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What kind of watch do you wear?
Especially today, when wearing a wristwatch is practically obviated by the near-ubiquitous use of cellphones, the timepiece found on one's arm makes a statement about how people perceive themselves.
A sport watch from Nike or Garmin would seem to indicate enthusiasm for athletic pursuit. Inexpensive fashion statements from Nixon or Nooka could signify a love of high design. Splashing out on a true luxury timepiece from Rolex, Bell & Ross or Breitling serves as a sort of human plumage display to connote, "I have thousands of dollars - at least - of disposable income."

Watch Stanford's self-driving Audi hit the track

Sending a self-driving race car around a track with nobody inside seems pointless – there's no driver to enjoy the ride, and the car certainly isn't getting a thrill out of it. But the students performing research with Stanford University's Audi TTS test rig "Shelley" (not to be confused with Audi's own self-driving race cars) are getting a kick out of the numbers generated by the machine. "A race car driver can use all of a car's functionality to drive fast," says Stanford Professor Chris Gerdes. "We want to access that same functionality to make driving safer." The teams push the car to speeds over 120mph and the computers have executed lap times nearly as fast as professional drivers. However, they also spend a lot of time maneuvering at 50 to 75 mph, the speeds where accidents are most likely to happen. That way, the students can figure out how to incorporate braking, throttle and maneuvering to develop new types of automatic collision avoidance algorithms. Better technology, for instance, could have saved Google from a recent slow-speed accident where its vehicle was struck by a bus. During race days, students break into teams to perform different types of research. "Once you get to the track, things can go differently than you expect. So it's an excellent lesson of advanced planning," says Gerdes. In the latest rounds of testing, for instance, one PhD student developed emergency lane-change algorithms, while another recorded a skilled human driver in an attempt to convert his behavior into a driving algorithm. The main goal, of course, is to prepare students for something they may not have expected -- an automotive industry that is adopting self-driving technology at breakneck speeds. This article by Steve Dent originally ran on Engadget, the definitive guide to this connected life. Green Audi Technology Coupe Autonomous Vehicles Racing Vehicles Performance Videos racecar research

Here’s how 20 popular EVs fared in cold-weather testing in Norway

Electric vehicles are known to suffer diminished performance in cold weather, but some do a better job than others hanging onto their range capacity while cabin heaters and frigid outdoor temperatures sap power from their batteries. Recently, the Norwegian Automobile Federation put the 20 of the best-selling battery-electric vehicles in the country to the test, to see not only how winter weather affected their range but also their charging times. The major findings: On average, electric vehicles lost 18.5% of their official driving range as determined by the European WLTP cycle. Electric vehicles also charge more slowly in cold temperatures. And interestingly, the researchers learned that EVs don’t simply shut down when they lose power but instead deliver a series of warnings to the driver, with driving comfort and speed levels maintained until the very last few miles. Because itÂ’s Norway, the worldÂ’s top market for electric and plug-in hybrid vehicles by market share, the test included many EVs that arenÂ’t available here in the U.S. But there are many familiar faces, among them the Nissan Leaf, Tesla Models S, 3 and X, Hyundai Kona (known here as the Kona Electric) and Ioniq, and Audi E-Tron. In terms of range, the top-performing EV was the Hyundai Kona, which lost only 9% of its official range, which the WTLP rated at 449 kilometers, or 279 miles, compared to its EPA-rated range of 258 miles on a full charge. It delivered 405 km, just enough to nudge it ahead of the Tesla Model 3, which returned 404 km. Other top performers included the Audi E-Tron, in both its 50 Quattro (13% lower range) and higher-powered 55 Quattro (14% lower) guises; the Hyundai Ioniq (10% lower); and Volkswagen e-Golf (11% lower). At 610 km (379 miles) the Tesla Model S has the longest WLTP range of all models tested and went the furthest, but still lost 23% of its range, though it also encountered energy-sapping heavy snow at the end of its test, when many cars had dropped out. The Model 3 lost 28% of its range. The worst performer? That goes to the Opel Ampera-e, better known stateside as the Chevrolet Bolt. It traveled 297 km (about 184 miles) in the test, which was nearly 30% lower than its stated WLTP range. We should also note that Opel, now owned by Groupe PSA, is phasing the car out in Europe and that Chevy recently upgraded the Bolt here in the U.S.