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Artificial Intelligence Explodes At Investment, Enterprise Levels

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In the past half-decade, artificial intelligence has gone from the stuff of science fiction to components of major factory floors, cognitive technology expert Neil Jacobstein said at a Singularity University event in Boston Tuesday. Jacobstein chairs the AI & Robotics department at Singularity, the tech-driven benefit corporation that includes the likes of Google, Cisco and Deloitte among its founders. Investment in AI has skyrocketed in recent years, with more than 3 billion in VC funds invested in cognitive technologies from 2011 to 2015. During that time, more than 100 AI companies merged or were acquired, "by the usual suspects: Alphabet, IBM, Facebook, Amazon, [and] Google," said Jacobstein. Beyond the investment world, enterprises have begun seriously implementing AI technology into their manufacturing businesses.


Half the Web's traffic comes from bots, and that's costing you more than you think

PCWorld

Roughly half of all Web traffic comes from bots and crawlers, and that's costing companies a boatload of money. That's one finding from a report released Thursday by DeviceAtlas, which makes software to help companies detect the devices being used by visitors to their websites. Non-human sources accounted for 48 percent of traffic to the sites analyzed for DeviceAtlas's Q1 Mobile Web Intelligence Report, including legitimate search-engine crawlers as well as automated scrapers and bots generated by hackers, click fraudsters and spammers, the company said. DeviceAtlas is owned by Afilias, which calls itself the world's second-largest Internet domain name registry. Bot technologies have long been known to account for a significant amount of traffic, but today they're becoming more malevolent -- and more expensive, said Ronan Cremin, CTO of DotMobi, a mobile content delivery company also owned by Afilias.


Machine Learning With Kafka Streams - DZone Big Data

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The last two posts on Kafka Streams (Kafka Processor API, KStreams DSL) introduced kafka streams and described how to get started using the API. This post will demonstrate a use case that prior to the development of kafka streams, would have required using a separate cluster running another framework. We are going to take live a stream of data from twitter and perform language analysis to identify tweets in English, French and Spanish. The library we are going to do this with is LingPipe. LingPipe is tool kit for processing text using computational linguistics.


Enhancing efficiency via machine learning

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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". Aspiring Minds, however, does much more than just track the employability of engineers in the country. In the words of its co-founder and chief technology officer (CTO) Varun Aggarwal, Aspiring Minds is "interested in the big picture". "We ask questions like, 'How do we identify what jobs people in the job market will be successful at?'; 'How do we make this assessment, or automatically assess programming skills?'; 'Or, for that matter, gauge how well a candidate speaks English?'"


Cybersecurity and the promise of machine learning

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Will Machine Learning come to rescue for cybersecurity? Or is it just more empty promises. This is the third part of a short series on cybersecurity. Watch the video below and let's discuss. This article is published as part of the IDG Contributor Network.


Google just open sourced something called 'Parsey McParseface,' and it could change AI forever

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As much as we love to fawn over artificial intelligence (AI), it's still not great at recognizing and parsing natural language. That's why Google is open sourcing its new language parsing model for English, which it calls'Parsey McParseface.' Before you even ask, the name has no meaning. When Google was trying to figure out what to call its language parsing technology, someone suggested Parsey McParseface; it's a bit like Apple's Liam, which has no clever backstory either. The overall AI model model is called SyntaxNet (please make your SkyNet jokes now); 'ol Parsey is just for English. Our biggest ever edition of TNW Conference is fast approaching!


The RankBrain Impact on Search: Why You Should Care

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I recently wrote about Google's efforts to "show" you how to rank. They held an online Q&A session where Google search quality senior strategist Andrey Lipattsev listed the three most important factors the search engine uses to rank websites and web pages. Content and links tied for number one, and RankBrain, the new artificial intelligence system that helps to sort and deliver a large number of the search engine's results, comes in at number three. The thought crossed my mind that many of you might not be aware of RankBrain and that we should maybe talk about that. At its core, RankBrain is a machine-learning artificial intelligence system that's used to help process Google search results.


Are You Riding One of the Three Software 'Waves'?

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Merriam-Webster dictionary defines a trend as a "current movement in a particular direction," however, VLAB keynote speaker and Venture Capitalist Ann Winblad likes to say "wave" instead. The companies her firm Hummer Winblad Venture Partners (HWVP) invests in are typically riding enterprise software waves. "Waves form far out into the ocean and can go very deep," said Winblad comparing nature's waves to what's happening in the software industry. Big data is a term for data sets that are so large and complex that traditional data processing applications are inadequate to handle them. An example of a company riding this wave is MuleSoft, an HWVP investment. They make it easy to connect applications, data and devices.


Artificial intelligence takes on poachers

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A century ago, more than 60,000 tigers roamed the wild. Today, that number has dwindled to around 3,200. Poaching is one of the main drivers of this steep decline. Humans have pushed tigers to near-extinction, whether for their skins, medicine or for trophy hunting. The same applies to other large animal species like elephants and rhinoceros that play unique and crucial roles in the ecosystems where they live. Human patrols serve as the most direct form of protection of endangered animals, especially in large national parks.


Artificial Intelligence in eCommerce

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