Machine Learning News Issue 30

Welcome to the Momenta Learning News on Machine Learning. This is issue 30, please feel free to share this post.

Machine Learning and Unstructured Data: The New Peanut Butter on Toast | Adobe Businesses typically operate on structured data. However, in the Internet era, most data that is available to businesses is unstructured, commonly stored as text from various sources - webpages, user forums, or audio and video, for example. Most organizations have mounds of this unstructured data, and they often struggle to make sense of it or to generate useful, actionable insights from it.

What you missed in Big Data: Analytics-as-a-service gaining steam The ease with which an infrastructure-as-a-service deployment can be scaled makes the public cloud a prime candidate for hosting analytic applications that have to process massive amounts of information. Google Inc.

Silicon Valley Looks to Artificial Intelligence for the Next Big Thing SAN FRANCISCO - As the oracles of Silicon Valley debate whether the latest tech boom is sliding toward bust, there is already talk about what will drive the industry's next growth spurt. The way we use computing is changing, toward a boom (and, if history is any guide, a bubble) in collecting oceans of data in so-called cloud computing centers, then analyzing the information to build new businesses.

DARPA thinks spectrum allocation challenges can be addressed through machine learning Last week the Defense Advanced Research Projects Agency announced its latest "grand challenge," which asks teams to develop smart systems that leverage machine learning to optimize available wireless spectrum. With a finite amount of spectrum and a growing number of connected devices, the public and private sector are experiencing a crunch to utilize under-used spectrum and share the available spectrum.

Can Machine Learning Help Lift China's Smog? As China's air quality sinks, IBM's research group is using AI techniques to predict pollution levels for every square kilometer 10 days in advance. Download PDF Download PDF This article is part of the May / June 2016 Business Report, AI Takes Off.

How Microsoft's other machine learning tricks could make its bots even smarter As someone on Twitter said, if "bots" was on your Build 2016 drinking game card, you'd be long dead. But while Microsoft is all about getting developers to create intelligent app companions to make our lives easier, is there any impressive machine learning the Redmond firm is ready to show off right now?

Deep machine learning drives Loop AI quest Bart Peintner has been closely involved with important developments in artificial intelligence through its recent resurgence. At SRI, one of the world's hotbeds of AI research, he pursued work that pressed the limits of natural language processing and user-behavior modeling.

Machine Learning In Security: Good & Bad News About Signatures First in a series of two articles about the history of signature-based detections, and how the methodology has evolved to identify different types of cybersecurity threats. Used in the context of an outdated and manually intensive technology focused on older classes of threats, there's little wonder why vendors would seek to distance the legacy term "signature" from their advanced detection technology.

How emotion tracking and machine-learning makes the Post Office less stressful Pete Markey, outgoing CMO at the Post Office, who is moving to Aviva as UK director of brand comms and marketing, discusses how marketers use science and art. Find out who else is in our Power 100 Anyone interested in the future of design should have a look at the new Batmobile.

Machine Learning and Retail Execution - AFS In today's webinar Andres Jejen, Product Management Director at AFS will be presenting. With all the data available these days, the decision making process at all levels has become a cumbersome task.