Machine Learning News Issue 56

Welcome to the Momenta Learning News on Machine Learning. This is issue 56, please feel free to share this post.

The barbell effect of machine learning If there's one technology that promises to change the world more than any other over the next several decades, it's (arguably) machine learning. By enabling computers to learn certain things more efficiently than humans, and discover certain things that humans cannot, machine learning promises to bring increasing intelligence to software everywhere and enable computers to develop new capabilities -- from driving cars to diagnosing disease -- that were previously thought to be impossible.

Microsoft Accelerator startup DefinedCrowd connects machine learning with native speakers Part of Microsoft Accelerator's batch 3 of startups, DefinedCrowd is filling a niche in the big data and machine learning community, providing near-real-time feeds of rich language data, checked by actual well-informed humans all over the world.

Why machine learning models require a failover plan Machine learning models are prone to failure, with one major reason being the vulnerabilities they come with. Hackers... have the ability to lock up a model on health predictions in medicine, for example, and make it inaccessible to legitimate users. They can inject codes into the model to cause flawed predictions on fraudulent transactions over e-commerce.

The whys and hows of machine learning for cyber security: does it live up to the hype? | Information Age Print this page Email article Traditional security solutions have relied on rules, signatures and blacklists to prevent security attacks. These solutions are effective at finding the 'known bad' but are increasingly ineffective in helping organisations detect the 'unknown bad,' which include most modern, advanced attacks.

5 Reasons Machine Learning Applications Need a Better Lambda Architecture The Lambda Architecture enables a continuous processing of real-time data. It is a painful process that gets the job done, but at a great cost. Here is a simplified solution called as Lambda-R (ƛ-R) for the Relational Lambda. By Monte Zweben, CEO Splice Machine. Lambda architectures are ubiquitous in machine learning and data science applications.

Creative partnerships: Machine learning and the future of design Patrick Hebron offers an introduction to contemporary machine-learning systems and explores how these emerging capabilities will transform the next generation of computing interfaces.

Five ways Microsoft machine learning pervades Office 365 services Today's enterprise employees are wasting precious time navigating mountains of digital data. Microsoft will soon... offer a technology for users that will change the way they interact with data through Microsoft machine learning. The answer is provided through a digital personal organizer that presents users with content that is relevant to them.

DARPA wants to teach machines how to learn -- GCN "When we look at what's happening with artificial intelligence, we see something that is very, very powerful, very valuable for military applications, but we also see a technology that is still quite fundamentally limited," DARPA Director Arati Prabhakar said at the Atlantic Council on May 2.

How a group of data scientists are saving the whales with machine learning Facial recognition for whales may sound like a terrible elevator pitch, but to the National Oceanic and Atmospheric Administration (NOAA) and the data scientists at Deepsense.io, this was a challenge worth taking on. A group of Polish data scientists and machine learning experts from Deepsense.io have been working on an image recognition engine for the endangered North Atlantic Right Whales.

IBM to Donate Cognitive Analytics/Learning | EE Times IBM promises to donate a key element of its cognitive analytics and machine learning software suite to the open-source community.