Sunday, June 19, 2016

Machine Learning News Issue 57

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

New Data Analytics Benchmark Puts Stopwatch to Hadoop-based Systems

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

Artificial intelligence is changing SEO faster than you think

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

What is the promise of big data? Computer will be better than humans | Business Cloud News

Big data as a concept has in fact been around longer than computer technology, which would surprise a number of people. Back in 1944 Wesleyan University Librarian Fremont Rider wrote a paper which estimated American university libraries were doubling in size every sixteen years meaning the Yale Library in 2040 would occupy over 6,000 miles of shelves.

How Machine Learning can be used to Predict Customer Behaviour

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

US EPA

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

Decoding Brainwaves with Azure Machine Learning (Channel 9)

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

Machine Learning, Blockchains And Genetic Engineering - The Three Next Big Things

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

Google DeepMind Researchers Develop AI Kill Switch

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

Russian developer collaborates with Facebook, Google to make 'machines see' - The Economic Times

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

Tesla Offers To Share Autopilot Data With Feds, Other Companies - Gas 2

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

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