Their business is like web design platforms Wix or Weebly, but for chatbots. It's a paint-by-numbers for bot creation that's so easy, I could do it. I programmed the Katie Roof bot to respond with "raise the roof" as my greeting. Believing that bots are more than just a gimmick, Parr says "this actually saves you time. This actually makes you money." It's a "very clearly a win for every business that uses it."

Bruce Ratner, The Significant StatisticianTM, is President and Founder of DM STAT-1 Consulting, the ensample for Statistical Modeling, Analysis and Data Mining, and Machine-learning Data Mining in the DM Space. DM STAT-1 specializes in all standard statistical techniques, and methods using machine-learning/statistics algorithms, such as its patented GenIQ Model, to achieve its clients' goals – across industries including Direct and Database Marketing, Banking, Insurance, Finance, Retail, Telecommunications, Healthcare, Pharmaceutical, Publication & Circulation, Mass & Direct Advertising, Catalog Marketing, e-Commerce, Web-mining, B2B, Human Capital Management, Risk Management, and Nonprofit Fundraising. Bruce holds a doctorate in mathematics and statistics, with a concentration in multivariate statistics and response model simulation. His research interests include developing hybrid-modeling techniques, which combine traditional statistics and machine learning methods. He holds a patent for a unique application in solving the two-group classification problem with genetic programming.

All the core content from the text rewritten in bulletized form for cut-to-the-chase mastery of the subject. Includes all objective testable terms, concepts, persons, places and events in browser based e-book format. Not just the facts, but interactive problem solving labs to ensure you master the concepts as well. Lab tools allow for thread-like collaboration among classmates and friends. Includes pre-made flashcards, and practice tests in true or false, multiple choice, mastery, or completion formats.

We've already started to see effective use of emerging technologies, such as Industrial IoT (IIoT)-enabled remote condition monitoring and Big Data analytics for predictive maintenance and similar offline applications; but process engineers are interested in knowing if and how emerging technologies can be used to improve the actual production process and product quality. In a recent pilot program, Mitsui Chemicals, Inc. and NTT Communications Corporation (NTT Com), the industrial control technology (ICT) solutions and international communications business within NTT Group, have successfully created a Deep Learning technique that accurately predicts the quality of gas products during production; 20 minutes before the final product is created. As we learned in a recent press release from NTT Com, the technique is based on modeling the relationship between the different data sets sourced from raw materials feeding into the reactor; reactor conditions; and the trace gas impurities that represent gas product quality, expressed here as "X-gas." The goal of this joint project between NTT Com and Mitsui Chemicals is to improve the accuracy of detecting abnormalities in product quality to improve operational efficiencies and product quality. The two companies initiated the pilot project at one of Mitsui Chemicals' gas production plants in 2015.

I had a background in financial sales and portfolio strategy, but Fintech was on the rise, the RoboAdvisor was gaining momentum, and Bogleheads were taking over. They were consolidating to the point of monopoly and had determined that fee income and cross-sell ratio were more important than service and fiduciary responsibility to client wealth. "Too big to fail" became the justification for mass abuse in the financial system. We only have to look to Wells Fargo's recent crisis to see the results. The problem is systemic, encouraged, and will get worse before it gets better.

A rover headed for the red planet will perform an unprecedented search for rocky remnants of dead Martians--so where should we send it? Fossil stromatolites, like this one from Bolivia, offer clues to the kinds of preserved life we may find on Mars. Nearly four billion years ago, when Earth was coming alive, Mars was gradually choking to death. The thick atmosphere that had warmed the red planet was leaking into space, and plummeting temperatures caused Martian lakes and rivers to freeze, turning the wet surface into a dry wasteland. But it's possible life took root in those early years.

While many advances have been made, it still has been difficult for non-programmers to create objects made of many materials (or mixtures of materials) without a more user-friendly interface. But this week, a team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) will present "Foundry," a system for custom-designing a variety of 3-D printed objects with multiple materials. "In traditional manufacturing, objects made of different materials are manufactured via separate processes and then assembled with an adhesive or another binding process," says PhD student Kiril Vidim?e, who is first author on the paper. "Even existing multi-material 3-D printers have a similar workflow: parts are designed in traditional CAD [computer-aided-design] systems one at a time and then the print software allows the user to assign a single material to each part." In contrast, Foundry allows users to vary the material properties at a very fine resolution that hasn't been possible before.

Researchers from Reconfigurable Robotics Lab at École polytechnique fédérale de Lausanne have created a soft and flexible robot. Made of elastomers--synthetic polymers with elastic properties--like silicon and rubber, the soft robots are powered by muscle-like actuators. Since the soft robots are cheap to produce and can be manufactured on a large scale, they can be applied on many levels. In Nature's journal Scientific Reports, the scientists reveal potential applications of the soft robots, which range from biomimetic systems and home care to handling fragile objects and patient rehabilitation. "Our robot designs focus largely on safety," said Jamie Paik, the director of the RRL, in a statement.

The Founder and Executive Chairman of the World Economic Forum published a book in January called "The 4th Industrial Revolution." In his book, Klaus Schwab proposes that we are at the beginning of a fundamental shift in human/technological interaction. Advances in robotics will redefine the workforce. Advances in information technology will deliver meaningful artificial intelligence. And advances in biotechnology will redefine what it means to be human.

Machine learning is kind of magic right? But is it the kind of magic that can make us rich? And I don't mean lucrative consulting gig rich, I mean digging valuable metals out of the ground rich. Also I'd been meaning to try out some transfer learning and looking around for a good topic to try it on. Transfer learning is where you take a pre-trained convolution (or other) network and use it for your task.