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Voice Payments Ready to Take Center Stage

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Digital assistants will be at the heart of a user's daily activities, whether in an increasingly smart home (using home hub devices like the Amazon Echo and Dot, Google Home, Apple HomePod), a connected car, at work or walking down the street.



Artificial Intelligence Software Is Booming. But Why Now?

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"I think I know -- it's in helping people do the things that people are good at, and turning more things over to machines."


Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms 1, Nikhil Buduma, Nicholas Locascio, eBook - Amazon.com

@machinelearnbot

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research that is paving the way for modern machine learning. This book uses exposition and examples to help you understand major concepts in this complicated field. Large companies such as Google, Microsoft, and Facebook have taken notice and are actively growing in-house deep learning teams. For the rest of us, deep learning is still a pretty complex and difficult subject to grasp. Research papers are filled to the brim with jargon, and scattered online tutorials do little to help build a strong intuition for why and how deep learning practitioners approach problems. Our goal is to bridge this gap. This booked is aimed an audience with a basic operating understanding of calculus, matrices, and Python programming. Approaching this material without this background is possible, but likely to be more challenging.


Why 2017 Will Be The Rise of Synthetic Intelligence

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With this more collaborative approach to the evolution of AI, we may finally begin to see the personalization of artificial intelligence, and a great proliferation of new AI programs with idiosyncratic personalities, temperaments, and even intellectual outlooks. Such extraordinary capabilities will be the natural sequel to the new advances in machine learning, natural language processing, and pattern recognition that will finally beget more empathic and intuitive AI programs. And in 2017, we can expect even greater strides in machine learning, as massive upgrades to parallel processing power enable the networks to crunch ever-larger blocks of data. Harry Shrum, Executive Vice President of Microsoft's AI and Research Group, is cheerfully optimistic about AI's outlook in the coming year: "In 2017 we'll see increased acceleration in the democratization of AI for every person and every organization.


[slides] Amazon's Cloud Billowing into #AI and #IoT @ThingsExpo @Xopher5 #AWS #IIoT #DX

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


Birth Of An Industry: Early Investing Hot Spots In Artificial Intelligence

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Though its biggest business is still PC graphics and gaming, Nvidia sells AI processors to internet and tech companies engaged in cloud computing. They include enterprise software providers like Salesforce.com (CRM), internet giant Facebook, tech consultancy Accenture (ACN), Alphabet's (GOOGL) Google, Microsoft and lesser known names like Splunk (SPLK). Steven Milunovich, analyst at UBS, says web-connected devices, generally called the "Internet of Things," will require AI to process real-world data gathered from sensor networks, suggesting a very large market. Salesforce.com is in the early stages of embedding AI tools in existing cloud products to make them more predictive, analysts say.


Machine learning platforms comparison: Amazon, Azure, Google, IBM

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Data scientists who want to build machine learning models and put them into production have no shortage of available tools, but choosing the right one comes with some thorny decisions. Note that many open source tools are available for machine learning, as well as other vendor offerings, but we focused exclusively on vendor cloud platforms that span the entire machine learning lifecycle from data ingestion to model development to production. The market for machine learning platforms is heating up, and all of the leading vendors are looking to nab their share. Several vendors have beefed up their offerings in recent months and now offer simple, cloud-based platforms for getting started with machine learning and developing models that can quickly be put into production.


Amazon strikes again; the dressing room in your house

Daily Mail

Amazon said Tuesday that more than a million pieces of clothing and accessories are eligible and include brands like Calvin Klein, Hugo Boss, Theory and Levi's, labels that are big names at department stores. Amazon said Tuesday that more than a million pieces of clothing and accessories are eligible and include brands like Calvin Klein, Hugo Boss, Theory and Levi's, labels that are big names at department stores Prime Wardrobe works this way: Shoppers pick three or more items and then have a try-on period to find the best styles. The app lets users create a personal lookbook, browse your outfits, and use computer vision-based background blur to make your outfits pop. The app lets users create a personal lookbook, browse your outfits, and use computer vision-based background blur to make your outfits pop.


Amazon considers multi-story hives for its busy drones

USATODAY

Amazon has applied for a patent that gives more insight into the infrastructure it may be planning for its drone delivery program, Amazon Prime Air. The Seattle e-retailer, whose $13.7 billion deal for Whole Foods is shaking up the grocery and delivery business, entered the pilot-testing period for drone deliveries in December after it legally delivered a package using a drone in the United Kingdom. In late December, it was awarded a patent for a flying warehouse where drones could pick up packages. Drone deliveries would only be available in good weather and daylight, and Amazon Prime Air would only be able to deliver packages weighing five pounds or less.