Wednesday, May 18, 2016

Machine Learning News Issue 45

Welcome to the Momenta Learning News on Machine Learning. This is issue 45, please feel free to share this post.
Momenta Learning

What humans need to learn about machine learning

Artificial intelligence, machine intelligence, cognitive computing - whatever you want to call machines that are capable of understanding and acting upon their environment - is no longer solely the purview of highly credentialed lab directors and deep-thinking computer scientists.

Facebook details its company-wide machine learning platform, FBLearner Flow

Facebook today is talking for the first time about FBLearner Flow, a piece of software that manages machine learning models for employees throughout the social networking company.

MarTech Landscape: What is machine learning and why should marketers care?

Way back in the last century, one of the most common put-downs of computers was the accusation that they only did what they were programmed to do. Not any more. These days, it is increasingly common for marketing and many other kinds of systems to employ some variety of "machine learning," which moves away from the days when programmers dictated computers' every move.

Why machine-learning will enhance, not replace, human creativity

Machines are getting smarter. And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right?

Machine Learning Could Address Fixed-Income Liquidity Woes

At this year's North American Trading Architecture Summit, panelists talked about the need for automating the order book, with machine learning helping in this regard. Anthony finds this idea very interesting.,Industry Issues & Initiatives,Trading Technologies and Strategies,Market Data & Data Analytics ,Tech,Editors letter,North American Trading Architecture Summit 2016,Machine Learning,fixed income

Don't Be Afraid of Predictive Analytics

Operating in what is rated as the third-most competitive economy in the world, it's no surprise that U.S. businesses focus heavily on measurement and return on investment in most aspects of their business. One significant line item that has enjoyed sanctuary is learning and development.

How Seattle is poised to be an epicenter for machine learning and artificial intelligence - GeekWire

Seattle is poised to be an epicenter for machine learning and artificial intelligence. That's one takeaway from the inaugural Machine Learning / Artificial Intelligence Summit hosted by Madrona Venture Group on Wednesday in downtown Seattle.

The future of machine learning: 5 trends to watch around algorithms, cloud, IoT, and big data - GeekWire

Algorithms. Cloud. Internet of Things. Data. No one can predict the future of technology with 100 percent accuracy. But these four pillars are certainly at the forefront of innovation in the years ahead.

How Facebook's Ad Tech Helped Lead To The New Era Of Machine Learning - ARC

"It cannot yet invent a new AI algorithm .... But who knows, down the road ..." In 2011, an entrepreneur named Jeff Hammerbacher summed up the dystopian malaise many people in the tech industry felt about the state of Web and mobile innovation.

Crowd-augmented cognition

Crowdsourcing has brought us Wikipedia and ways to understand how HIV proteins fold. However, most tasks have proven resistant to distributed labor, at least without a central organizer. Aniket Kittur of Carnegie Mellon University has designed crowdsourcing frameworks that combine the best qualities of machine learning and human intelligence, allowing distributed groups of workers to perform complicated cognitive tasks.

Monday, May 16, 2016

Machine Learning News Issue 44

Welcome to the Momenta Learning News on Machine Learning. This is issue 44, please feel free to share this post.
Momenta Learning

Machine Learning Solves Game Of Thrones Anxiety, Caterpillar's IoT Ambitions

image courtesy HBO via TVline.com Now there is a mobile application that uses machine learning to predict the next death in Game of Thrones. Predicting how they die, like Jon Snow, maybe, would truly be a killer app... Intel announced 12,000 job cuts Wednesday as it changes focus from the microchips that drive personal computers to [...]

AI-On-A-Chip Soon Will Make Phones, Drones And More A Lot Smarter

Movidius' Myriad 2 vision processing chip (Photo: Movidius) The branch of artificial intelligence called deep learning has given us new wonders such as self-driving cars and instant language translation on our phones. Now it's about to injects smarts into every other object imaginable. That's because makers of silicon processors from giants such [...]

Machine-learning tool mines lab notebooks for lessons from failed reactions

A team of researchers has created a machine-learning tool to analyze failed chemical reactions. The system is designed to sift through misfires in researchers' lab notebooks in search of insights that can support more accurate predictions about what reactions are likely to work in the future.

DataRobot Looks to Cut Data Science Backlog

The data science automation specialist DataRobot Inc. is gaining traction in the big data market for its machine-learning application as new investors like Intel Capital fund its expanding operations. Boston-based DataRobot has so far raised more than $57 million in four equity investment rounds, including a $33 million funding round completed in February.

A.I. Is Getting Better at Spotting Galaxies

A computer can't match a human's ability to identify cosmic objects, but recent advances in machine learning are helping to close the gap. Please consider disabling it for our site, or supporting our work in one of these ways Subscribe Now >

Does big data have a discrimination problem? Some say...maybe

Big data is increasingly viewed as a strategic asset that can transform organizations through its use of powerful predictive technologies. But when it comes to systems that help make such decisions, the methods applied may not always seem fair and just to some, according to a panel of social researchers who study the impact of big data on public and society.

Woo's new matching algorithm matches candidates with jobs

Woo, the platform that lets you find the right job without giving up personal information, is rolling out a matching algorithm to put you into a job faster. Using your skill-set and stated desires for your next job, Woo says it's data-driven matching has led to an 80 percent relevancy in matching candidates to jobs so far.

Why ONI May Be Our Best Hope for Cyber Security Now

Huge volume of network data has made it all but impossible for the good guys to detect new security threats, which has created space for the bad guys to operate. But thanks to a new Apache big data project called Open Network Insight (ONI), the good guys now have a powerful way to cut through the noise and identify bad guys and their malicious schemes.

Predicting precision of movement tasks

Even simple, frequently carried-out movement tasks like opening a door or grasping an object are sometimes realized better and sometimes worse, sometimes faster, sometimes slower, sometimes more precisely, sometimes less precisely. This variability in performance can be traced back in part to brain activity.

Pedro Domingos on Machine Learning and the Master Algorithm | EconTalk | Library of Economics and Liberty

EconTalk Episode with Pedro Domingos What is machine learning? How is it transforming our lives and workplaces? What might the future hold? Pedro Domingos of the University of Washington and author of The Master Algorithm talks with EconTalk host Russ Roberts about the present and future of machine learning.

Sunday, May 15, 2016

Machine Learning News Issue 43

Welcome to the Momenta Learning News on Machine Learning. This is issue 43, please feel free to share this post.
Momenta Learning

Building and deploying large-scale machine learning applications

The O'Reilly Data Show Podcast: Danny Bickson on recommenders, data science, and applications of machine learning. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS.

Marketing in a Digital World: Machine Learning is Upping Innovation and Agility

Svetozar Georgiev, the Senior Vice President of Application Platforms at Progress Software elicits how Machine learning is driving CMS technology's evolution, equipping marketers with the analysis and intelligence to be agile in a shifting digital world. In an ever-changing world of increasingly digital businesses, marketers need to be able to respond instantly to a multitude of factors.

Open Source Projects Are Transforming Machine Learning and AI

Machine learning and artificial intelligence have quickly gained traction with the public through applications such as Apple's Siri and Microsoft's Cortana. The true promise of these disciplines, though, extends far beyond simple speech recognition performed on our smartphones.

Computers trump chemists by studying failed experiments

The algorithm's success rate is higher than a human scientist, in part because it's analysing data from failed experiments, otherwise known as "dark reactions." Often, these sit in laboratory notebooks, accessible only to the scientist that conducted the original experiment.

Robot regulators could eliminate human error

Through the use of sophisticated machine learning algorithms, for example, computers now work to filter out spam messages automatically from our email. Algorithms also identify us by our photos on Facebook, match us with new friends on online dating sites, and suggest movies to watch on Netflix.

Lab Failures Turn to Gold in Search for New Materials

"Learn from your mistakes." It's a familiar adage but people still tend to highlight their successes and sweep their failures under the rug, as a professor at Princeton University pointed out last week when he published his "CV of Failures" ( pdf), which has since gone viral.

CSE Neuroengineer Tackles Consciousness, Neuromorphic Engineering and Machine Learning

Computer scientists are not often invited to present their research at The Science of Consciousness annual conference, but University of California San Diego development engineer Stephen Deiss did just that. He spoke to the meeting in Tucson, AZ, in late April on the subject of "Romancing the Oxymoron: The 'Hardware Problem' of Machine Consciousness."

Boeing testing visual data technology that could help predict the future, and protect us

HUNTSVILLE, Ala. - Boeing is the world's largest maker of airplanes, but in this competitive world the factory line for "Big Blue" can always get more efficient, and safer. "Protecting the future is all about looking at the art of the possible.

Not lost in translation: Researchers 'teach' computers to translate accurately

Online translators are getting better, but there's still room for improvement. Researchers are now contributing new artificial intelligence techniques that could help accurately build full sentences. Algorithms developed by researchers at the University of Liverpool give computers a human-like touch while translating words and languages. They believe their methods are key to improving accuracy.

Using Machine Learning to Predict Out-Of-Sample Performance of Trading Algorithms - DataRobot

A guest blog by Thomas Wiecki, Lead Data Scientist, Quantopian Earlier this year, we used DataRobot to test a large number of preprocessing, imputation and classifier combinations to predict out-of-sample performance. In this blog post, I'll take some time to first explain the results from a unique data set assembled from strategies run on Quantopian.

Machine Learning News Issue 42

Welcome to the Momenta Learning News on Machine Learning. This is issue 42, please feel free to share this post.
Momenta Learning

Machine learning could become powerful tool in plastic surgery

With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning-a subfield of artificial intelligence-to improve medical care and patient outcomes.

Machine Learning Breaks Bottleneck In Gathering Valuable Information About Cancer

Machine learning applied to free-text pathology reports is shown to break a bottleneck that interferes with the process of turning electronically gathered clinical records into information that has widespread value in the healthcare industry.

The new face of data leaks is fuzzy

I dare say nobody wants to be the target of malicious hackers, and certainly doesn't want private data out there in the hands of unknown third parties. As individuals, we keep secret our most personal information - bank accounts, passwords and medical information - because we know it can be used against us.

How Comcast Uses Data Science and ML to Improve the Customer Experience

Summary Jan Neumann presents how Comcast uses machine learning and big data processing to facilitate search for users, for capacity planning, and predictive caching. Jan Neumann is a manager in the Comcast Labs DC research group developing novel solutions for big data analysis, recommendation systems, intelligent image understanding and automatic content extraction from video.

Top /r/MachineLearning Posts, April: New Google Machine Learning Videos, Deep Learning Book, TensorFlow Playground

Check out the most popular topics on Reddit's Machine Learning subreddit from April, including TensorFlow, deep learning, tutorials, self-reflection, and free books. April on /r/MachineLearning brings top posts in deep learning video tutorials and books, the TensorFlow Playground, deep conversation centered on an xkcd comic from 2014, Microsoft cognitive APIs, and a meta-conversation on the subreddit's direction.

Uber Will Use Machine Learning To Reduce Surge Pricing

Many consider surge pricing to be one of the negative points of Uber. The ride-sharing service maintains that surge pricing allows it to ensure that passengers can always get a ride when they need ...

White House to bring us up to speed on artificial intelligence hype latest

The Obama administration says it wants everyone to take a closer look at artificial intelligence with a series of public discussions. The workshops will examine if AI will suck jobs out of the economy or add to it, how such systems can be controlled legally and technically, and whether or not such smarter computers can be used as a social good.

IBM Watson IoT - What is Watson IoT

Learn about how IBM Watson Internet of Things (IoT) is helping provide every object, product, process and service the ability to think.

Machine Learning Opens Up Cloud Opportunity For GPUs

Machine learning - software that gets smarter by learning from data - is exploding in popularity. To keep up, servers - the workhorse of the Internet - will have to get a lot smarter. Specifically, they'll need greater computing horsepower to process image, voice and other forms of cognitive workloads.

Interview: Otto combining machine learning with people power - Essential Retail

Michael Sinn, vice president of category support at Otto Group, on the need to boost data science skills in retail and how employees can work alongside machine-learning systems for the betterment of business.

Wednesday, May 11, 2016

Machine Learning News Issue 41

Welcome to the Momenta Learning News on Machine Learning. This is issue 41, please feel free to share this post.
Momenta Learning

SIBWeb - Machine Learning for Personalized Medicine Symposium-Event

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'Machine learning' may contribute to new advances in plastic surgery

With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning -- a subfield of artificial intelligence -- to improve medical care and patient outcomes.

Why Science Still Matters In A Data-Driven Age

Inside Science Minds presents an ongoing series of guest columnists and personal perspectives presented by scientists, engineers, mathematicians, and others in the science community showcasing some of the most interesting ideas in science today. (Inside Science Minds) -- We recently met with a host of biotechnology leaders and were struck by their infatuation with Big Data and machine learning.

MetLife data scientists working on machine learning

Global insurance company MetLife is taking the Internet of Things (IoT) and machine learning very seriously, despite still being in the early stages of implementing and exploiting the technology, according to MetLife VP of enterprise analytics Malene Haxholdt.

Movidius puts deep learning chip in a USB drive

Today Silicon Valley chip maker Movidius released the Fathom Neural Compute Stick. It looks like a measly thumb drive, but inside it packs a high-end visual processing unit that can do a bunch of advanced image recognition. That chip, which is called the Myriad 2, is the same one powering the computer vision and autonomous features in DJI's latest drone.

This old French film trailer was colorized with artificial intelligence

The machine learning community has responded to a paper published this week that introduced a method of colorizing black-and-white photos using artificial intelligence. One redditor, mar_cnu, used this new automated colorization technique on a trailer for 1964 French filmLa 317 ème Section ( The 317th Platoon), a black-and-white movie about a French platoon stuck behind enemy lines at the end of the Indochina War.

Big Data: Will We Soon No Longer Need Data Scientists?

The job of data scientist - the quintessential big data job, and the job that was just voted the best job in America for 2016 - is at risk. Data scientists have been called "unicorns" because finding the right person with the right set of skills - including coding, statistics, machine [...]

How Machine Learning and Auction Theory Power Facebook Advertising - Social Media Week

More than 1 million individuals use Facebook everyday, and over 2.5 million Pages on Facebook advertise their business, products, and services. In this forward-thinking talk, a Research Scientist at Facebook explains how machine learning and auction theory truly works. 36 days until 20,000+ global leaders come together for SMW June 6-10.

Getting Started With Data Analytics

In this 90-minute session on June 28, learn strategies for advancing your company's analytics capabilities without monster size investment in people or technology. BMGI CEO David Silverstein and Chief Data Scientist Riaan Brits will offer examples of the kinds of things being done in the world of analytics today.

Why image recognition is about to transform business

At Facebook's recent annual developer conference, Marc Zuckerberg outlined the social network's artificial intelligence (AI) plans to "build systems that are better than people in perception." He then demonstrated an impressive image recognition technology for the blind that can "see" what's going on in a picture and explain it out loud.

Sunday, May 8, 2016

Machine Learning News Issue 40

Welcome to the Momenta Learning News on Machine Learning. This is issue 40, please feel free to share this post.
Momenta Learning

Get ahead: 3 high-demand cloud skills for 2017

When you look at cloud skills, it's more important to think about what's coming rather than what's already here. Why? Thousands of IT people will complete cloud certification programs this year. If you delay, the job market may be flooded by the time you're ready.

Microsoft brings 'Internet of Things' to jet engines

Soon the "Internet of Things" will be keeping watch on jet engines, refrigerators and freezers, factory floors and more, thanks to a series of partnerships announced by Microsoft at the Hannover Messe industrial fair in Germany.

The one machine learning concept you need to know

Machine learning is hard. Some people spend weeks, months, even years trying to learn machine learning without any success. They play around with datasets, buy books, compete on Kaggle, but ultimately make little progress. One of the big problems, is that many people just want to "dive in and build something."

What is Machine Learning? (cont.)

What is Machine Learning? Part 4 of 7 in our AWS Innovation series | by James O'Keeffe, Pre-Sales Technical Lead at Bulletproof Cont. from here. Now we are ready to configure our ML Datasource and Model.

This startup is using machine learning to create animal product substitutes

The Not Company The future of food looks a lot like advanced animal product substitutes; we've already gone beyond tofurkey to plant-based burgers that "bleed." The Not Company Down in Santiago, Chile, a five-person startup is using machine learning to figure out how to create its own versions of vegetarian substitutes for animal products.

Why it's time for CIOs to invest in machine learning

Cornell University wants to help whales avoid getting hit by ships, so it is working on an algorithm that uses audio recordings to alert ships to the whales' whereabouts. Dassault Systèmes is creating a 3D model of a human heart that will allow surgeons to test the performance of pacemakers before opening up patients.

YouTube's redesigned app uses machine learning to recommend better videos

Today, YouTube is updating its mobile app to provide a better 'Home' experience. You'll now see larger thumbnails for recommended videos, which YouTube says is curated based on a deep neural network technology that looks at your search and watch patterns.

Deep-learning neural network creates its own interpretive dance | ExtremeTech

Way back in 2005, when Will Wright unveiled Spore to an astonished crowd at GDC, there was one particular part of the demo that seemed to generate buzz: procedural dance.

Google Cloud Conundrum: 7 Questions That Need Answering - InformationWeek

In an effort to gain enterprise interest, Google announced changes to its cloud platform last month that would beef up machine learning and big data capabilities. Still, many questions remain about whether Google's cloud will ever be a serious enterprise contender.

Using Machine Learning APIs and Making Your Apps more Intelligent | SkillsCast | 26th April 2016

Londroid: The London Android User Group community cast. Lilian Kasem: The key to moving toward a future of ubiquitous and unobtrusive computing? To accept th...

Monday, May 2, 2016

Machine Learning News Issue 39

Welcome to the Momenta Learning News on Machine Learning. This is issue 39, please feel free to share this post.
Momenta Learning

Australian Energy Giant Uses Machine Learning to Predict Catastrophes

Big data can't deliver on its potential unless enterprises have the right tools to extract insights. Woodside, an Australia-based oil and gas giant, realizes this and is using advanced machine learning technology to leverage its data via predictive analysis.

Video: Intel's Machine Learning Strategy - insideHPC

In this video from the HPC User Forum in Tucson, Gary Paek from Intel presents: Intel's Machine Learning Strategy. "Earlier this week, Intel announced the inception of the Intel Data Analytics Acceleration Library (Intel DAAL) open source project.

Baidu opens self-driving car R&D center in Silicon Valley

The firm says it will grow its team to more than 100 researchers and engineers by the end of the year, and has already moved several staff from its new Autonomous Driving Unit (ADU) to Sunnyvale and hired a Tesla Autopilot software engineer.

Neural Networks and the Future of Machine Learning - insideBIGDATA

In this special guest feature, Gary Baum, Vice President of Marketing at MyScript, talks about how handwriting recognition is enhancing machine (and human) learning. As an input method, handwriting recognition teaches machines to adapt to the user, adding in another layer to their evolving skill set.

Microsoft faces tough challenge in machine learning

Microsoft is facing a tough challenge in its machine learning business, failing to draw as much attention as its counterparts, including Google and IBM. This comes as machine learning, a kind of artificial intelligence (AI), has become a buzzword after the recent go matches between the Google-developed AI system AlphaGo and human go champion Lee Se-dol.

Alphabet: Not As Bad As It Seems

The headline numbers from Alphabet ( GOOG, GOOGL) certainly did not impress investors, but I thought the company reported a solid quarter with FX-adjusted revenue growth of +23% y/y, which is impressive given GOOG's revenue run rate of $80 billion. Consistent with my prior view, cost control was better than expected, and this delivered a solid operating margin.

Inventors design gloves which translate sign language to speech

Two US students have designed gloves which translate hand gestures 'SignAloud' gloves translate American Sign Language to spoken English The entrepreneurial pair recently won $10,000 for their innovative design Initially aimed at the deaf and hard-of-hearing community, the gloves could potentially find use in stroke rehabilitation and virtual reality For people living in a world without sound, sign language can make sure their points of view are heard.

Hot property: How Zillow became the real estate data hub

If you're buying a home or looking for an apartment, most likely Zillow.com will come to mind first, which is a branding triumph for a website that launched just 10 years ago. Today the Zillow Group is a public company with $645 million in revenue that also operates websites for mortgage and real estate professionals -- and completed the acquisition of its nearest competitor, Trulia, last year.

Machine learning seen speeding diagnoses

Researchers at Regenstrief Institute and Indiana University School of Informatics and Computing say they now can detect cancer cases using data from free-text pathology reports at least as well-and faster-than clinicians reviewing reports manually. The researchers used existing data algorithms and open source machine learning tools to create a breakthrough electronic approach that could significantly speed patient diagnoses and public health reporting.

Machine Learning Lead Topic on NATAS C-Level Panel

Machine learning and what its increased popularity means for the industry as a whole was the first topic the C-level panel tackled at this year's North American Trading Architecture Summit in New York.,Industry Issues & Initiatives,Trading Technologies and Strategies,Regulation & Compliance ,Tech,New Perspective,Deutsche Bank,Citi,North American Trading Architecture Summit 2016,Lord Abbett,Two Sigma Investments