Machine Learning News Issue 15

Welcome to the Momenta Learning News on Machine Learning. This is issue 15, please feel free to share this post.

Free text to speech software with Naturally Sounding Voices --Order text to speech software for naturally sounding voices. Let your computer read most documents with naturally sounding voices and convert text to MP3, or text to WAV files, text to audio files, read text aloud, download free text to speech software now text readers, computer reader, Reader, online reader, talking text, voice text.

Machine learning spinout from Oxford University unlocks big data insights Oxford University spinout Mind Foundry is developing software that will help organisations solve problems by unlocking insights hidden deep within their data. The Oxford team uses advanced machine learning algorithms to solve problems which can only currently be solved by teams of data scientists, or which are currently unsolvable.

Salesforce Acquires PredictionIO To Build Up Its Machine Learning Muscle Salesforce has made another acquisition to build out its technology in machine learning and big data analytics: the company has acquired PredictionIO, a startup based out of Palo Alto that had developed an open source-based machine learning server.

Simulations Plus: A Lollapalooza Candidate At The Intersection Of Machine Learning And Biology Simulations Plus is a fun company! Its software predicts how chemicals affect people. A drug designer draws a molecule up, and voila, 100+ biologically relevant predictions.This is a real company. It

9 Reasons To Crowdsource Data Science Projects - InformationWeek The data science talent shortage has some companies thinking outside the box. Even if your company employs a formidable data science team, you would likely still benefit from third-party ideas or solutions. Data science competitions and other forms of crowdsourcing offer viable means of advancing the art of the possible relatively quickly and cost-effectively.

Doc Mgt Roll-Up: Gmailify Your Inbox Google has always been clear about its ambitions for Gmail. Simply put, it wants Gmail to be the email powerhouse - so much so, that last year it enabled users to access emails from other providers like Yahoo Mail or Outlook.com in the Gmail app on Android.

Google Translate adds Shona and 12 other languages to its roster - Techzim If you've ever had any problems dealing with any foreign text one tool that likely turned up as an option was Google Translate, the machine learning-based translation service from the search engine giant. The good news is that it has added 13 new languages to its roster, including one of Zimbabwe's own native tongues, Shona.

New tool uses machine learning to personalize emails Most marketing email gets personalized using a static template which limits the amount of information that can be tweaked for each recipient. Marketing automation company Boomtrain is launching a new platform, Boomtrain Editor, that adds advanced machine learning personalization regardless of email provider.

Next-generation cybersecurity strategies: immune systems and machine learning Dave Palmer, Director of Technology at Darktrace, is a cyber security technical expert with over ten years' experience at the forefront of government intelligence operations. He has worked across UK intelligence agencies GCHQ and MI5, where he delivered mission-critical infrastructure services and managed the security of global networks.

Structure Data will bring Top Minds in Big Data, Machine Learning and Artificial Intelligence to San Francisco - Press Release Rocket Structure Data, scheduled for March 9th and 10th at UCSF Mission Bay, will bring together the world's top computer scientists, software executives and business users to discuss how advances in data technology are already reshaping our world-and why it's only the beginning. San Francisco, CA (PRWEB) February 22, 2016 Structure Data, scheduled for March 9th ...

Machine Learning News Issue 14

Welcome to the Momenta Learning News on Machine Learning. This is issue 14, please feel free to share this post.

Microsoft brings on-the-fly translations offline with the help of machine learning - GeekWire Language barriers are pretty low in today's connected world, with many simple phrases just a web search away. But for international travelers, that search could cost them big in overseas data charges. Many translation apps allow users to store some phrases on their device, but if users don't think of a particular phrase beforehand, they're out of luck.

Google Translate Adds More Languages, Covers 99% of Users | NewsFactor Network Google Translate Adds More Languages, Covers 99% of Users By Shirley Siluk / NewsFactor Network With its 10th anniversary approaching, Google Translate has expanded its repertoire of languages to 103, which means it can now provide machine learning-based translations to about 99 percent of the world's online population.

Google's Cloud Vision takes image recognition to the next level Google has thrown another new AI tool into its developer's box in the form of its Cloud Vision API. The beta release of Cloud Vision, which had been available in limited preview since last December, is the latest in a flurry of AI-related announcements from Silicon Valley giants, as Google goes head to head with companies like Microsoft and IBM in a race to dominate this emerging niche.

Tesla Partner Nvidia Delves Into AI With Facebook, Alibaba Tesla[ticker symb=TSLA] partner Nvidia[ticker symb=NVDA] forged alliances during Q4 with Facebook[ticker symb=FB] and Chinese Internet major Alibaba[ticker symb=BABA] for speedy artificial intelligence chips, Nvidia CFO Colette Kress said late Wednesday on the chipmaker's earnings conference call. And tech giants Alphabet[ticker symb=GOOGL], Microsoft[ticker symb=MSFT] and IBM[ticker symb=IBM] also are eyeing AI, she said.

Three UW professors win Presidential Early Career Award for Scientists and Engineers Engineering | Honors and awards | News releases | Research | Science Three University of Washington professors have received the 2016 Presidential Early Career Award for Scientists and Engineers, the highest honor given by the U.S. government to early career scientists and engineers.

Layering on Machine Learning to Speed Data Transformation There are few more widely recognized names in modern database research than Dr. Joseph Hellerstein. The Berkeley professor and Trifacta co-founder has spawned new approaches to relatively old problems on the programmatic and database design and implementation fronts.

Improving Today's Dynamic IT with Machine Learning as a Formal & Agile Approach to ITSM - Computer Technology Review by Stephen Hart Modern IT Service Management is working pretty well, all things considered. It enables highly distributed teams, parts of which may even work for entirely different companies, to come together to support business services that rely on extremely complex software stacks - and to do it pretty effectively, at least most of the time.

Where Artificial Intelligence Is Now and What's Just Around the Corner - Singularity HUB 13,935 15 Unexpected convergent consequences...this is what happens when eight different exponential technologies all explode onto the scene at once. This post (the second of seven) is a look at artificial intelligence. Future posts will look at other tech areas.

Spark man Zaharia on 2.0 and why it's 'not that important' to upstage MapReduce Interview Spark is the open source cluster computing system started in 2009 by Matei Zaharia, when he was but an 'umble PhD candidate at Berkeley's AMPlab. Some people hope it will become the logical successor to MapReduce. Donated to the Apache Software Foundation in 2013, Spark has been backed by IBM.

Taking Creepiness Out of Computer Voices As machine learning and the use of artificial intelligence spread, technologists are running into questions over when A.I. can get too real - and too creepy. One area where that is increasingly cropping up is in speech that is powered by technology, John Markoff writes.

Machine Learning News Issue 13

Welcome to the Momenta Learning News on Machine Learning. This is issue 13, please feel free to share this post.

Can Artificial Intelligence Answer Our Email? Many of us harbor a love hate relationship with email. We hate its Sisyphean tedium, but we love to stay on top of our world and our work objectives. Ultimately, many of us end becoming a slave to our own inboxes. The question now then is...

Machine Learning Is About To Revolutionize Search: Here's How Google Search is on the forefront of a machine learning revolution, and as search marketers, we need to be prepared for what's coming next.

How Advanced Analytics and Machine Learning Are Transforming Healthcare Big Data in healthcare has tremendous potential to improve patient care and finally obtain reasonable costs. Healthcare spending is being curtailed and the focus is on reducing the expenses without compromising on the quality of care. This shift forces the healthcare organizations to open up for technology-based solutions that curb the need for costly spending.

Can The NSA's Machines Recognize A Terrorist? Machine learning algorithms used by the U.S. National Security Agency to identify potential terrorists in Pakistan may be ineffective, because we just don't have enough data to tell the signs of a terrorist, claims an investigation by Ars Technica UK.

Fujitsu Deep Learning Technology Analyzes Time-series Data with High Precision Fujitsu Laboratories has developed an approach to deep learning that uses advanced chaos theory and topology to automatically and accurately classify volatile time-series data. In benchmark tests that classified time-series data captured from gyroscopes in wearable devices, the new technology was found to achieve roughly 85 percent accuracy, about a 25 percent improvement over existing technology.

How-to Predict Telco Churn With Apache Spark MLlib - DZone Big Data Spark MLLib is a library for performing machine-learning and associated tasks on massive datasets. With MLlib, fitting a machine-learning model to a billion observations can take a couple lines of code and leverage hundreds of machines. MLlib greatly simplifies the model development process.

7 Tech Trends in 2016 That Web Designers Need to Understand (And Why) Web design and development go hand in hand. While design is by no means the lesser component, it's the underlying tech which always sets the pace for advancements. Therefore, it's crucial for web designers to stay on top of the latest developments in order to remain a step ahead in their...

Machine Learning: How You Started Working for the Machines During the last fifteen years, a strange parallel economy has covertly developed to the point where it envelops almost all internet users, including you. No money changes hands in this immense network, but it produces enormous transactional benefits nonetheless. In this economy, you labor daily as a trainer, teaching software robots how to perform tasks.

A Short History of Machine Learning -- Every Manager Should Read It's all well and good to ask if androids dream of electric sheep, but science fact has evolved to a point where it's beginning to coincide with science fiction. No, we don't have autonomous androids struggling with existential crises - yet - but we are getting ever closer to what [...]

Homeland Security Today: Dell Announces Artificial Intelligence and Machine Learning Solution By: Amanda Vicinanzo, Online Managing Editor As the cybersecurity landscape continues to evolve, artificial intelligence and machine learning will play an increasingly significant role in combatting today's increasingly sophisticated and damaging security threats, according to Dell.

Machine Learning News Issue 12

Welcome to the Momenta Learning News on Machine Learning. This is issue 12, please feel free to share this post.

Learning machines needed to unpack scholarly tome The Master Algorithm deals largely with concepts embracing intellectual practices identified by a handful of mathematically inclined intellectuals. They yearn for scholarly developments calculated from hard-nosed numbers.

Data Science Isn't Just For Data Scientists Today we see that data science isn't just for data scientists. At least that's the trend we are seeing radiate upwards from our increasing business-centric approach to the Internet of Things, big data analytics and machine learning. The new data-aware boardroom sees even CEOs and CFOs asking the IT function about 'data health'.

Why machine learning is not the silver-bullet solution to online fraud "No battleplan ever survives contact with the enemy," is one of history's most telling statements on military strategy. It's also the philosophy that data scientists, fighting an increasingly sophisticated class of fraudsters, must live by. We're in the midst of an escalating battle against online fraud.

Why Your Search Engine Resisted The Best Technology For So Long These questions originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answers by Thorsten Joachims, Professor at Cornell University working on Machine Learning from Human Behavior, on Quora. Q: What are the most interesting applications of ML to education today?

Google makes TensorFlow Serving open source, eases machine learning into production News: The system is available on GitHub under the Apache 2.0 license.

Machine learning can help prevent repeat domestic violence offenses Richard Berk, a professor of criminology and statistics in the School of Arts & Sciences and the Wharton School, and Susan B.

Machine Learning Converts Big Data from Cost Center to Profit Center - insideBIGDATA discusses how data growth lays the foundation for machine learning to power intelligent applications that adapt to your needs and squeeze insight, revenue and value from data. In this special guest feature, Rebecca Scully, marketing manager at Dato Rebecca is marketing manager at Dato.

Human Error vs. Machine Learning That humans habitually make errors is undeniable and if you ever had to 'Ctrl+Alt+Del' to address a frozen Windows application, you will know that computers sometimes do too. There are some key differences in the way that computers and humans make errors and how each has certain strengths, especially regarding cybersecurity.

sense camera runs localized machine-learning silk labs platform to link home devices sense camera runs localized machine-learning silk labs platform to link home devices founded in 2015 by former CTO of mozilla andreas gal with chris jones and michael vines, silk labs focuses on creating thoughtful experiences with connected devices by enabling them to understand, respond to, and adapt to our daily human needs.

Satellite image analysis scales with deep learning, crowdsourcing -- GCN One of the few remaining things humans can still do better than machines is recognize patterns in images. Unfortunately, humans aren't very fast at processing massive amounts of imagery. DigitalGlobe, a provider of high-resolution Earth imagery and analytics, processes 4 million square kilometers of satellite imagery every day.

Machine Learning News Issue 11

Welcome to the Momenta Learning News on Machine Learning. This is issue 11, please feel free to share this post.

Does Machine Learning allow opposites to attract? Most online dating sites use 'Netflix-style' recommendations which match people based on their shared interests and likes. What about those matches that work so well because people are so different - here is my example. In 1958, the Monotones asked, "Who Wrote the Book of Love?".

Microsoft showcases updated version of its Dynamics enterprise resource planning platform The full release of Microsoft Dynamics AX 7 will feature a new web-friendly user interface and a direct tie-in to its Azure cloud computing platform, Microsoft Corp. announced on Thursday. While an exact date hasn't yet been determined, Microsoft Dynamics AX team's general manager, Christian Pederson, estimated the enterprise resource planning (ERP) solution would be released in late February.

An Adventure Abroad in Brain-Machine Interfaces Matthew McCann, Pratt '16, spent his summer translating thoughts into movements. A biomedical engineering and mathematics major, the Duke senior contributed to work in the field of prosthetics by creating a brain-machine interface that senses different brain waves of a subject and converts them into movements of a mechanical hand.

Book Review: R for Everyone - Advanced Analytics and Graphics - insideBIGDATA I'm frequently asked about educational resources for those making their entry into the data science and machine learning professions. There are plenty of good advanced books such as theoretical masterpieces like Elements of Statistical Learning (free PDF) and Learning From Data to name just two.

Findify Achieves a Smarter Search Solution With Databricks Machine Learning Capabilities | news.sys-con.com Findify's mission is to create seamless online shopping experiences that lead to loyal customers, ultimately increasing revenue. By utilizing advanced machine learning techniques, Findify's Smart Search continuously improves its accuracy as users use the service. As such, building features that employ predictive analytics requires Findify to retain user behavior patterns and determine popular suggestions in a short amount of time.

Machine Learning Puts the Fun in Microsoft Fetch! App * The Monitor Daily Machine learning puts the fun in Microsoft Fetch! app, a recently released application that has users around the world in a hype. Heading over to the what-dog.net website will reveal a world of possibilities. Deep neural networks are tried over and over again in recognizing the most subtle differences between dog breeds.

First Automated Human Movement Machine Learning Tool from FocusMotion for Developers | RoboticsTomorrow FocusMotion, a motion recognition algorithm company dedicated to improving health through tracking and translating human movement, today announced Creator, the first machine learning tool that allows developers to teach the FocusMotion algorithm new movements.

Brain's mistakes provide insight for human & machine learning - The Tartan Brain-machine interfaces are devices that allow their subjects to control external devices using only their thoughts. Using these interfaces, a team of researchers at Carnegie Mellon has found that the brain makes mistakes because its conception of the world isn't always an accurate depiction of how the world really works.

The Rise of the Intelligent Machine Has Begun: Here's Who's Benefiting Self-driving cars, self-adjusting thermostats, machine-based virtual assistants - artificial intelligence is here, and it's awesome. AI-backed devices and apps are changing the way we live our lives, including how we track our health, lose weight, refill prescriptions, and do so much more. But AI is too powerful to be limited to consumer use.

A simplified analytics strategy for data-driven business outcomes Companies are increasing their interest in analytics and experiencing the resulting data-driven benefits, such as improved business operations or customer engagement. At the same time, some businesses remain challenged by the complexity that analytics can generate, and find it difficult to uncover real business opportunities and achieve their desired outcomes.

Machine Learning News Issue 10

Welcome to the Momenta Learning News on Machine Learning. This is issue 10, please feel free to share this post.

Funding Daily: Machine learning startup DataRobot takes in $33 million

Boston-based DataRobot took in a $33 million investment led by New Enterprises Associates, the startup announced today. The machine learning company says that with its existing offices in Asia, Europe, and the U.S., the investment will help fuel global sales and business development. Accomplice, Intel Capital, and IA Ventures also joined the round.

The Most Unresolved Problem In Machine Learning These questions originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answers by Kevin Murphy, Research Scientist at Google, former Professor at UBC, on Quora. Q: What is the most important unresolved problem in machine learning? A: Unsupervised learning.

Gorgias Uses Machine Learning To Suggest Customer Support Answers Meet Gorgias, an artifial intelligence-powered help desk to make you much more efficient when it comes to answering customer support requests. The company just raised $1.5 million from Charles River Ventures, Amplify Partners and Kima Ventures. Gorgias lets you make educated decisions without having to switch between multiple tools.

Automation and machine learning will upend insurance, says McKinsey Digital expertise will become increasingly critical in the insurance sector as digitization and machine learning leads to more highly 'automatable' insurance according to management consultants McKinsey & Company.

Is the road to machine learning paved with API providers? When it comes to machine learning, the future is already here, but it's not yet evenly distributed. Taking advantage of breakthroughs in the field can require a lot of work, which is tough for small companies and those without a whole team to build custom applications and algorithms. According to Okta CEO Todd McKinnon, there's a lot of hype around the potential of machine learning, but companies aren't actually taking advantage of it.

3 Flavors of Machine Learning: Who, What & Where To get beyond the jargon of ML, you have to consider who (or what) performs the actual work of detecting advanced attacks: vendor, product or end-user. The great promise machine learning holds for the security industry is its ability to detect advanced and unknown attacks -- particularly those leading to data breaches.

FocusMotion Releases Creator, Automated Human Movement Machine Learning Tool for Developers - insideBIGDATA FocusMotion, a motion recognition algorithm company dedicated to improving health through tracking and translating human movement, today announced Creator, the first machine learning tool that allows developers to teach the FocusMotion algorithm new movements.

The Search Party taps machine learning to spot variations in 15 million resumes Online recruitment marketplace, The Search Party, is using machine learning algorithms to scan 15 million candidate resumes to ensure it provides the right candidates to employers. Speaking at the Chief Data Officer Forum in Sydney, head of data science, Dylan Hogg, discussed the use of a custom clustering algorithm and deep neural network to spot variations in resumes belonging to the same person and job titles.

Big Data Makes for Exceptional Machine Learning As a new year kicks off, the words "big data" continue to be spoken in multiple industries all over the world. 2015 was a tremendous year for big data analytics as more businesses and organizations than ever before adopted data science in order to grasp some of the benefits it provides.

Counterfeit-spotting truth machine launches out of Dumbo - Technical.ly Brooklyn When you're buying something expensive, you want it, first and foremost, to be real. "Trust is really the problem we're solving," Vidyuth Srinivasan said. He's the cofounder and CEO of , a Dumbo company attempting to rid the world of fugazis using the power of machine learning.

Machine Learning News Issue 9

Welcome to the Momenta Learning News on Machine Learning. This is issue 9, please feel free to share this post.

Machine Learning and the Profession of Medicine

1 Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California JAMA. 2016;315(6):551-552. doi:10.1001/jama.2015.18421. This Viewpoint discusses the opportunities and ethical implications of using machine learning technologies, which can rapidly collect and learn from large amounts of personal data, to provide individalized patient care. Must a physician be human?

WoahStork, the World's First Machine Learning Cannabis Marketplace - Press Release - Digital Journal

With their February 15th launch fast approaching, patients and early adopters in California, Colorado, Oregon, and Washington are beginning to wait anxiously in anticipation. Touting both State and Federal compliance, coupon functionality and free listings for dispensaries, WoahStork's service is set to fundamentally disrupt the emerging cannabis online ordering and delivery categories.

Deep Learning Makes Driverless Cars Better at Spotting Pedestrians

Today's car crash-avoidance systems and experimental driverless cars rely on radar and other sensors to detect pedestrians on the road. The next improvement may come from engineers at the University of California, San Diego (UCSD), who have developed a pedestrian detection system that can perform in close to real-time based on visual cues alone.

Microsoft and Novartis use Kinect to help doctors assess Multiple Sclerosis

It seems that Microsoft's Kinect is definitely getting interesting use cases outside of gaming lately. For example, we told you last week how the technology allowed orangutans in an Australian zoo to play video games. Today, Microsoft is showcasing another innovative way to useKinect, in a partnership with the global healthcare company Novartis.

What the Internet of Things and Big Data Mean for Car Safety: An Interview with Neil Cawse

Technology and data have transformed many industries--and obliterated others. (Been to a Blockbuster Video lately? Bought a BlackBerry in the last five years?) It's no overstatement to say that a great deal of change is on the horizon, even in traditional areas. I've said many times that all companies are tech companies.

New Neubauer Collegium projects to explore complex human questions

The Neubauer Collegium for Culture and Society has selected 12 new collaborative research projects that unite leading scholars from the University of Chicago and beyond to explore novel approaches to complex human questions.

Robotically driven system could reduce cost of discovering drug and target interactions

Researchers from Carnegie Mellon University (CMU) have created the first robotically driven experimentation system to determine the effects of a large number of drugs on many proteins, reducing the number of necessary experiments by 70%.

Artificial Intelligence and Machine Learning in Healthcare

Data mining, machine learning and artificial intelligence are becoming the most talk-about topics in digital health. With vast volumes of medical data available, exploiting these techniques to derive valuable insights may both challenge and reshape certain elements of our healthcare system.

Machine-learning robot could streamline drug development

Testing out new drugs is an extremely time-consuming process, and it can be difficult to get right. Now, a team of scientists has worked to streamline the task, creating a robotically driven experimentation system that's able to reduce the number of necessary tests by as much as 70 percent.

Why you should use Spark for machine learning

As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations, and predictive insights. Traditionally, data scientists are able to solve these problems using familiar and popular tools such as R and Python.

Machine Learning News Issue 8

Welcome to the Momenta Learning News on Machine Learning. This is issue 8, please feel free to share this post.

Active machine learning-driven experimentation to determine compound effects on protein patterns

High throughput screening determines the effects of many conditions on a given biological target. Currently, to estimate the effects of those conditions on other targets requires either strong modeling assumptions (e.g. similarities among targets) or separate screens. Ideally, data-driven experimentation could be used to learn accurate models for many conditions and targets without doing all possible experiments.

Microsoft won't miss out on the next big tech trend

Microsoft is determined not to miss out on artificial intelligence (AI), the next big trend in technology that will, over time, filter into how everyone uses hardware, software, and the internet. Unlike mobile, which the company missed ( and continues to miss) by a mile, Microsoft has been working hard to get on top of AI, both in terms of research and integrating it into products.

The Tiny Startup Racing Google to Build a Quantum Computing Chip

Rigetti Computing is working on designs for quantum-powered chips to perform previously impossible feats that advance chemistry and machine learning. The airy Berkeley office space of startup Rigetti Computing boasts three refrigerators-but only one of them stores food. The other two use liquid helium to cool experimental computer chips to a fraction of a degree from absolute zero.

Wolves Have Different 'Howling Dialects,' Machine Learning Finds

Researchers have used algorithms to distinguish different wolf dialects. Image: Arik Kershenbaum Differentiating wolf howls with human ears can prove tricky, so researchers have turned to computer algorithms to suss out if different wolf species howl differently.

Reverse-engineering the brain to improve machine learning -- GCN

Researchers are working to reverse-engineer how the brain's visual system processes information in hopes of advancing machine learning algorithms and computer vision. The Machine Intelligence from Cortical Networks (MICrONS) research program seeks to unlock the brain's learning methods in an effort to make computers process information more like humans do.

​Why machine learning may help stop payment fraud

In 2017, the New Payments Platform (NPP) - infrastructure that offers real time payments between financial institutions and their customers' accounts - will come into effect. This essentially means that payments will be visible in a customer's account within around 10 seconds.

Will Machines Really Replace Insurance Agents?

There has been a lot of talk lately about "machine learning," and how it enables computer systems to evolve algorithms, without programmer intervention, as these systems take in updated knowledge and insights. In other words, algorithms are capable of learning and making appropriate shifts in the predictions they produce.

ESI Group: Acquisition of Mineset Inc., a Big Data Visual Analytics and Machine-Learning Specialist

PARIS--()--Regulatory News: ESI Group (Paris:ESI): Alain de Rouvray, ESI Group's Chairman and CEO, comments: "This acquisition complements the recent integration of Picviz Labs (now 'INENDI') and its technology for big data mining. Combining INENDI's data correlation detection with Mineset's pattern recognition, and linking both to ESI Group's Virtual Prototyping solutions, provides a new transformative process and source of value creation, particularly in the traditional Virtual Engineering domain.

Companies Are Reimagining Business Processes with Algorithms

Create a FREE account to: Get eight free articles per month* Access to personalized content Save articles and create shareable folders in your personal HBR library Get 20% off your first order using code HBRORGREG3** *not including articles that are exclusively for Harvard Business Review magazine subscribers **does not include

April HPC User Forum to Tackle Deep Learning, HPC in the Cloud, and More

IDC released the preliminary agenda for this spring's HPC User Forum, held April 11-13 in Tucson, AZ. Deep Learning, HPC in the Cloud, and NSCI are among the themes being tackled. There's also a technology update from Intel and a look at HPC in Europe on the agenda.

Machine Learning News Issue 6

Welcome to the Momenta Learning News on Machine Learning. This is issue 6, please feel free to share this post.

2016: The Year of the Data Jedi - insideBIGDATA

In this special guest feature, Matt Bencke, CEO and co-founder of Spare5, sheds light on how "Data Jedis," aka those that can translate and manage Big Data, will be the ones welding light sabers in 2016. Matt is CEO and co-founder of Spare5, the human insights platform that offers business solutions for big data problems through micro-tasks.

IBM Cloud Data Services Ready To Rock Enterprise With Power Features, Marketplace For Developers

IBM told the media that it is expanding its portfolio of Cloud Data Services with more than 25 services, and all can be accessed on the IBM Cloud. At least two IT groups will benefit from the new services.

Microsoft advances AI with open source toolkit

Although Redmond had hosted the CNTK on its own CodePlex site in April of the past year, it was held there under an academic license, freezing out amateur machine shepherds. The toolkit, which supports both GPU and CPU, was developed after Huang and his team realized the tools they used were slowing them down as they were trying to improve the way computers understood speech.

Lie Detection: The Truth Will Set You Free... or to Jail? - 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. We all know people who believe that they can tell if you're lying just by watching and listening.

What has Kaggle learned from 2 million machine learning models?

Anthony Goldbloom, founder and CEO of Kaggle Kaggle is a community of almost 450K data scientists who have built almost 2MM machine learning models to participate in our competitions. Data scientists come to Kaggle to learn, collaborate and develop the state of the art in machine learning.

Microsoft Selects 10 Machine-Learning Startups for Fourth-Month Accelerator

(TNS) -- SEATTLE - Microsoft is lending a hand to a set of startups working in the highly technical realm of machine learning. The company on Thursday said it had selected 10 startups out of 720 applicants to participate in a four-month accelerator in and around Seattle.

Big Data Ethics: racially biased training data versus machine learning

Writing in Slate, Cathy " Weapons of Math Destruction" O'Neill, a skeptical data-scientist, describes the ways that Big Data intersects with ethical considerations. O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness.

Next generation of machine learning rockstars will trade Google and Facebook for top secret hedge funds

We are on the cusp of an exponential shift in machine learning, the ability of a computer to automatically refine its methods and improve its results as it receives more data. For the last couple of years, technology giants such as Google, IBM and Microsoft have been in an arms race to construct artificial neural networks that mimic the human brain.

Google Search: Reasons Why AI, Machine Learning Expert Earned Keys To Kingdom

Google's search engine based on machine learning is moving to support an integration with artificial intelligence (AI). Beginning in March, the entire search business will fall into the hands of John Giannandrea, an engineer who runs Google's research division. Here's why.

Google AI gets better at 'seeing' the world by learning what to focus on - TechRepublic

Computer vision research is flourishing - delivering machines that recognise who and what is in pictures almost as well as - and occasionally better than - humans. Cheap and readily available computing power combined with models for machine learning systems - known as convolutional neural networks (CNNs) - have enabled a leap forward in the efficacy of computer vision in recent years.

Machine Learning News Issue 7

Welcome to the Momenta Learning News on Machine Learning. This is issue 7, please feel free to share this post.

Understanding Watson: A Closer Look At IBM's Analytics Powerhouse

A week ago, Google's (NASDAQ: GOOG) (NASDAQ: GOOGL) research subsidiary DeepMind reported that their latest work in artificial intelligence (AI) was able to beat the infamously complex game of Go. This caused me to write an article that explained what was going on and in which I tried to size up the AI landscape.

A new MIT computer chip could allow your smartphone to do complex AI tasks

Yesterday, a team of researchers from MIT introduced a new computer chip optimized for deep-learning, an approach to artificial intelligence that is gaining popularity. The chip, dubbed "Eyeriss" could allow mobile devices to perform tasks like natural language processing and facial recognition without being connected to the internet.

The Impact of Machine Learning on IT Departments - CTOvision.com

In much the same way businesses have been eager to use big data analytics to improve their operations, many companies have paid a lot of interest to the growing field of machine learning. Unlike some other tech trends that have come and gone, machine learning appears to be more than just some fad.

Bittersweet Mysteries of Machine Learning (A Provocation)

Frank Pasquale, professor of law at the University of Maryland, reflects on the roles of machines and machine learning in today's society, and to what extent 'opaque' algorithmic systems should be subject to human oversight. In the film 2001: A Space Odyssey, the mission-controlling computer HAL acts mysteriously, and ultimately malevolently.

Better Brain Imaging Could Show Computers a Smarter Way to Learn

Using cutting-edge imaging to study the inner workings of our brains could lead to more powerful and useful machine-learning algorithms. Machine learning is an extremely clever approach to computer programming. Instead of a having to carefully write out instructions for a particular task, you just feed millions of examples into a very powerful computer and, essentially, let it write the program itself.

What's Next, As Google's Head Of Search Leaves & Its Machine Learning Chief Takes Over?

After 15 years, the head of Google Search - Amit Singhal - has announced he's leaving Google. In his place, John Giannandrea, who has headed Google's artificial intelligence and machine learning efforts, is taking over. Good, bad or no change for Google? The end of humans shaping search results?

Will AI-Powered Hedge Funds Outsmart the Market?

Every day computers make many millions of electronic trades by performing delicate calculations aimed at eking out a tiny edge in terms of speed or efficiency. Increasingly, however, more significant trading decisions are being made by smarter, more autonomous algorithms. Both established trading firms and a handful of startups are exploring whether such trading techniques, borrowed from the field of artificial intelligence, could help them outfox other traders.

What's Next In Computer Science

These Questions originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answers by Pedro Domingos, Professor at the University of Washington and author of The Master Algorithm, on Quora. Q: What do you think of the machine learning research that is happening in industry vs.

New HPE software to tackle risk in highly-regulated industries

During the LegalTech Conference, Hewlett Packard Enterprise announced a new piece of software built to help businesses in highly-regulated industries tackle high-stakes compliance risk. The HPE Investigative Analytics software is designed to help organisations not only detect risk events and fraudulent behaviour, but to prevent them, as well, through 'breakthrough machine-learning and archiving software', as the company describes it.

The Machine Learning Revolution: How it Works and its Impact on SEO

Machine learning is becoming more and more prevalent in the SEO industry, driving algorithms on many major platforms. In this post, Eric Enge reveals his discoveries, insights, and predictions from his research on machine learning, discusses its influence on SEO, and introduces a machine learning tool he built to predict the chances of a retweet.

Machine Learning News Issue 5

Welcome to the Momenta Learning News on Machine Learning. This is issue 5, please feel free to share this post.

The Wachtell Way of E-Discovery

Maura Grossman, a Wachtell lawyer, developed a better way to do e-discovery. Why are so few other firms taking a lead with tech?

New Software Powered By Machine Learning Detects Nuclear Tests Like A Pro | CrazyEngineers

Computer Scientist Erik Sudderth from Brown University has developed a machine learning system that can detect nuclear tests performed under or on the...

IBM partners with micro-cap Bionik for machine learning algorithms in robotic exoskeleton

Several companies are working on robotic exoskeletons to enable more mobility for paraplegics, but few have focused on the data that could be generated from them. Now IBM has partnered with microcap robotic exoskeleton player Bionik Laboratories to do just that.

For healthcare, Google's cloud computing, machine learning developments steal Alphabet earnings spotlight

For anyone hoping for juicy details about Alphabet's healthcare and life science interests, its fourth quarter earnings call offered slim pickings. But if you listened to the bigger picture, the push to reorganize Google's cloud-based business offered plenty to think about.

Don't Get Disparate About Data Silos -- Wrangle Them With Trifacta

By combining visual data profiling, predictive transformation, and intelligent execution, Trifacta Wrangler allows firms to intuitively combine data sets and prepare raw data for analytics.

Google Has The Lead In Artificial Intelligence

Last week, Alphabet/Google (NASDAQ: GOOG) (NASDAQ: GOOGL) subsidiary DeepMind made a splash in the research community by publishing their work on AlphaGo, an artificial intelligence engine that can beat expert human players in the game of Go. From DeepMind's website: The game of Go is widely viewed as an unsolved "grand challenge" for artificial intelligence.

Once A Target Of Facebook, SwiftKey's A.I. Tech Goes To Microsoft For $250 Million

Microsoft adds to its new string of productivity apps while bolstering its artificial intelligence technology. Facebook tried and failed to buy the language tech company two years ago, sources say.

High School Kid Develops A Wearable Device For Parkinson's Patients

In 2014, Utkarsh Tandon, at the time a freshman at Cupertino High School in California, developed a machine learning model for his science fair project that collected and classified data on sufferers of Parkinson's disease. He won the fair, and, as part of his first place award, received a grant from the UCLA Brain Research Institute.

Defining Algorithms-a Conversational Explainer

Can I level with you? I'm not always sure I know what people are talking about when they say algorithm? You're not alone: Honestly, I haven't always been sure what I meant when I said it either. But here's the absolute simplest definition: An algorithm is a set of guidelines that describe how to perform a task.

How Technical Debt Could Leave Machine Learning Bankrupt

There has been a resounding uptick in attention around machine learning, but with relatively few large-scale systems in production (and even fewer public stories about progress and roadblocks), the wider story is all about the potential and dramatically less about the possibilities for problems. As we have covered here, building machine learning systems on the hardware front, while teeming with options, is not necessarily complex-at least in a relative sense.

Machine Learning News Issue 4

Welcome to the Momenta Learning News on Machine Learning. This is issue 4, please feel free to share this post.

The Importance of Economists in Technology Companies

Why do technology companies hire economists, and what is their contribution? What kinds of problems do they work on? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights.

Google aims to make smartphones that learn, understand the world around them

Google is partnering with Movidius, a smartphone chip designer, to put machine learning technology in mobile devices. This tech could eventually allow smartphones to understand images, speech, and written words - and to solve problems on their own. Last October, Google CEO Sundar Pichai spoke about what machine learning means for Google.

Machine Learning and Open Development Have a Bright Future Together

by Sam Dean - Jan. 29, 2016 Comments (0) Recently, OStatic caught up with Oleg Rogynskyy, who is shown here, VP of Marketing & Growth at H2O, for an interview. He detailed the renaissance going on in machine learning, and noted that open source trends are helping to drive the space forward.

Legal Technology And Innovation: Ediscovery, Machine Learning, And Transactional Practice, Oh My!

Yesterday I discussed technology and innovation in the legal profession, offering some big-picture insights from the Thomson Reuters Innovation Summit that took place here in New York on Wednesday. In today's follow-up post, I'll offer a more granular view of innovation in legal tech, focusing on specific products discussed by TR at the Summit.

How messaging bots will change workplace productivity

It's a familiar story to perhaps every knowledge worker suffering software fatigue and frustrated by the inefficient task of switching between different applications to manage information and collaborate with colleagues. Work is perhaps the one place where "there's an app for that" is viewed as burden rather than a bastion of efficiency.

Learning to solve

From developing smart 3-D scanners, to refining desalination techniques, to designing football helmets that can prevent concussions - undergraduates across the School of Engineering are midway through the year-long research projects that are part of the Advanced Undergraduate Research Opportunities Program, or SuperUROP.

The Emergence of Deep and Machine Learning

magine a host of products that can incorporate such applications as superb and accurate language translation from multiple platforms, forecast weather with pinpoint accuracy and learn chess within 72 hours - and play at the Master level.

Bionik Laboratories to Utilize Machine Learning and Analytics to Improve Neurological Rehabilitation

Working with IBM, development of cognitive computing analytical system for ARKE™ rehabilitation expected to be completed in the next year - , Feb. 1, 2016 /PRNewswire/ -- Bionik Laboratories Corp.

Why your favorite apps are designed to addict you

When marketers decide how to spend their advertising money online, a few stats are crucial. First, usage time-how much time a user spends on an app, and second, frequency of use-how often users check said network or app.

Davos 2016 -- Time To Learn About Learning?

As an educator I am fascinated by the way that learning will be re-shaped over the coming decades. Here are some of the far-reaching questions debated at Davos this year and the experiments discussed. Shouldn't Craft-based Apprenticeship Be Encouraged? Historically the returns to higher education have been significant: Graduates have earned [...]

Machine Learning News Issue 3

Welcome to the Momenta Learning News on Machine Learning. This is issue 3, please feel free to share this post.

13 frameworks for mastering machine learning

Venturing into machine learning? These tools do the heavy lifting for you

Google taps chipmaker Movidius to add machine learning to phones | ExtremeTech

A big reason the electronic devices around us are getting smarter, and hopefully more useful, is machine learning. By building complex models of data, then training those models, tasks as diverse as facial recognition, language translation, and autonomous driving can be accomplished.

Biologial Evolution & Machine Learning Are Similar, Says Turing Award Winner Leslie Valiant

Can machine learning algorithms capture the complexity of the life that has evolved on Earth? Professor Leslie Valiant shares his views at the Global Young Scientists Summit 2016. Rebecca Tan | January 29, 2016 | Editorials AsianScientist (Jan.

Machine-learning, social media data help spot flooded urban areas

Twitter and Flickr, along with remote sensor data, can be used to identify flooded areas, a team of university researchers say. It's faster than using publicly available satellite images on their own. That imaging can sometimes take days to become available, the researchers say. It's also easier to identify the flooded streets.

Searching for the Algorithms Underlying Life | Quanta Magazine

To the computer scientist Leslie Valiant, "machine learning" is redundant. In his opinion, a toddler fumbling with a rubber ball and a deep-learning network classifying cat photos are both learning; calling the latter system a "machine" is a distinction without a difference.

Recognizing correct code

MIT researchers have developed a machine-learning system that can comb through repairs to open-source computer programs and learn their general properties, in order to produce new repairs for a different set of programs. The researchers tested their system on a set of programming errors, culled from real open-source applications, that had been compiled to evaluate automatic bug-repair systems. Where those earlier systems were able to repair one or two of the bugs, the MIT system repaired between 15 and 18, depending on whether it settled on the first solution it found or was allowed to run longer.

Deep Learning in 2016: Tech Giants Move to Share Data

Deep Learning is one of the key parts of data science. As data becomes increasingly important and accessible, today's biggest companies are rapidly investing in deep learning. In fact, it is considered to be so vital to future technologies that many are sharing their own results and discoveries with the

Pentaho adds native Python integration

The integration brings the most popular coding language to Pentaho's data integration environment, allowing it to better support machine learning and analytical environments.

Deep Instinct: A New Way to Prevent Malware, With Deep Learning

Malware has proven increasingly difficult to detect via signature or heuristic-based methods, which means most Antivirus (AV) programs are woefully ineffective against mutating malware, and especially ineffective against APT attacks (Advanced Persistent Threats). Typical malware consists of about 10,000 lines of code. Changing only 1% of the code renders most AV ineffective.

Machine learning offers hope in fight against antibiotic resistance | ExtremeTech

A team from the University of Pennsylvania's Perelman School of Medicine has discovered a way to develop antibiotic chemicals by making use of powerful new techniques in machine learning.