TensorFlow, MXNet, Caffe, H2O - Which Machine Learning Tool Is Best?


Successful organizations tend to keep several options at hand in part because no single machine learning tool fits every situation, data set or scale. TensorFlowTM is a very popular technology specialized for deep learning that was released under an Apache 2.0 open source license in November 2015 after being developed by Google researchers in the Google Brain Team. This older open source machine learning technology offers a broader foundation for machine learning, not just focused on deep learning, although that is included. A January 2017 TechCrunch article by John Mannes reported that around 20% of Fortune 500 companies use H20.

15 apps to power up your productivity

The Guardian

Boomerang is a plugin for Gmail, Outlook and Android that lets you temporarily dismiss messages from your inbox, to reappear in a few hours or days when you're better able to deal with them. The $8 Premium edition adds the ability to upload your scans directly to cloud services such as Dropbox and Google Drive. The free service supports meetings with up to three participants; paid-for plans, starting at £12 per month, raise this cap to 50 users and add scheduling and recording tools. For £28 a year, a premium subscription adds reminders and lets you collaborate with 25 users, up from five in the free version.

We need to talk about data science skills. Real talk about AI, deep and machine learning - Enterprise Irregulars


To Bardin's point Silicon Valley firms have a halo, and the fact they're held to very different standards by equities analysts means they can spend a lot more on compensation. Google and Facebook are making money with machine learning, not for machine learning. So far the model is kind of similar to open source in that respect – Web companies are making money with open source. Before going back to the skills shortage a couple of conversations with IBM and Google recently are worth noting, with respect to the AI/ML market.

Building A Simple AI Chatbot With Web Speech API And Node.js – Smashing Magazine


Now, our web browsers will become familiar with to Web Speech API, which allows users to integrate voice data in web apps. With the Web Speech API, we can develop rich web applications with natural user interactions and minimal visual interface, using voice commands. By establishing a socket connection between the client and server, our chat messages will be passed back and forth between the browser and our server, as soon as text data is returned by the Web Speech API (the voice message) or by API.AI API (the "AI" message). Once the connection is established and the message is received, use the API.AI APIs to retrieve a reply to the user's message: When API.AI returns the result, use Socket.IO's socket.emit() to send it back to the browser.

4 novel ways to get kids reading and learning


This subscription service includes content from hundreds of publishers, including leading brands like Macmillan, HarperCollins, Sesame Street, National Geographic, Smithsonian Enterprises, and Encyclopedia Britannica, to name a few. Once you start reading, the app can offer personalized recommendations based on interest and level, plus there's a reward system as extra motivation to keep kids reading. Learn to code at a young age with Apple's Swift Playgrounds, a free download for iPad. Apple's free app for iPad that lets kids (or kids at heart) learn and experiment with code.

New system uses Artificial Intelligence to spot fake products: Indian research


Indian-origin researchers have developed a new system that uses Artificial Intelligence algorithms and a smartphone app to instantly distinguish between genuine and fake versions of the same product. The Artificial Intelligence algorithms then analyse the images to determine authenticity and provide results in real-time. "The underlying principle of our system stems from the idea that microscopic characteristics in a genuine product or a class of products – corresponding to the same larger product line–exhibit inherent similarities that can be used to distinguish these products from their corresponding counterfeit versions," Subramanian explained. The Entrupy method, by contrast, provides a non-intrusive solution to easily distinguish authentic versions of the product produced by the original manufacturer and fake versions of the product produced by counterfeiters.

Artificial intelligence identifies plant species for science


Computer algorithms trained on the images of thousands of preserved plants have learned to automatically identify species that have been pressed, dried and mounted on herbarium sheets, researchers report. Researchers trained similar algorithms on more than 260,000 scans of herbarium sheets, encompassing more than 1,000 species. The algorithm could also aid smaller herbaria with their species identifications, Bonnet says. His team found that algorithms trained on large data sets from big herbaria improved the identification of plants from relatively data-poor regions of the world -- a finding that could be particularly useful for areas that are rich in biodiversity but have smaller plant collections.

AI is targeting some of the world's biggest problems: homelessness, terrorism, and extinction


"[These projects] bring up completely new kinds of AI problems because working with low resource communities, data is sparse, as opposed to being plentiful. The USC Center for AI in Society is a collaboration between computer science and social science schools at USC, an ambitious initiative created to cross-pollinate ideas between the two disciplines in order to solve some of the world's biggest problems. Created in 2013, the program focuses on problems found in the 12 Grand Challenges of social work and the United Nations' Sustainable Development Goals. So we're really collaborating across schools in terms of engineering and AI and social work, and it's bringing up completely new sets of challenges to the core in terms of problems that the AI community has tackled," Tambe told VentureBeat in a phone interview.

Voice-Activated Banking Then, Now And Soon


The solution has been secure, but not perfect: In May, an HSBC customer's non-identical twin managed to breach his brother's account by mimicking his twin's voice. The bank behemoth may have been late to the game, but it used that to its advantage, learning from the other banks' mistakes and leap-frogging the simple account balance checks to immediately offering the ability to transfer funds by voice. Gadget reported that 79 percent of bankers believed artificial intelligence (AI) would revolutionize how banks interact with and learn from customers, according to an Accenture poll, and 76 percent believed AI would soon become the primary point of contact between banks and customers. As Gadget noted, voice technology specifically and artificial intelligence generally will give banks a fresh opportunity to customize their banking experience with tailored recommendations and advice, such as suggesting ways to save more if it detects a customer has had a salary increase.