Machine Learning News Issue 38

Welcome to the Momenta Learning News on Machine Learning. This is issue 38, please feel free to share this post.

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deFacto uses Azure Machine Learning for analytics tool deFacto Global has released deFacto Predictive Forecasting, which uses Microsoft Azure Machine Learning to bring predictive analytics capabilities to businesses of all sizes across all sectors. deFacto Predictive Forecasting eliminates the need for data scientists and expensive data processing capacity, allowing business managers to perform predictive forecasts when needed.

SAS Incorporates Machine Learning with Next-Gen Analytics Solution SAS has launched Viya,, a new analytics and visualization architecture designed to help make analytics accessible to a greater swath of users. According to the vendor, Viya, represents the foundation for a suite of offerings including machine learning, and will help speed the time between early-stage analytical exploration and resulting business value for users of all skill levels.

FoxType Machine Learning Helps You Write More Polite Emails Prateek Jose * 3 min read Email has come a long way since its humble beginnings, but not all the modifications made to it along the way have been valuable. Navigating the mishmash of folders, labels, archives, and tabs while trying to preserve a train of thought is every working professional's 8 AM nightmare.

Best Data Science, Machine Learning Blogs from Companies and Startups A collection of company data science blogs to follow and read. Top blogs have links to, and excerpts from, recent quality posts of particular interest. The following is a select list of data science related blogs from a number of top companies and startups doing data science.

Top 10 iPython Notebook Tutorials for Data Science and Machine Learning A list of 10 useful Github repositories made up of iPython (Jupyter) notebooks, focused on teaching data science and machine learning. Python is the clear target here, but general principles are transferable. This post is made up of a collection of 10 Github repositories consisting in part, or in whole, of iPython (Jupyter) Notebooks, focused on transferring data science and machine learning concepts.

What is Machine Learning? What is Machine Learning? Part 4 of 7 in our AWS Innovation series | by James O'Keeffe, Pre-Sales Technical Lead at Bulletproof Machine Learning (ML) is a field of computer science that came out of research into Artificial Intelligence (AI) and Big Data analytics. ML focuses on the creation

What is Machine Learning? (cont.) What is Machine Learning? (cont.) Part 4 of 7 in our AWS Innovation series | by James O'Keeffe, Pre-Sales Technical Lead at Bulletproof The Setup Our test setup uses a uBlox GPS receiver connected to a Beagle Bone Black (BBB) over the serial UART port.

Artificial intelligence, cognitive computing and machine learning are coming to healthcare: Is it time to invest? The arrival of artificial intelligence and its ilk - cognitive computing, deep machine learning - has felt like a vague distant future state for so long that it's tempting to think it's still decades away from practicable implementation at the point of care.

How IoT security can benefit from machine learning Computers and mobile devices running rich operating systems have a plethora of security solutions and encryption protocols that can protect them against the multitude of threats they face as soon as they become connected to the Internet. Such is not the case with IoT.

Machine Learning News Issue 37

Welcome to the Momenta Learning News on Machine Learning. This is issue 37, please feel free to share this post.

Lenovo is using machine learning to analyse unstructured data from YouTube and Instagram The world's biggest PC maker Lenovo is analysing unstructured data from social channels including YouTube and Instagram to help the firm build products with customers' feedback in mind. Mohammed Chaara, director of the Customer Insight Center of Excellence, Strategy & Analytics at Lenovo, explained that four years ago the firm had been an engineering and product-focused company.

Microsoft: Optimizing document search using Machine Learning and Text Analytics A few weeks ago, Eugene showed how the Azure Search Blob Indexer can enable full text search over files such as Office, PDF and HTML. During this time, we have learned that it is not uncommon for many of you to have a lot of files that result in large search indexes.

What is Machine Learning? What is Machine Learning? Part 4 of 7 in our AWS Innovation series | by James O'Keeffe, Pre-Sales Technical Lead at Bulletproof Machine Learning (ML) is a field of computer science that came out of research into Artificial Intelligence (AI) and Big Data analytics. ML focuses on the creation

Intel's Machine Learning Strategy | Intel® Developer Zone Joseph Spisak, Director, Strategy and Business Development at Intel, discusses Intel's machine learning strategy and its impact.

Demystifying the Black Box: Adding Transparency to Machine Learning | Adobe The very mention of machine learning provokes anxiety-generating questions such as, "Will it replace humans?" and "How do I trust the results?" and "Will I need to get a degree in statistics?" We use machine-learning devices increasingly in our everyday lives.

Machine learning as good as humans' in cancer surveillance, study shows Machine learning has come of age in public health reporting. Researchers have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

Why Machine Learning Is Our Last Hope for Cybersecurity Fraud detection. Customer recommendations. Search engine results. These use cases-and so many more-all owe a debt to machine learning. By automatically discovering patterns that lead to insights and creating predictive models that drive actions, the technology has proven its value many times, and to many industries.

Get On The Machine Learning Bandwagon With Google You can't help but notice the surge of interest in anything to do with machine learning. Now Google has launched a series of videos presenting machine learning recipes. And this adds to an existing heap of resources. AlphaGo's historic victory against the Korean Go champion Lee Sedol has had consequences.

Applying Machine Learning To Treat Paralysis - Tech Exec When Ian Burkhart was 19 years old, he was in an accident that damaged his spinal cord. He was paralysed from the chest down, losing all feeling in his hands and feet. Now a team of scientists and doctors in the USA have been able to restore some control in Burkhart's right hand through the use of innovative technology.

Machine learning is a key technology for Symantec More than a decade of investment in machine learning is paying off for security vendor Symantec. Symantec vice president global portfolio and solutions product management for enterprise security Bhagwat Swaroop (pictured) has been involved in the process of setting a course for the company following the divestiture of Veritas.

Machine Learning News Issue 36

Welcome to the Momenta Learning News on Machine Learning. This is issue 36, please feel free to share this post.

UCLA lab working to create machine that simulates touch Veronica Santos has been working to improve medical mechanical devices since she injured her elbow during a high school basketball game. Santos said the accident helped her realize the importance of research in upper limb prosthetics. Santos and her team of student researchers at the UCLA Biomechatronics Lab designed the BairClaw in 2014 to help people with upper limb disabilities experience touch.

MIT shows how AI cybersecurity excels by keeping humans in the loop - TechRepublic Cybersecurity threats are among the most pressing concerns for businesses and institutions that need to protect information, but today's security systems are limited. Most security systems fall into two categories: human analyst or machine learning.

New Fanuc Technology Connects Robots to Networks News Corp is a network of leading companies in the worlds of diversified media, news, education, and information services. Rivals will be able to connect their machines and apps to the network TOKYO-Japanese industrial robot maker Fanuc Corp.

Machine learning tools pose educational challenges IT and analytics managers struggling with all the data flooding into their organizations may find it hard to ignore the increased marketing push machine learning tools are getting from technology vendors. And for good reason: Running automated algorithms designed to learn on their own as they churn through large data sets can accelerate data mining and predictive analytics applications -- and give users information they might not get otherwise.

The Effects of Machine Learning on Rankings and SEO The effects of machine learning on rankings and SEO For a long time search engines relied on static ranking factors. Those webmasters and SEOs who knew what to pay attention for were able to reach the best positions on Google's SERPs. This has changed recently and will be changing in the future: The increasing usage ...

Machine Translation: The Combination of Machine Learning and Human Intelligence - insideBIGDATA In this special guest feature, Vasco Pedro, CEO and Co-Founder of Unbabel, discusses the importance of machine translation for natural languages and how it currently lacks the quality companies demand for their content. Dr. Pedro' company is Unbabel, the Y Combinator-backed startup that combines crowdsourced human translation and machine learning to deliver fast translation services to businesses with human tone and nuance.

Spark, Kafka & machine learning: 10 big data start-ups taking analytics to the next level List: What start-ups are worth watching as they grow in the big data market? The rise of both structured and unstructured data has created a booming market that is expected to be worth around $41.5 billion by 2018.

Why machine learning is the new BI Business intelligence has gone from static reports that tell you what happened, to interactive dashboards where you can drill into information to try and understand why it happened.

How machine learning in the cloud can help enterprise security In January 2016, Microsoft published a blog post detailing how it is leveraging machine learning within Azure Security... Center. Specifically, Microsoft uses machine learning in the cloud to enhance its threat detection and simplify security management.

Researchers Use Machine Learning Algorithm To Pinpoint Brain Activity That Decodes Facial Expressions Using a machine learning algorithm in combination with fMRI images, a team of researchers uncovered the area of the brain that recognizes and decodes human facial expressions. By Tyler MacDonald | Apr 20, 2016 04:02 PM EDT A team of researchers at Ohio State University pinpointed the area of the brain that recognizes human facial expression.

Machine Learning News Issue 35

Welcome to the Momenta Learning News on Machine Learning. This is issue 35, please feel free to share this post.

Crowdsourcing Used to Augment Machine Learning As unstructured data continues to pile up, different approaches and platforms are emerging to help businesses make greater analytical use of what otherwise might amount to clutter. Among the latest approaches is an "intelligent crowdsourcing platform" from Spare5, a Seattle-based startup specializing in, among other things, data "cleanup."

Google Calendar's New Goals Feature Uses Machine Learning | NewsFactor Network Google Calendar's New Goals Feature Uses Machine Learning By Shirley Siluk / NewsFactor Network If you have personal goals you've long wanted to achieve but just can't seem to find the time to do them, Google says it can help.

Machine learning is going to revolutionize the way you use your phone Shutterstock If you think chatbots are hot right now - being used in psychotherapy, turning into racist trolls, and presenting an existential threat to Apple - just wait until they turn into full-fledged personal assistants.

Machine Learning = Smarter Contract Lifecycle Management We've long been fascinated with the idea of smart robots that serve human society. Think about Isaac Asimov's "I, Robot" short stories, Robby in the film "Forbidden Plant," and R2D2 or BB8 in "Star Wars." In these works, robots have some significant advantages over people. They are highly intelligent without being ruled by emotions.

How Machine Learning Will Improve Retail and Customer Service Technology has transformed how customers and brands interact with each other. Shoppers once relied on face-to-face, in-store interactions to make purchases and receive support. Now, shoppers do their research before entering a store (81 percent of shoppers conduct online research before buying) and seldom rely on salespeople to help them make decisions.

Be Everywhere All the Time: Virtual Sales Coaching for Success As any coach or parent knows, the best time to teach and keep activities on track is in the moment and in context. The advantages are obvious. Everyone can use direction and positive reinforcement at the exact time when it makes a difference to be more successful.

Machine Learning Thesis Defense For both humans and machines, understanding the visual world requires relating new percepts with past experience. We argue that a good visual representation for an image should encode what makes it similar to other images, enabling the recall of associated experiences.

Learning Science Changes the Brain Man's mind was basically utilized for fundamental surviving activities, like protecting themselves as well as hunting and gathering. However, 200,000 years afterwards the same mind has the capacity to gain knowledge of abstract concepts, such as momentum, energy not to mention the law of gravity, which have just been officially identified in the past few hundreds of years.

Enterprise Search: Incorporating Machine Learning and Predictive Algorithms to Gain Relevance By Dick Weisinger Search for documents and data within the enterprise has been tough. A survey by SearchYourCloud found that people would spend between five and 25 minutes everytime they needed to look for a document. Much of the problem has been that tools for enterprise search have been lacking.

Machine Learning Could Be Weaponized In Fight Against ISIS By Christine Kern , contributing writer Deep learning machines could help decode ISIS as a network and develop strategy for defeat. The use of deep learning machines could help the Pentagon decode the structure of ISIS as a network and allow for a more precisely, developed strategy for its defeat, according to Pentagon Deputy Secretary Robert Work.

Machine Learning News Issue 34

Welcome to the Momenta Learning News on Machine Learning. This is issue 34, please feel free to share this post.

Spark On Superdome X Previews In-Memory On The Machine Timothy Prickett Morgan As readers of The Next Platform are well aware, Hewlett Packard Enterprise is staking a lot of the future of its systems business on The Machine, which embodies the evolving concepts for disaggregated and composable systems that are heavy on persistent storage that sometimes functions like shared memory, on various kinds of compute, and on the interconnects between the two.

Artificial Intelligence Sheds New Light on the Origins of the Bible Twenty six hundred years ago, a band of Judahite soldiers kept watch on their kingdom's southern border in the final days before Jerusalem was sacked by Nebuchadnezzar. They left behind numerous inscriptions-and now, a groundbreaking digital analysis has revealed how many writers penned them.

Numenta Researchers Discover How the Brain Learns Sequences, a Key Ingredient of Intelligent Systems REDWOOD CITY, Calif.--()--How do our brains learn and understand the world? That question is of paramount importance to both neuroscientists and technologists who want to build intelligent machines. It has been understood for over a hundred years that the inputs and outputs of the brain are constantly changing sequences of patterns and therefore learning and recalling sequences must be a fundamental operation of neurons.

New AI tool claims to 'change the landscape of online ads' by connecting shoppers to goods using images - TechRepublic Imagine that you are searching for a brown leather sandal online. You know what it should look like, but don't know how to describe it. You search "brown sandal" in Google, which serves up many results-but none of them are it.

Engage Machine Learning for detecting anomalous behaviors of things - developerWorks Recipes (null)

Google Calendar's newest feature uses machine learning to help you actually accomplish your goals Google Calendar has launched a new feature called Goals that uses machine learning to help you figure out when you have time to pencil in stuff like spending time with your family or exercise. The feature is now available for Calendar's Android and iOS apps.

Machine learning applications: Mitigating the risks Machine learning is gaining widespread adoption by enterprises -- large and small. Three primary reasons why executives... want employees to use it are for cost savings, faster processing of massive data and faster discovery of new vulnerabilities. Large retailers use machine learning applications to find fraudulent transactions over ecommerce while preventing blocking of legitimate transactions.

Combating Distributed Malware Through Machine Learning - insideBIGDATA In this special guest feature, Karthik Krishnan, Vice President of Product Management at Niara , discusses how machine learning is an option that's gaining popularity to detect cyber attacks given its effectiveness in classifying and clustering attack activity, even within large event data streams. Karthik is responsible for driving product strategy and direction as well as customer engagements.

What Happens When You Apply Machine Learning To Logo Design The rise of neural networks and generative design have created new opportunities for designers. But what if it went the other way, and robots created a Skynet that kills off human designers (or at least their careers) once and for all? A heady question.

Machine Learning For Stock Trading Strategies In previous articles, we've defined some of the terms being thrown around lately like " machine learning" and " artificial intelligence". These disruptive technologies will soon change the world as we know it. While some pundits predicted that we were years away from a computer that could beat a human expert at "Go", this achievement was recently announced.

Machine Learning News Issue 33

Welcome to the Momenta Learning News on Machine Learning. This is issue 33, please feel free to share this post.

Bots Could Permanently Change the Military Chain of Command Everyone on the internet had a great time with Tay, Microsoft's Twitter robot that became a racist Holocaust denier in a matter of a few hours (then came back and did it again).

How to approach machine learning as a non-technical person The last few years have seen an explosion of interest in machine learning technology and potential applications. As a non-expert, you've probably either had to assess ML technology for your product and business or as a potential investment.

Advancing Machine Learning to Uncover New Insights The sheer volume and unstructured nature of the data generated by billions of connected devices and systems presents significant challenges for those in search of turning this data into insight. For many, machine learning holds the promise of not only structuring this vast amount of data but also to create true business intelligence that can be monetized and leveraged to guide decisions.

Machine learning's biggest job When Satya Nadella made machine learning the centerpiece of the Microsoft Build conference, I think it became official: 2016 is the year of machine learning. All the major clouds now have (or will soon have) machine learning APIs. In fact, InfoWorld's Martin Heller has already reviewed the machine learning services offered by AWS, Azure, and IBM Cloud.

IBM TrueNorth-Based Computer Chip Monitors Brain Activity And May Help Predict Seizures International Business Machines (IBM) Corporation and University of Melbourne partner for a very unique but significant undertaking. They are trying to test if TrueNorth may be used to predict seizures. Contrary to popular belief, seizures, a condition defined as the brain's electrical activity going haywire, don't usually occur suddenly.

3 Ways Machine Learning Makes Your Content More Effective Recently, an AI from Deep Mind called Alpha Go beat the 5th ranked Go player in the world, a feat that most thought was about a decade off. That's the way things are going these days in the world of machine learning and artificial intelligence.

Industry Veteran Calls Machine Learning 'Critical' to Detect Tomorrow's Threats Darktrace, the leader in Enterprise Immune System technology, presented a radical vision of cyber defense at InfoSec World 2016, Orlando, yesterday, where 'immune system'-inspired technology can automatically find and respond to evolving cyber-threats. IT Security Architect at Steelcase, Stuart Berman, joined Sean O'Connor, Director at Darktrace on the conference stage as a guest speaker, to discuss how enterprises can tackle the cyber security challenges of tomorrow.

RankBrain & It's Potential Impact on All Parts of Organic Search In today's hangout, someone asked an inevitable RankBrain question, this time about whether Google's RankBrain impacts other parts of the organic search, such as news and image results. Is Rankbrain's query processing used by organic results only, or are any parts shared with other widgets, e.g. images, Shopping/PLAs, etc?

Google Is Launching a New Machine Learning Platform ( Newswire.net -- April 8, 2016) -- Google's job since inception has been to make everyone's lives easier, from everyday consumers to business people. At the NEXT Google Cloud Platform user conference in San Francisco, Google's officials announced they're taking it a step further by offering limited access to a new machine-learning platform that everyone can use.

The Future of Economics May Be in the Hands of Machine Learning Ari Amster Economists have largely preferred to act within their own field and interpretations. However, the rise of big data challenges, data analytics, and machine learning is beginning to change all that. In the summer of 2015, Susan Athey, a Professor of Economics of Technology at Stanford attracted a crowd of over 250 economists for a one-day instructive session on machine learning.

Machine Learning News Issue 32

Welcome to the Momenta Learning News on Machine Learning. This is issue 32, please feel free to share this post.

Data-centric HPC Accelerates Statistical Inference and Machine Learning University of Michigan selected IBM to develop and deliver data-centric supercomputing systems to increase the pace of scientific discovery in fields as diverse as aircraft and rocket engine design, cardiovascular disease treatment, materials physics, climate modeling and cosmology. Researchers designed a computing resource, ConFlux, to enable clusters to communicate seamlessly and at interactive speeds with data-intensive operations.

Using machine learning to reduce domestic violence -- GCN Using machine-learning to forecast which accused perpetrators of domestic violence -- particularly those whose crimes result in injuries -- will be re-arrested on similar charges can cut such recidivism in half, according to a recent report.

Machine Learning Puts a Bow on Enhancer-Promoter Predictions | GEN News Highlights | GEN A new computational method can read genomic signatures on ribbons of DNA that loop, bow-like, to facilitate interactions between distantly situated enhancers and promoters. The method, called TargetFinder, uses machine learning to distinguish between interacting and noninteracting enhancer-promoter pairs, and it has generated accurate predictions 85% of the time, suggesting that it can identify subtle gene regulation mechanisms-and thereby reveal new therapeutic targets for genetic disorders.

Money 20/20 Europe: Data scientists are farmers and machine learning is statistics on steroids Data scientists can provide firms with access to a magical world of machine learning and all that it promises. But what demarcates this hallowed realm of statistical analysis and its proponents? This question was posed to a panel of experts in the field at Money 20/20 Europe in Copenhagen.

Is machine learning smart enough to help industry? How access to massive amounts of data benefits machine design, control systems, production, maintenance and business. By Dave Perkon, technical editor Dave Perkon is technical editor for Control Design. He has engineered and managed automation projects for Fortune 500 companies in the medical, automotive, semiconductor, defense and solar industries.

Machine Learning's Many Tentacles Increasing application of artificial intelligence and machine learning for organizing and analyzing financial firms' data is reaching into various facets of their activity. Michael Shashoua reports on inroads into customer data, identifiers, improving data quality and structuring disorganized information.,Reference Data & Data Management ,Data,State Street,KYC,Eagle Investment Systems,Portware,AltX,Machine Learning,artificial intelligence

Microsoft's machine learning vision includes security, too Microsoft CEO Satya Nadella talked a lot about machine learning during his keynote at Microsoft Build 2016, but neither he nor the executives on stage covered how machine learning can drive security applications. But don't let its absence onstage fool you, as several of Microsoft's latest security moves rely on the company's machine learning investments.

Machine learning and stop-and-think To create an inclusive community that successfully tackles issues like discrimination, we need open lines of communication between faculty and students. When that communication breaks down, a misunderstanding can turn ugly and prevent real progress. We saw an example of this recently when Professor Satyen Kale assigned his machine learning class a project: to train classifiers on the New York Police Department's stop-and-frisk dataset.

Machine Learning: The Top Five Languages Paving The Future The future of machine learning seems to be very bright, with leaping advances in software & technology and the proliferation of the cloud. It is currently one of the fastest emerging technologies in the world, with many experts claiming that it holds the key to unlocking the doors to computing's most mystical evolution- artificial intelligence.

'Machine learning' is a revolution as big as the internet or personal computers Sean Gallup / Getty We're in the middle of a historic moment. It used to be the case that you had to program a computer so that it knew how to do things. Now computers can learn from experience. The breakthrough is called "machine learning."

Machine Learning News Issue 31

Welcome to the Momenta Learning News on Machine Learning. This is issue 31, please feel free to share this post.

Big data and machine learning - is the glass half empty? Artificial intelligence is currently making a resurgence since the 1990s. Today, the focus is on machine learning and statistical algorithms. This shift has served AI well. Since machine learning and statistics provide effective algorithm solutions to certain kinds of problems, such as board games, spam detection, voice and image recognition, etc.

Baidu's Chief Scientist on Intersection of Supercomputing, Machine Learning Nages Sieslack "AI is transforming the entire world of technology. Much of this progress is due to the ability of learning algorithms to spot patterns in larger and larger amounts of data. Today this is powering everything from web search to self-driving cars.

What Is Deep Learning And How Is It Useful? Deep learning has advanced to the point where it is finding widespread commercial applications. Find out what deep learning is, why it is useful, and how it can be used in a variety of enterprise settings.

Michael Shashoua: Seeking Smarter Applications Compliance technology and artificial intelligence make more inroads among financial data management operations, with opposite levels of disruption to the industry, Michael writes. Two trends that Inside Reference Data covered recently-the rise of "regtech" (regulatory technology) as a spin-off of the development of fintech start-ups, and the increasing application of artificial intelligence and machine learning to data management-are both about how smarter application of technological capabilities can improve the industry's grasp on data.

The Man Selling Shovels in the Machine-Learning Gold Rush Nvidia's CEO says his hardware will revolutionize robotics and that his chips can learn from Google's AlphaGo. Jen-Hsun Huang, CEO of the chipmaker Nvidia, is either very prescient or very lucky. His company was built around graphics processing units (GPUs) for video games.

Machine learning is a poor fit for most businesses Machine learning is the new battle cry for the cloud world. Until cloud computing came along, machine learning was out of reach for most enterprise IT shops. But now that it's in the cloud as a service, it's affordable. It should be no surprise that Amazon Web Services, Google, IBM, and Microsoft offer machine learning services in their clouds.

Rise of the Machine Learning Ecosystem It's tempting to think of artificial intelligence (AI), cognitive computing and deep learning capabilities as somewhat futuristic-even with companies such as IBM, Microsoft and Google introducing increasingly sophisticated features. Yet machine learning-which constantly sorts through incoming data and improves on its own over time-is already making waves across a wide swath of industries, including travel, pharmaceutical research and financial services.

Machine Vision Used to Wrangle Image Explosion We live in a world besotted with images: selfies, Instagram photos, video clips running on social media platforms that make it easy to instantly post images captured by smartphones and other devices. The explosion of images is making keyword searches less effective, prompting companies that sell photos and music to come up with new approaches to sorting through the haystack for the relevant image.

A sea of data 11:38 a.m., April 8, 2016--On April 3, 2016, news media outlets across the globe published articles about 11.5 million leaked documents from a Panama law firm involved in money laundering. Although 11.5 million is a large number, most readers probably had no idea what went into drawing meaningful conclusions from that huge cache of documents.

Startup hopes to make you care about all of your notifications again One of the most important features of mobile platforms is notifications. Our phones, and sometimes even our watches, are forever buzzing and bleeping to tell us that someone, somewhere, has done something that we should know about, right now. Whether you use iOS, Android, or even Windows Mobile, there's a common theme to these notifications: they're deeply annoying.

Machine Learning News Issue 30

Welcome to the Momenta Learning News on Machine Learning. This is issue 30, please feel free to share this post.

Machine Learning and Unstructured Data: The New Peanut Butter on Toast | Adobe Businesses typically operate on structured data. However, in the Internet era, most data that is available to businesses is unstructured, commonly stored as text from various sources - webpages, user forums, or audio and video, for example. Most organizations have mounds of this unstructured data, and they often struggle to make sense of it or to generate useful, actionable insights from it.

What you missed in Big Data: Analytics-as-a-service gaining steam The ease with which an infrastructure-as-a-service deployment can be scaled makes the public cloud a prime candidate for hosting analytic applications that have to process massive amounts of information. Google Inc.

Silicon Valley Looks to Artificial Intelligence for the Next Big Thing SAN FRANCISCO - As the oracles of Silicon Valley debate whether the latest tech boom is sliding toward bust, there is already talk about what will drive the industry's next growth spurt. The way we use computing is changing, toward a boom (and, if history is any guide, a bubble) in collecting oceans of data in so-called cloud computing centers, then analyzing the information to build new businesses.

DARPA thinks spectrum allocation challenges can be addressed through machine learning Last week the Defense Advanced Research Projects Agency announced its latest "grand challenge," which asks teams to develop smart systems that leverage machine learning to optimize available wireless spectrum. With a finite amount of spectrum and a growing number of connected devices, the public and private sector are experiencing a crunch to utilize under-used spectrum and share the available spectrum.

Can Machine Learning Help Lift China's Smog? As China's air quality sinks, IBM's research group is using AI techniques to predict pollution levels for every square kilometer 10 days in advance. Download PDF Download PDF This article is part of the May / June 2016 Business Report, AI Takes Off.

How Microsoft's other machine learning tricks could make its bots even smarter As someone on Twitter said, if "bots" was on your Build 2016 drinking game card, you'd be long dead. But while Microsoft is all about getting developers to create intelligent app companions to make our lives easier, is there any impressive machine learning the Redmond firm is ready to show off right now?

Deep machine learning drives Loop AI quest Bart Peintner has been closely involved with important developments in artificial intelligence through its recent resurgence. At SRI, one of the world's hotbeds of AI research, he pursued work that pressed the limits of natural language processing and user-behavior modeling.

Machine Learning In Security: Good & Bad News About Signatures First in a series of two articles about the history of signature-based detections, and how the methodology has evolved to identify different types of cybersecurity threats. Used in the context of an outdated and manually intensive technology focused on older classes of threats, there's little wonder why vendors would seek to distance the legacy term "signature" from their advanced detection technology.

How emotion tracking and machine-learning makes the Post Office less stressful Pete Markey, outgoing CMO at the Post Office, who is moving to Aviva as UK director of brand comms and marketing, discusses how marketers use science and art. Find out who else is in our Power 100 Anyone interested in the future of design should have a look at the new Batmobile.

Machine Learning and Retail Execution - AFS In today's webinar Andres Jejen, Product Management Director at AFS will be presenting. With all the data available these days, the decision making process at all levels has become a cumbersome task.

Machine Learning News Issue 29

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The Role of a Data Scientist in 2016 Already crowned as the best job in America for 2016, the definition and skill set required to be a data scientist is in a constant state of flux. Advancements in technology and business demand drive its evolution in an ever-changing industry. In this article, we take a closer look at the role of a Data Scientist in 2016.

DARPA's latest grand challenge takes on the radio spectrum Electronics One of the most hotly contested bits of real estate today is one you can't see. As we move into an increasingly wireless-connected world, staking out a piece of the crowded electromagnetic spectrum becomes more important.

The role of machine learning in data science and analytics Machine learning has crossed from the lab to the business world. Machine learning provides insights that help to create more intelligent data-driven applications that improve business processes, operation, and easier decision making.

How Deep Is Your Learning? We're on the brink of an explosion of innovation in deep learning, because we're capturing so much more data and we've got so much more computing power to process and analyze it all.

Alphabet Inc (GOOG) Google Cloud Conference Focuses On User Centricity And Machine Learning Published By: Eunice Gettys on March 29, 2016 12:16 pm EST Alphabet Inc. (NASDAQ:GOOG) has outlined near term goals for its cloud platform at its Global Cloud Platform Global User Conference 2016. The company, which is among the most dominant cloud platforms, is reorienting its priorities towards being more user centric for starters.

Bank of Russia uses machine learning to identify unlicensed money lenders The Bank of Russia is using machine learning technology to identify unlicensed money lenders, and the websites hosting them. The technology, developed by Yandex Data Factory, has helped to reveal 2,500 suspicious organisations. The system uses algorithms to search out websites hosting illegal cash loan providers and unregulated financial activity by indexing web pages related to microfinance and consumer loans.

This GPS app learns your habits to become an on-road personal assistant Google Maps screenshot and Melia Robinson/Business Insider Imagine a smartphone app that was like "Her" for the car - that's the idea behind Seattle-based company INRIX's newest app. The 10-year-old company gathers real-time traffic information and provides data for the navigation system built into your car's dashboard.

Goldman looks to machine learning to solve legacy conundrum Goldman Sachs employs about 9,000 engineers in its technology division. That puts the Wall Street firm's technology team close to the total headcount of some the world's most valuable internet companies. Facebook employs about 12,690 people globally, Yahoo has roughly 10,400 employees and Twitter has a staff of 3,900.

Machine Learning as a Service: How Data Science Is Hitting the Masses Machine learning is an enigma to most. For decades it's a been a field dominated by scientists and the few organizations with enough computing power to run complex algorithms against huge datasets.

Microsoft's developer conference highlights machine learning Microsoft Build, the company's annual conference with software developers, gets underway Wednesday. Microsoft will be talking about its plans for the year, and encouraging developers to think up new applications for its products. One of the most important things Microsoft is highlighting is artificial intelligence and machine learning.

Machine Learning News Issue 28

Welcome to the Momenta Learning News on Machine Learning. This is issue 28, please feel free to share this post.

Machine Learning Nears Inflection Point - Markets Media Although the machine-learning discipline is more than 30 years old, the nascent technology is poised for a serious growth spurt that may put puberty to shame. "As machine learning becomes more mainstream and there's more understanding of how the technology works, I thing we will see exponential growth," said Drew Warren, president and CEO of smart-data processing vendor Recognos Financial.

How one AI security system combines humans and machine learning to detect cyberthreats - TechRepublic The risk of cyberattacks is one of the most dangerous threats facing businesses today. And while new versions of attacks are constantly being born, teams of analysts are rushing to keep up with the latest risks.

Machine Learning Can Help Kids with Autism Recognize Emotions Gamifying this often daunting task could prove more effective than traditional methods Recognizing and responding to emotional and mental states of others is one of the frequently reported symptoms for children with autism. By turning input from Narrative Clip, a wearable camera, and Microsoft's emotion recognition software into a game, Autimood can help kids enhance their social skills in a fun and effective way.

Five Things to Watch for At This Year's Strata + Hadoop Conference With the Strata + Hadoop World conference kicking off Monday, I would like to offer my perspective to help attendees who are at risk of being overwhelmed by all the noise and hype that are sure to follow. Last year, at Strata + Hadoop World in New York, conference goers were dazzled by Apache Spark.

How 4 Startups Are Harnessing AI In The Invisible Cyberwar Cybersecurity startups are setting their scopes on a potential goldmine of automated systems they hope will be more effective than hiring human enterprise security teams. There is growing concern across the board that we might be losing control over cybersecurity.

Data Scientists Love Jobs, Dislike What They Do Most: Clean Data -- ADTmag Paradoxically, data scientists love their jobs overall but dislike what they do most: cleaning and organizing data. That's one of the main takeaways from a new report by CrowdFlower Inc. on what has been called the " sexiest job of the 21st century."

Are data analytics bootcamps the next big thing? Believe the hype: data science is here to stay. Since 2013, has been offering a full-time data science bootcamp in New York. Tailored specifically for people with some experience coding and an aptitude for math, the program expanded to San Francisco last year, where it's about to commence its second class.

Former Google Spam Fighter: Machine Learning Already In Spam Algorithms Yesterday we reported that Google is aiming to use machine learning in spam algorithms, to better fight spam. Shortly after I wrote that, former Google spam fighter Murat Yatagan, said machine learning is already baked into the spam algorithms. Murat worked at Google for several years and many of those years specifically on search quality and spam.

Three Crucial Ways Machine Learning for Monitoring Automation Advances IT - Computer Technology Review by Richard Whitehead The increase in complexity, along with the accelerating rate of change in IT are the two factors that make it so difficult for IT operations teams to identify issues without having deep knowledge of a particular setup.

Machine learning technique boosts lip-reading accuracy For human lip readers, context is key in deciphering words stripped of the full nuance of their audio cues. But a technology model for lip-reading developed at the University of East Anglia in the UK has been shown to be able to interpret mouthed words with a greater degree of accuracy than human lip readers, thanks to the application of machine learning tech to classify the visual aspect of sounds.