RightEye's EyeQ system uses eye-tracking to uncover brain injury


There's more to your eyesight than just whether or not you can see. Often, your vision can be a window to other health issues, like autism, Parkinson's and even whether you have a concussion. That's the idea behind RightEye's EyeQ system, which aims to revolutionize the optometrist office with eye-tracking tech to not only diagnose issues, but to offer therapeutic measures to correct them as well. At CES 2018, the company released a brand new all-in-one EyeQ terminal that incorporates a PC, a monitor as well as a Tobii eye-tracking camera that promises to do all of that and more. According to CEO and co-founder Adam Gross, EyeQ has already been in use in schools, certain clinics and hospitals, and is also in use by Major League Baseball to test their athletes.

Apple TV 4K and tvOS 11: Features, specs, FAQ, tips, and tricks


Apple TV has grown up a lot since its iTV days. It's not just for iTunes rentals anymore--Apple TV handles just about anything we watch, from House of Cards to Game of Thrones and Major League Baseball games, and now that includes 4K content. Since Apple opened up its tiny streaming box to developers, it's gone from fun to indispensable. With an extensive library of apps, Siri support, and a drop-dead simple interface, Apple TV is one of the underrated players in Apple's lineup. Just like all those years ago, it's still the device that "completes the story" of Apple's entertainment ecosystem, and even without some of the bells and whistles of its competitors, Apple TV is still one of the best streaming boxes you can buy--from SD to HD to brilliant 4K.

Dodgers' Kenley Jansen locks down a new home base in Palos Verdes Estates

Los Angeles Times

Kenley Jansen, closer for the Los Angeles Dodgers, has bought a home in Palos Verdes Estates for $6.5 million. Built in 2005, the Spanish-style home includes three levels of living space, multiple balconies and an attached three-car garage. Coffered-ceilinged living and dining rooms, a center-island kitchen, a wood-paneled den, five bedrooms and 6.5 bathrooms lie within 6,900 square feet of interior space. A dome-topped family room features a wet bar. For the aches and pains of a 162-game season, there are sauna and steam rooms in the dedicated pool bath.

Understanding Behavioral Economics to Change Behaviors with Big Data


My good friend Vinnie participates in an automobile insurance program that rewards him for good driving behaviors; the better driving behaviors he exhibits, the more money he saves on insurance. You stick a device into the vehicle's diagnostic port (usually under the steering wheel in most vehicles manufactured after 1996), and the automobile insurance company tracks your driving behaviors and offers you automobile insurance discounts based upon the quality of your driving behaviors. The program actually "grades" driving behaviors including acceleration, turning, speed and braking, and once a month sends a report card on the past month's driving performance (see Report Card in Figure 1). And for my friend Vinnie, as a result of sharing his detailed driving data, he saved $1.49 over the past 6 months. Vinnie is saving $2.98 per year by sharing his detailed driving data with his auto insurance company.

NFL teams with AWS on statistics package driven by machine learning


The NFL is joining Major League Baseball as an AWS customer, announcing a deal today to provide real-time statistics running on AWS. The tool is part of the NFL's Next Gen Stats program, which will take advantage of AWS machine learning and data analytics tools to enhance its current offering. MLB has had a similar deal in place with its StatCast tool. The NFL uses RFID tags in player equipment and the ball to capture real-time location, speed, and acceleration data. Much like the MLB product, this data can be used to heighten the NFL broadcast experience by showing viewers a unique data-driven view of the play on the field.

Introduction to Machine Learning and Decision Trees - DATAVERSITY


Click to learn more about author Alejandro Correa Bahnsen. Almost everyone has heard the words "Machine Learning", but most people don't fully understand what they mean. Machine Learning isn't a single formula that is simply applied to a problem. There are many algorithms to choose from, each of which can be used to achieve different goals. This is the first in a series of articles that will introduce Machine Learning algorithms to help you understand how they work, and when to use each one.

Better AI


That was some baseball game last night between the Houston Astros and the LA Dodgers at Minute Maid Park in downtown Houston. The Astros go down 4-0 early, then come back and tie the game, and then the score seesaws back and forth all the way through the bottom of the tenth before Houston's Bregman hit a walk-off single to drive in the winning run. No AI-driven computer simulation could likely have foreseen such an insane game with that outcome. Then again, we might out imagine what would might become of us if it could. Which is why the Information Technology Industry Council, whose members include IBM, Amazon, Facebook, and Oracle, have listed five areas to improve the development of artificial intelligence.

Alexa vs. Siri vs. Google Assistant: Which Smart Assistant Wins?


Our overall winner in the category was, perhaps unsurprisingly, Google Assistant. It answered more questions correctly than either Siri or Alexa, as well as generally giving context and often citing a source website for the information. Given that it's backed by Google's powerful search technology, that's to be expected. It fell down only on a couple of questions: It couldn't tell me when the next episode of Arrow aired (though it could interpret that as a TV listing); it gave me departure time for an upcoming flight even though I asked for the arrival time; and in a question about the American League Championship Series, it gave me recent scores, but not the overall standing of the series. However, it was the only one that could tell me how long chicken stays good in the fridge; gave me detailed information about the distance to Jupiter; and correctly identified what most scholars believe to be Shakespeare's first play.

Former Angel Gary Matthews Jr. parts with a home base in Corona del Mar

Los Angeles Times

Gary Matthews Jr., the retired professional baseball player who spent three seasons with the Angels, has sold a home in Corona del Mar for $3.69 million. The shake-sided home, built in 1961 and extensively updated, returned to market earlier this year for $3.995 million. Matthews Jr. bought the property a decade ago for $3.05 million, records show. Surrounded by walls and gates, the single-story house is entered through a front courtyard with a swimming pool, a stone fireplace and a separate spa. The pool and spa each have a waterfall feature.