The National Hurricane Center accurately predicted the path of Hurricane Irma, which struck southwest Florida on Sept. 8. But in general, the European model, which is run by the European Center for Medium-range Weather Forecasting (ECMWF), performed far better than the premiere U.S. model, known as the Global Forecast System (GFS). SEE ALSO: Before and after photos show Hurricane Irma's devastation in the Caribbean Hurricane Irma is one more in a long line of storms to shine a spotlight on problems with the GFS, particularly at intermediate to longer timescales. The European model had an average error of just 175 kilometers at that timescale, whereas the average 120-hour error of the GFS model at 120 hours was about 475 kilometers.
Researchers at the University of Canterbury in New Zealand recently published a study that shows being rejected by a robot can make people feel down, or, in the case of one study participant, angry enough to tell the robot to "get f*cked." The researchers had 147 volunteers come in and play Connect 4 with "Baxter," a "6-foot humanoid robot with a collection of integrated sensors and displays for safe interaction with humans." When the Baxters of the world aren't playing Connect 4, they can be found helping humans in factories handle repetitive tasks, and they come equipped with cameras so they don't stumble into their flesh-and-blood partners. But, as the researchers write, robots are starting "to take on more important social roles."
Perhaps surprisingly, one of the more tangible implementations for the blockchain has been advanced by the State of Delaware, which in 2016 launched the Delaware Blockchain Initiative to explore how the blockchain might qualitatively improve its suite of corporate services offerings. Together they have pioneered several services on the blockchain, including issuing and trading corporate securities and the automating various aspects of Uniform Commercial Code filing and monitoring. John Carney, Jr. signed a bill into law making it legal for companies to use the blockchain to issue securities and maintain corporate records. Ultimately the transformation of corporate services by the State of Delaware to one powered by the blockhain has the potential to be a watershed moment in the history of corporate formation, practice, management, and governance in the United States.
But the show also took the opportunity to needle another group: viewers with smart home speakers. In the episode, Cartman issued various typical -- and slightly less typical -- commands to his on-screen Amazon Echo and Google Homer speakers and, in what was more than likely an intentional move, viewers' speakers followed suit. Voice home assistants like the Google Home and Amazon Echo have occasionally had problems with accidentally taking commands from TV broadcasts. An Adobe survey found that Amazon's Echos and Google Home saw the biggest spikes in sales during the 2016 holiday season and that smart home device integration should see further increases in 2017.
It features two of our picks, the Harmony Elite universal remote and the Google Home. The Anker PowerCore 26800 PD Battery pack and charger bundle is our battery pack pick for USB-C laptops in our guide to the best USB-C battery pack and power banks. Mark Smirnotis wrote, "If you want to charge a USB-C–powered laptop away from a power outlet, the Anker PowerCore 26800 PD Battery Pack and Charger Bundle is the best way to do that. The Apple iPhone 7 Leather Case is our pick for the best leather case in our guide to the best cases for iPhone 7 and iPhone 7 Plus.
One new development to come to light this month has done so through the help of a group of UCLA researchers as they've developed a mobile device to measure the air quality that's cost-effective and could potentially save the lives of millions across the world. The way in which this new device works by detecting pollutants and figuring out their exact size and concentration using a smartphone with a mobile microscope attached to it. There's also a machine learning algorithm that analyzes the images of the pollutants automatically. Connecting to a smartphone the device uses a machine learning algorithm to size and analyze the concentration of the particle from the image.
That's why I've listed the most popular ways young companies can source data for their AI businesses. If you're an AI startup developing a mobile image or face recognition tool, you have a vast array of data sets to train your algorithms. To capitalize on the booming AI innovation and research, many companies begin to sell their commercial data sets. Commercial data sets providers collect, clean and update their data sets using state-of-the-art search algorithms.
Not only does the hearScope take high quality images of the ear canal and eardrum, but it comes equipped with artificial intelligence (AI) that can aid in the diagnosis of suspected ear pathology. Part of the reason behind the crowd-funding campaign is to help the company's AI feature become "market ready". The company's published research has found that its image-analysis software and artificial intelligence systems are capable of diagnosing ear disease with greater than 80% accuracy, comparable to a family doctor. Retail pricing for the hearScope is expected to be approximately $230 (USD), with a discounted rate of $195 available for backers of its fundraising campaign.
The reports contrasts machine learning using classical and quantum resources, identifying... view more Language acquisition in young children is apparently connected with their ability to detect patterns. In a recent study, published in Nature, an international team of researchers integrated by Jacob Biamonte from Skoltech/IQC, Peter Wittek from ICFO, Nicola Pancotti from MPQ, Patrick Rebentrost from MIT, Nathan Wiebe from Microsoft Research, and Seth Lloyd from MIT have reviewed the actual status of classical machine learning and quantum machine learning. In their study, they have considered different possible combinations: the conventional method of using classical machine learning to analyse classical data, using quantum machine learning to analyse both classical and quantum data, and finally, using classical machine learning to analyse quantum data. Firstly, they set out to give an in-depth view of the status of current supervised and unsupervised learning protocols in classical machine learning by stating all applied methods.