Loyal readers will recall that last spring we conspired with artificial intelligence expert Randal Olson to develop the ultimate U.S. road trip. The map Olson came up with -- he did all the work, really -- optimized the best way to drive by car to 50 major U.S. landmarks, using machine learning algorithms and Google Maps. We're happy to report that Olson is back at it, just in time for summer road tripping. By leveraging the power of genetic algorithms and other artificial intelligence technology, Olsen's optimized loop route will get you across the country and back in a little over eight days -- starting in Concord, N.H., and dropping you back in Boston, Mass. How did Olson generate his road trip map?

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. Below is our fourth edition. Top 20 Big Data Experts to Follow (Includes Scoring Algorithm) Text Classification & Sentiment Analysis tutorial / blog Learn Everything about Sentiment Analysis using R 1.5 TB dataset of anonymized user interactions released by Yahoo Fuzzy Matching Algorithms To Help Data Scientists Match Similar Data

Data mining (sometimes called knowledge discovery) is the process of analyzing and summarizing data into useful information which can be used to understand common features, the origin of data and to extract hidden predictive information. Data mining is used in science, engineering,modeling and analysis of financial markets. In this article we will discuss a free data-analysis framework called DMelt (The DataMelt project, http://jwork.org/dmelt/) It is a great program for scientists, engineers and students who need numerical and statistical computations, data and function visualization and even symbolic computation. DMelt is a 100% Java package, which means it is fully object-oriented and runs on any Java Virtual Machine regardless of computer architecture.

The stunning maps made from three million satellite images... The'golden cigar' UFO: Strange object flashes red and blue... The future of flying: NASA tests radical new embedded jet... Would YOU grow cannabis in your kitchen? The stunning maps made from three million satellite images... The'golden cigar' UFO: Strange object flashes red and blue...

Now that we have the data ready for analysis, we first create a histograms of average restaurant rating group by restaurant grades. This is the first image presented above. For a second visualization, I created another histogram plot of average restaurant ratings grouped by number of comments which included a foodborne illness flag.

The online giant has revealed its advanced concept for a store utilizing "Just Walk Out" technology. SAN FRANCISCO -- The Amazon Go grocery store, now in the testing stage in Seattle, sounds like a dream come true for holiday shoppers waiting in long lines. The underlying technology seems to be routed in terra firma, however, a mix of cameras, microphones and the massive servers that Amazon uses to run its cloud computing service and power digital assistant Alexa. The concept promises to let shoppers walk into a store, pick things up, and walk out, thereby skipping the checkout line while everything acquired gets automatically charged to a credit card. Amazon's explanation on how it works in its video is heavy on buzzwords: computer vision, deep learning algorithms and sensor fusion.

The way we work is undergoing a major shift. We expect the same kind of intuitive, tactile experience with our workplace technology that we now take for granted with our smartphones, tablets and gaming systems. Perhaps the most dramatic change comes from the potential for cognitive support to combine intelligence and sentiment for a true sense-and-respond experience. Cognitive systems will change the workplace in ways we haven't yet imagined. The workplace may soon incorporate virtual reality tools and wearable devices, all connected to a cognitive platform.

Elon Musk's nonprofit can help AI systems get smarter -- even if their developers have bad intentions Audi's New AI Rig for Driverless Cars Is … a Toy Car Nvidia's Got the Mo, But Watch Those ASICs, Says BMO Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

During its re:Invent developer event in Las Vegas today, Amazon announced its new Amazon AI platform which will make many the company's machine learning tools available to developers to use in their apps and websites. Andy Jassy, the CEO of Amazon Web Services, explained that the company has a great deal of background in machine learning, saying: "We do a lot of AI in our company. We have thousands of people dedicated to AI in our business." Amazon has decided to release three tools that take advantage of its AI to developers with the launch of its new platform. The first tool is an image recognition service called "Rekognition" which is able to identify objects and scenes in a similar fashion to Google and Microsoft's tools.

Cruz opened up last Wednesday's hearing by the U.S. Senate Subcommittee on Space, Science, and Competitiveness with an abrupt reminder that AI is becoming such a predominant part of our lives that investments in it will increase by 300 percent in the new few years. "Whether we recognize it or not," Cruz said, during the meeting, "artificial intelligence is already seeping into our daily lives." The speech was one in a number of rare addresses concerning artificial intelligence on the Senate floor. During the hearing, Dr. Andrew Moore from Carnegie Mellon University and Dr. Eric Horvitz, Managing Director at Microsoft Research Lab, discussed how a variety of technologies have created an "inflection point" whereby computing speed, automation, and deep learning will combine to drive AI technology further into human lives. Several speakers, including Senator Bill Nelson of Florida, discussed the impact AI would have on the human workforce and, ultimately, the economy.