Machine Learning News Issue 49

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

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

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

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

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

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

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

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

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

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

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

Machine Learning News Issue 48

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

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

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

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

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

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

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

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

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

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

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

Machine Learning News Issue 47

Welcome to the Momenta Learning News on Machine Learning. This is issue 47, please feel free to share this post.

Why machine-learning will enhance, not replace, human creativity | Adobe 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?

Stellar classification from single-band imaging using machine learning " Vox Charta 13 's: Brian Siana (UCR), rjoseph (EPFL - UniGe), revaz (EPFL - UniGe), Vivien Bonvin (EPFL - UniGe), kstringer (Texas A&M), otelford (University of Washington), Reiko (AIfA-Cosmo), imomcheva (STScI/JHU Galaxies), zhengz (University of Utah), Alexandre Boucaud (IAS Orsay), increaselin (Shanghai Astronomical Observatory), Malte Tewes (AIfA-Cosmo), mlam (Cornell) Information on the spectral types of stars is of great interest in view of the exploitation of space-based imaging surveys.

Readin', 'Ritin' And Robots: Machine Learning And Robotics Competition Sparks Young Inventors - GE Reports Henry Wolfson doesn't ride horses, but that didn't stop him from bringing Sleipnir the robot, named after an eight-legged steed from a Norse myth, to St. Louis, Missouri, last month. Wolfson, who is 15 and goes to Lower Merion High School in Ardmore, Pennsylvania, built Sleipnir with his schoolmates to engage other fearsome robots in ...

Two Microsoft researchers elected to National Academy of Sciences for work on machine learning and probability theory Regardless of the analysis of smartphone market share, Office and cloud revenues, quarterly profits, gaming consoles sales, Surface hardware, or search engine relevance, Microsoft remains a large company employing diversified and talented individuals.

Would you have survived the titanic? Try this step by step Machine Learning experiment to find out! In this post I will show you step by step how to create a machine learning experiment with Azure Machine Learning Studio that allows you to predict whether you or your friends would have survived the sinking of the titanic! If you prefer to learn with a video, check out this great video by Jennifer...

BioData Mining Real Time Cell Analysis (RTCA) technology is used to monitor cellular changes continuously over the entire exposure period. Combining with different testing concentrations, the profiles have potential in probing the mode of action (MOA) of the testing substances. In this paper, we present machine learning approaches for MOA assessment.

A far cry from robot domination Reinforcement learning, however, is different in kind from predictive ML. Supervised and unsupervised learning methods are "one-shot" classifiers that attempt to make a single prediction from the data (given a set of features X, the most likely outcome is the value Y). RL, in contrast, is designed to implement higher order cognitive thinking.

Common Misconceptions About Machine Learning in Cybersecurity Machine learning has never been more accessible than it is right now. Amazon utilizes it to uncover shopping habits and Netflix uses it to propose personalized movie selections. Many tech giants, both in the consumer and the business-facing arena, are using machine learning to build intelligent processes that can solve everything from creating more targeted search engine results to bigger challenges like climate change and cancer diagnostics.

How machine learning will transform hospitality | Information Age Print this page Email article The hospitality industry has not always been at the forefront of high-tech innovation or implementation. Until recently, most of the bookings, transactions and administrative tasks at a hotel were handled manually.

New machine learning centre in the UK | Money Management The University of Oxford and an independent alternative investment manager, Man AHL, will expand its centre for machine learning into quantitative finance, which will become part of the university's engineering science department from 1 August, 2016.

Machine Learning News Issue 46

Welcome to the Momenta Learning News on Machine Learning. This is issue 46, please feel free to share this post.

Beyond Siri: The AI revolution coming from the web From HAL in 2001: A Space Odyssey to Samantha in Spike Jonze's Her, for decades we have been obsessed with the idea that artificial intelligence powered-computers will one day be able to interact with people, follow spoken instructions and make decisions independently, like a human would.

How to build a robot's brain - The Daily Reckoning - UK Edition by Sean Keyes Posted 11th May 2016 If you haven't heard about machine learning lately, you haven't been reading the papers... Here's some machine intelligence news from just the last week: a giant hedge fund, the Man Group, ordered an Oxford University department it funds to switch its focus to machine learning...

How smart storage will rescue big data | ZDNet IBM researchers are demoing an intelligent storage system that works something like your brain: It's easier to remember something important, like a beautiful sunset over the Grand Canyon, than the last time you waited for a traffic light. Here's how it works.

The Role of DQM in Machine Learning and Predictive Analysis - Blazent (null)

'Machine learning' a boon for insurers, but can't replace human touch in healthcare The concept of "machine learning" has tremendous potential to help health insurers leverage data and improve care, though one prominent insurance CEO argues that such disruptive technologies will never be able to replace the valuable role of clinicians.

Is Your Machine Learning Algorithm Smarter Than a Dog? | Xconomy Do we need an Asimov's Law for chatbots? And how do they compare with a talking parrot? What can dairy farmers learn from outfitting cows with pedometers? How can algorithms better explain to humans not just what they're predicting, but why?

Enhancing efficiency via machine learning Firms are increasingly using machine learning technology in their efforts to drive automation and innovation Mumbai: Gurgaon-based employability assessment company Aspiring Minds is perhaps best known for giving the industry a very dim view of the quality of engineers in India. According to its 20 January report, "more than 80% of engineers in India continue to be unemployable".

Machine Learning Technologies Introduce a Step Change in Maintenance and Reliability (null)

Schoold Uses Machine Learning to Do Your College Scholarship Hunt | Xconomy Now that high school seniors have made the fateful choice of a college to attend in the fall, their parents are free to pull out tufts of hair as they figure out how to pay for it. Scholarships are life-saving options, but they can be hard to ferret out, says San Francisco-based startup Schoold, which offers a free college-planning mobile app.

Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution

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.

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.

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.

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.

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.

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.

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.

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.

SIBWeb - Machine Learning for Personalized Medicine Symposium-Event (null)

'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.

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.

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...

Machine Learning News Issue 39

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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