannot, machine learning promises to bring increasing intelligence to software everywhere and enable computers to develop new capabilities -- from driving cars to diagnosing disease -- that were previously thought to be impossible.

Microsoft Accelerator startup DefinedCrowd connects machine learning with native speakers Part of Microsoft Accelerator's batch 3 of startups, DefinedCrowd is filling a niche in the big data and machine learning community, providing near-real-time feeds of rich language data, checked by actual well-informed humans all over the world.

Why machine learning models require a failover plan Machine learning models are prone to failure, with one major reason being the vulnerabilities they come with. Hackers... have the ability to lock up a model on health predictions in medicine, for example, and make it inaccessible to legitimate users. They can inject codes into the model to cause flawed predictions on fraudulent transactions over e-commerce.

The whys and hows of machine learning for cyber security: does it live up to the hype? | Information Age Print this page Email article Traditional security solutions have relied on rules, signatures and blacklists to prevent security attacks. These solutions are effective at finding the 'known bad' but are increasingly ineffective in helping organisations detect the 'unknown bad,' which include most modern, advanced attacks.

5 Reasons Machine Learning Applications Need a Better Lambda Architecture The Lambda Architecture enables a continuous processing of real-time data. It is a painful process that gets the job done, but at a great cost. Here is a simplified solution called as Lambda-R (ƛ-R) for the Relational Lambda. By Monte Zweben, CEO Splice Machine. Lambda architectures are ubiquitous in machine learning and data science applications.

Creative partnerships: Machine learning and the future of design Patrick Hebron offers an introduction to contemporary machine-learning systems and explores how these emerging capabilities will transform the next generation of computing interfaces.

Five ways Microsoft machine learning pervades Office 365 services Today's enterprise employees are wasting precious time navigating mountains of digital data. Microsoft will soon... offer a technology for users that will change the way they interact with data through Microsoft machine learning. The answer is provided through a digital personal organizer that presents users with content that is relevant to them.

DARPA wants to teach machines how to learn -- GCN "When we look at what's happening with artificial intelligence, we see something that is very, very powerful, very valuable for military applications, but we also see a technology that is still quite fundamentally limited," DARPA Director Arati Prabhakar said at the Atlantic Council on May 2.

How a group of data scientists are saving the whales with machine learning Facial recognition for whales may sound like a terrible elevator pitch, but to the National Oceanic and Atmospheric Administration (NOAA) and the data scientists at Deepsense.io, this was a challenge worth taking on. A group of Polish data scientists and machine learning experts from Deepsense.io have been working on an image recognition engine for the endangered North Atlantic Right Whales.

IBM to Donate Cognitive Analytics/Learning | EE Times IBM promises to donate a key element of its cognitive analytics and machine learning software suite to the open-source community.

Machine Learning News Issue 55

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Big Data, machine learning is serving consumer wanderlust - Memeburn Given the massive increase in the amount of data that companies - of all sizes and across sectors - are generating, it is no surprise that data analytics and machine learning are fast becoming key components of every innovative company's toolkit.

Survey of IT Pros Shows Rise in Machine Learning - Blazent Pradeep Bhanot / Blog, Data Management | Earlier this month Blazent conducted a survey of IT professions at ServiceNow's annual user conference (Knowledge16) in Las Vegas. We wanted to compare this targeted sample with recent surveys we sponsored with leading analysts into the use of Advanced Analytics in Data Quality Management (DQM).

The preoccupation with test error in applied machine learning "Predictive accuracy on test sets is the criterion for how good the model is." - Leo Breiman, Statistical Modeling: The Two Cultures , 2001 The quote above may be one of the most important observations, from one of the most important papers, in data science.

AI In Ads: 13 High-Momentum Companies Using Machine Learning In Marketing, Ads, And Sales Startups applying machine learning algorithms to advertising, sales, and marketing were highlighted this quarter by Oracle's acquisition of Tel Aviv-based cross-device advertising startup Crosswise for $50M. In fact, since January 2015, there have been 10 acquisitions in the space: Twitter acquired TellApart for more than $530M, Google acquired marketing-management startup Granata Decision Systems, and Israeli unicorn IronSource merged with in-app advertising startup Supersonic, to name a few.

Intel's data center chief talks machine learning -- just don't ask about GPUs If you want to get under Diane Bryant's skin these days, just ask her about GPUs. The head of Intel's powerful data center group was at Computex in Taipei this week, in part to explain how the company's latest Xeon Phi processor is a good fit for machine learning.

The Cloud Is Just One Step Toward Machine Learning The critics are right. Cloud savings don't all go to the bottom line. Cloud is the first step in this decade's change process. Companies move files to the cloud because it costs less, and scales better. They enable development of apps that are instantly available to all users.

Google's Magneta project aims to advance art of machine learning for music and art generation Google has launched Magneta project that gives you the power to create art yourself using the AI. Artists use tools under the project for making the machine learning to their creations. The project includes both audio and video production.

Google's Training Its AI to Be Android's Security Guard When Adrian Ludwig describes the ideal approach to computer security, he pulls out an analogy. But it's not a lock or a firewall or a moat around a castle. Computer security, he says, should work like the credit card business. A credit card company, he explains, doesn't eliminate risk.

Jeff Bezos Says AI Could Become Amazon's Fourth Pillar The technology behind Alexa, the voice inside Amazon's Echo speaker, could become Amazon's fourth business pillar, alongside retail marketplace, Amazon Prime, and Amazon Web Services. Amazon has more than 1,000 people working on artificial intelligence and third-party apps that people have built using the company's SDK, Bezos, the founder and CEO of the company, said at Recode's Code Conference Tuesday.

Mapping The Modern Industry: The Trajectory Of Machine Learning Mapping out the technology industry of today requires understanding the trajectory of machine learning. Machine learning is a hot topic, garnering billions of dollars in investments from tech giants Google, Facebook, and Cisco with its recent 1.4 billion dollar investment into the Internet of Things; however, Machine Learning Consultant Charles Martin suggests the fascination with machine learning isn't as abrupt as it appears.

Machine Learning News Issue 54

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Mirada collaborates on machine learning and big data driven radiotherapy planning OXFORD, UK, 26 May 2016 - Mirada Medical Ltd, UK, MAASTRO clinic, the Netherlands and SOHARD Software GmbH, Germany, have won a European Eurostars grant to develop the next generation of automatic contouring and semantic database driven treatment planning support software.

Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications Objective To compare performance of risk prediction models for forecasting postoperative sepsis and acute kidney injury. Design Retrospective single center cohort study of adult surgical patients admitted between 2000 and 2010. Patients 50,318 adult patients undergoing major surgery.

Competing with Machine Learning May 24, 2016 | 22 Views Anthony Goldbloom, Cofounder and CEO, Kaggle on competing with machine learning. Anthony Goldbloom is cofounder and CEO of Kaggle, a platform for machine-learning competitions. Almost 500,000 of the world's top data scientists compete on Kaggle to solve important problems for industry, government, and academia.

Terrorist or criminal? New software uses face analysis to find out Pulling a poker face means betraying no visible emotion, so that opponents can't tell what you're really thinking. But a Tel Aviv startup's face-profiling technology recently proved fairly accurate at predicting which four players were most likely to beat out 46 other contenders in an amateur poker tournament.

How machine learning can impact subscription service offerings Kristina: Why should subscription-based software companies care about machine learning? Matt Fleckenstein, SVP Products and Marketing, Amplero: Today's connected customers demand that companies provide a service to them that is personalized, connected, memorable, and one that provides ongoing value (the more I use it, the more value I receive).

ARM's Bifrost steps up graphics, bridges to machine learning The architecture includes maths capabilities that could be used by other software as part of a heterogeneous system architecture. That could include neural network software but ARM executives stressed that Bifrost is first and foremost an architecture for raster, tile-based graphics processing units (GPUs).

Quant Hedge Funds Balance Computer and Brain Power Register today for inside access to our thought-provoking coverage of the global financial markets! Interactive Digital Access Research & Ranking Summary Results Monthly Magazine* Daily eNewsletters Register Today *For qualified registrants only When panic struck the Chinese stock market last August, Man AHL wasn't caught flat-footed.

One executive shares sound advice for drawing more value from big data There is $8 trillion worth of data being stored by today's companies. That's a lot of business value, yet most companies are not making the best use of this enormous asset. How can your business move from data overload to getting full business value from its data?

Why you need to understand machine learning From picking stocks to finding partners, machine learning plays a part in every stage of our lives - yet most of us know little about these powerful tools.

Watch Microsoft Accelerator's Machine Learning Demo Day here TechCrunch is pleased to bring you Microsoft Accelerator's Machine Learning Demo Day this Thursday, June 2 from the Showbox SoDo in Seattle. The Microsoft Accelerator is an immersive three- to six-month program aimed at helping entrepreneurs get through the challenges of building a company, finding customers and scaling to global markets.

Machine Learning News Issue 53

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Machine Learning, Machine Intelligence and Cognitive Computing: What Does All of this Have to do with Big Data? Living in the information age and finding the silver lining: Preparing for a future where machines are making lives better by going beyond what they were initially programmed to do. Artificial intelligence - statistical learning techniques- machine learning - cognitive computing - hear how data is helping to change lives.

DARPA wants to find the vital limitations of machine learning What are the fundamental limitations inherent in machine learning systems? That's the central question of a potential new DARPA program known as the Fundamental Limits of Learning (Fun LoL) which according to the researchers will address how the quest for the ultimate learning machine can be measured and tracked in a systematic and principled way.

Machine learning "still a cottage industry" Machine learning will have a huge impact on business and society but at present is "still a cottage industry", says Professor Bob Williamson, chief scientist of CSIRO's Data 61 group. There's been a resurgence of interest in machine learning in recent years.

Advanced Machine Learning in Imaging: The Zebra Approach Think about your busiest days - ones filled with dozens of images flying at you from referring physicians, as well as the emergency room. Wouldn't it be nice to take those images, feed them into a computer program, and have the program spit back a diagnosis within minutes?

Alpine Data Makes Machine Learning Real for Business Execs 5 Ways Retailers Can Best Leverage Data Analytics Machine learning algorithms may be all the rage these days in IT circles but for most business executives it remains an esoteric concept.

The machine learning solution to the UK's productivity problem Labelled the "the economic challenge of our age", Britain's productivity gap continues to grow. Indeed, the latest labour productivity figures show how the divide between the UK and the remaining members...

Interview: Fernando Lucini, Chief Technology Officer, Big Data HPE - insideBIGDATA I recently caught up with Fernando Lucini, Chief Technology Officer, Big Data Hewlett-Packard Enterprise, to discuss the future of machine learning at HPE Big Data. Fernando leads HPE IDOL software portfolio and is the global business leader for the Haven OnDemand platform, as part of the Big Data Platform business group in HPE Software.

Ghosts In The Machine: Artificial Intelligence, Risks And Regulation In Financial Markets | Lexology Welcome to our b:INFORM series exploring the rise of Artificial Intelligence ("AI") in financial markets and institutions. This series is based on a...

How Will Machine Learning Change the State of Digital Marketing? If you don't understand machine learning (ML), it's time to give yourself a crash course-especially as it relates to marketing. Just as SEO, programmatic buying, and other new technologies have revolutionized certain aspects of the marketing industry, ML figures to change the whole process, from how we handle simple marketing tasks to how we approach the larger task of telling brand stories.

ARM's Segars Sees Expanded Role for Machine Vision, Machine Learning ARM Holdings CEO Simon Segars visits Barron's, May 26th, 2016.Simon Segars, chief executive of chip licensing powerhouse ARM Holdings (ARMH), was in town Thursday to speak to CNBC and make other visits, following a day of investor meetings Wednesday at the J.P.

Machine Learning News Issue 52

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$100K Machine Learning Challenge 100K Machine Learning Challenge In partnership with Udacity, Chinese ridesharing company Didi Chuxing has announced a global machine learning competition to come up with a better ride matching algorithm using Didi's published data sets. The grand prize winner not only gets $100,000 and worldwide acclaim, and also a chance to work at the Didi Research Lab in China or Silicon Valley.

Machine-learning radars may be coming to automotive IMEC is already working with automotive radar market leader Infineon Technologies AG at 79GHz in 28nm CMOS (see Infineon, IMEC collaborate on 79GHz CMOS radar). Now it wants to go to a yet smaller wavelength and add machine learning to the back end of its sensors said Wim van Thillo, program director for perceptive systems at IMEC, speaking at the IMEC Technology Forum.

The problem with analytics There is a difference between knowledge and understanding. Knowledge typically comes down to knowing facts while understanding is the application of knowledge to the mastery of systems. You can know a lot while understanding very little.

Could Artificial Intelligence and Machine Learning be Apple's BlackBerry moment? Unlike Google, Facebook, and Amazon, Apple appears to be sitting out the massive data suck revolution. So, doomed?

Facebook's machine learning director shares tips for building a successful AI platform - TechRepublic It's no longer up for debate that AI is set to have a major impact on most businesses, if it isn't already-and any company that wants to stay ahead must figure out how to integrate the new technology into its structure. But how is a successful AI platform built?

Machine Learning Key To Automatic Target Recognition "Machine Learning Key To Automatic Target Recognition" is part of the new Aviation Week & Space Technology subscription, now available online and in our newly launched mobile app. Current Aviation Week & Space Technology magazine subscribers: online and mobile access are now included at no added charge to you.

Insight Into How VISR Uses Machine Learning to Monitor Kids Social Media Posted 2 days ago by RICHARD HARRIS, Executive Editor Reichman: Our mission is to give parents the ability to keep their kids safe and healthy online while giving them independence at the same time. We believe that although today's digital world represents larger issues than ever before, it also offers unprecedented opportunities for preventative health.

Automation, machine learning vital for IoT The true value of the Internet of Things is when it is used in conjunction with autonomous devices and machine learning, according to SAS' chief analytics officer for Australia and New Zealand, Evan Stubbs.

Machine Learning Key Terms, Explained An overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style. There are many posts on KDnuggets covering the explanation of key terms and concepts in the areas of Data Science, Machine Learning, Deep Learning, Big Data, etc. (see here, here, and here).

What is Machine Learning? Machine learning refers to the process by which computers develop pattern recognition, or the ability to continuously learn from and make predictions based on data, then make adjustments without being specifically programmed to do so. A form of artificial intelligence, machine learning effectively automates the process of analytical model building and allows machines to adapt to new scenarios independently.

Machine Learning News Issue 51

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Our goal is to use AI, machine learning to simplify smartphone experience: Nextbit's Tom Moss | ET Telecom

NEW DELHI: A new smartphone which has hit the Indian markets claims to manage your phone storage without any manual interference.

Deep learning tools help users dig into advanced analytics data At Twitter Inc., Hugo Larochelle's job is to develop an understanding of how users of the social network are connected to each other and what interests them in order to categorize and promote content that includes tweets, images and videos. To help accomplish that, he and his fellow data analysts use an emerging technology: deep learning tools.

Finding The Meaning Of Artificial Intelligence At Google I/O The tech world is awash with talk of artificial intelligence. The seemingly out-of-nowhere magical force is now powering everything from image recognition to virtual assistant chatbots; it's on the lips of every tech executive within 10 feet of a microphone.

Facebook translation tool is using machine learning to serve 2 billion text translations per day Facebook aims to connect the whole world through its social networking platform. Towards that objective, to solve one major hurdle of the language barrier, Facebook is using machine learning based translation tool to aid translations on its network.

Finance and Accounting Majors Lacking in Big Data Analysis Skills, Says Recent Report It's no secret that data scientists are in high demand for their highly-prized data-analysis skills. However, companies are also looking for accounting and finance professionals with some of those same technical skill sets. However, there aren't enough finance graduates who fit the bill.

Data Visualization and Professional Education: A Powerful Partnership for Investment Professionals - Press Release Rocket The Market Technicians Association (MTA) and Optuma Financial Solutions (OFS) announce partnership to provide data visualization technology to candidates in the Chartered Market Technician (CMT) Program. (PRWEB) May 24, 2016 The Market Technicians Association (MTA), the leading organization for investment professionals advancing the discipline of technical analysis, is pleased to announce a collaborative partnership with ...

Google's Journey into Machine Learning: What Marketers Need to Know - eMarketer With the new Google Analytics 360 Suite, machine learning comes to center stage as marketers contend with how to use this technology in their digital strategies. The recently launched enterprise marketing cloud suite is working to bring together the once siloed data of disparate Google products.

Machine Learning and Informatics Accelerate New Material Discoveries > ENGINEERING.com The potential applications for machine learning and informatics seem limitless. From a wide variety of applications in medicine and healthcare to saving the whales, these areas of artificial intelligence are solving problems in new and inherently innovative ways. Most recently, the machine learning-informatics power couple has been improving the process of discovering new materials based on targeted characteristics.

What is Machine Learning? There is a lot we don't know about machine learning. What is it capable of? Will it steal radiologists' jobs? And perhaps the most complicated question: What is it? Machine learning - aka artificial intelligence - has the hottest buzz, according to Keith Dreyer, DO, PhD, vice chairman, radiology computing and information sciences at Massachusetts General Hospital, who spoke at ACR 2016.

Resource List: Machine Learning, ODPi, Deduping With Scala, OCR and More... - DZone Big Data The Big Data Zone is presented by Exaptive. Learn about how to rapidly iterate data applications, while reusing existing code and leveraging open source technologies. ODPi for Hadoop Standards: The ODPi + ASF to consolidate Hadoop and all the versions. Too many custom distributions with various versions of the 20 or so tools that make up Apache Big Data.

Machine Learning News Issue 50

Welcome to the Momenta Learning News on Machine Learning. This is issue 50, please feel free to share this post.

Machine Learning, AI and Bullshit Detection Sometimes I feel like Silicon Valley has become one big collective company. Name a major tech company that isn't working on all of the following: VR, bots, personal assistants, home speakers, messaging apps.And on the face of it, very little sets apart the Google flavor of these products- ...

The application of the law to machine learning and artificial intelligence - The Law Society The Law Society President joins Catherine Reed for a podcast on the topic of the application of the law to machine learning and artificial intelligence.

Machine Learning is Hot Right Now. Is Your Company in the Conversation? It seems, machine learning, and its closely related cousins, artificial intelligence (AI), deep learning, predictive and prescriptive analytics and automation, is trending, big time. From Google's DeepMind taking on and beating the world's best Go player to Audi's self-driving RS7 racing all comers, stories about machines encroaching on human tasks is all the rage.

Watch-Bot uses machine learning to determine when you're bad at life When all you have is a hammer, everything looks like a nail. When neural networks are hot in the field of machine learning, everything looks like a pattern-matching problem. When you leave the milk out, a robot will tell you.

Lustre to DAOS: Machine Learning on Intel's Platform Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. The previous article discussed how scalable distributed parallel computing using a high-performance communications fabric like Intel Omni-Path Architecture (Intel OPA) is an essential part of what makes the training of deep learning on large complex datasets tractable in both the data center and within the cloud.

Morning Read: Nvidia tech to support machine learning could create smarter medical imaging TOP STORIES An article explores how Nvidia Corp. microchips, the kind that are used in video games and by social media networks for photo tagging, are being applied to medicine. They are being used to add machine learning to medical imaging.

Personalized Machine Learning Now Sits In Your Back Pocket Snips is an AI platform looking to streamline the way you live your life "I strongly believe in a future where artificial intelligence will manage technology for us, allowing people to live their lives with the feeling of being unplugged," says Dr. Rand Hindi, founder and CEO of Snips.

Importance of Data Modeling and Subject Matter Experts In Machine Learning A friend of mine recently reminded me of the notorious quote from Frederick Jelinek (the father of modern speech recognition), "Anytime a linguist leaves the group the recognition rate goes up." I remember being quite upset about it, back during my lnguistics studies. Is it really so that if we exchange the domain experts (i.e.

Ravelin Allows Businesses to Tackle Fraud via Machine Learning and Graph Networks | Payment Week From London today, Ravelin has introduced a new approach to security analytics for businesses. Ravelin, specialists in fraud detection technology have revealed their new fraud detection software that combines machine learning, graph networks, and behavioral analytics to deliver real-time fraud reports.

Google's 'Magenta' project will see if AIs can truly make art That's not an entirely new endeavor. Researchers and creatives have been generating music through technology for years. One notable name in the field is Dr. Nick Collins, a composer who uses machine learning to create songs, some of which were adapted in the making of a computer-generated musical launched earlier this year.

Machine Learning News Issue 49

Welcome to the Momenta Learning News on Machine Learning. This is issue 49, please feel free to share this post.

Google built its own chips to expedite its machine learning algorithms As Google announced at its I/O developer conference today, the company recently started building its own specialized chips to expedite the machine learning algorithms. These so-called Tensor Processing Units (TPU) are custom-built chips that Google has now been using in its own data centers for almost a year, as Google's senior VP for its technical infrastructure Urs Holzle noted in a press conference at I/O.

​SAP to tackle gender bias using machine learning | ZDNet SAP has announced it will use text mining and machine learning, based on the SAP HANA platform, to build new capabilities within its SAP SuccessFactors HCM Suite to help companies identify and track where biases exist in talent acquisition and management processes to address workplace biases.

OK computer: When pop music meets machine learning It's Moogfest season here in Durham, so there's been a lot of the discussion in the office around music, data lakes, and the heat map we're building for the festival. But the conversation took a different turn, thanks to a tweet. Many months ago when I was at IBM Insight, I tweeted a snide remark about computer-generated jokes.

Is Machine Learning Over Hyped? Is machine learning currently overhyped? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answer by Scott Aaronson, Theoretical computer scientist at MIT, soon to be at UT Austin, on Quora. There are things like the ideological significance of toenails, which few people talk about and few should.

Unsupervised Machine Learning Could Help Us Solve the Unsolvable In machine learning, the ultimate goal is to train a machine or computer to learn and infer like a human, taking into account much more information and making better decisions in exponentially less time than humans are able to do.

ANSYS Introduces First Big Data and Machine Learning System for Engineering Simulation Pittsburgh - May 19, 2016 - ANSYS (NASDAQ: ANSS) has married the advanced computer science of elastic computing, big data and machine learning to the physics-based world of engineering simulation - offering the industry a first look at the future of product development.

Google Takes Unconventional Route with Homegrown Machine Learning Chips Stacey Higginbotham At the tail end of Google's keynote speech at its developer conference Wednesday, Sundar Pichai, Google's CEO mentioned that Google had built its own chip for machine learning jobs that it calls a Tensor Processing Unit, or TPU. The boast was that the TPU offered "an order of magnitude" improvement in the performance per watt for machine learning.

Machine learning: Demystifying linear regression and feature selection Businesspeople need to demand more from machine learning so they can connect data scientists' work to relevant action. This requires basic machine learning literacy -- what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature selection are two such foundational topics.

DLD: AI and Machine Learning in Health Care, Weather, and Other Applications Artificial Intelligence and machine learning are hot topics at every technology conference I go to, and the recent DLD NYC conference was no exception. Ramin Assadollahi of ExB Group, a German company dealing with cognitive computing in healthcare, focused on a variety of ways new computer techniques can help us learn "how to heal with software."

5 Machine Learning Projects You Can No Longer Overlook We all know the big machine learning projects out there: Scikit-learn, TensorFlow, Theano, etc. But what about the smaller niche projects that are actively developed, providing useful services to users? Here are 5 such projects.

Machine Learning News Issue 48

Welcome to the Momenta Learning News on Machine Learning. This is issue 48, please feel free to share this post.

IBM Watson: Machine-Of-All-Trades - InformationWeek From fashion to food to healthcare, IBM's Watson has many guises across different industries. Here's a look at some of the work IBM's AI system has been doing since its Jeopardy! heyday. After defeating Brad Rutter and Ken Jennings in a game of Jeopardy! in 2011, IBM's Watson couldn't survive on its $77,147 in winnings.

Using Machine Learning to Enhance the Customer Experience - HPCwire Thanks to machine learning, the page you see when you log-on to Amazon.com is likely very different from the one I see. Advertising, product recommendations, and special deals are all tailored to our unique customer profiles based on historical browsing trends and buying behavior.

Machine Learning and Fraud: Why Artificial Intelligence Isn't Enough Machine-learning is all the rage in fraud detection, with industry analysts, academics, businesses and technology media examining the advantages of algorithms and big data in the fight against e-commerce fraud. Especially for fraud analysts working in companies with small budgets , machine-learning tools are seen as a cost-effective way to

What is machine learning: definition, how it works and applications Everyone is talking about it, but do you really know what machine learning is and what's here for? Machine learning is all about process optimisation. With this type of artificial intelligence discipline, machines and other electronic devices are able to learn on the go and adjust their behaviour to make production more efficient.

After Google, now Amazon open sources its machine learning engine DSSTNE Following examples set by the likes of Google and others, Amazon has made its Deep Scalable Sparse Tensor Network Engine (DSSTNE) generally available to researchers, developers and everyone else. The engine, which is used to provide product recommendations to Amazon shoppers - usually under the "You may also be interested in" - is now available on .

The real prerequisite for machine learning isn't math, it's data analysis When beginners get started with machine learning, the inevitable question is "what are the prerequisites? What do I need to know to get started?" And once they start researching, beginners frequently find well-intentioned but disheartening advice, like the following: You need to master math. You need all of the following: - Calculus - Differential equations [...]

Machine learning examples crop up for data center management For some leading-edge thinkers and organizations, machine learning is starting to appear in practical applications.... Although people have theorized about this subset of artificial intelligence for more than half a century, machine learning examples are finally making their way to the home territory of computer science -- the data center.

Companies are making 350% on their investments in machine learning - The Daily Reckoning - UK Edition by Sean Keyes Posted 17th May 2016 I've been skim-reading articles in The Economist, The Sunday Times and The Evening Standard lately about the coming wave of robotics and automation. Those articles are all the same. They talk vaguely about how robots will replace lots of white collar workers within ten years.

DataKind | Machine Learning To Help Rural Households Access Electricity Use historical customer payment behavior data to predict which new applicants are likely to be a good fit for their pay-as-you-go solar power systems program Customers that make three or fewer payments in its first 180 days have a 60% chance of having their system be repossessed.

Misconceptions about Machine Learning and Cybersecurity - DATAVERSITY by Angela Guess Sven Krasser and Dmitri Alperovitch recently wrote in Information Management, "Machine learning has never been more accessible than it is right now. Amazon utilizes it to uncover shopping habits and Netflix uses it to propose personalized movie selections... Leaders in the cybersecurity space are utilizing machine learning in a similar fashion.