You've just had a terrible car crash. How quickly the emergency services arrive could determine whether you - or the people you're with - live or die. If you're in a built-up area with lots of witnesses, people are likely to call for help straight away. It's a scenario none of us would willingly contemplate, but technology developed in South Africa aims to address it, reporting an emergency situation without even requiring a button to be clicked. CrashDetech's app automatically monitors your trips using its "smart drive-detection" functionality.
Garmin has made plenty of smartwatches in recent years, and today the company is introducing its first with LTE. It's an update to the existing, awkwardly-named Garmin Vivoactive 3 Music that can connect to Verizon's LTE network for a variety of features including text messaging, some safety-focused features and, naturally, music. Although judging by Garmin's press release, the music streaming capabilities sound rather unintuitive. As with the non-LTE version of the Vivoactive 3 Music, the new model works with Spotify and Deezer. But rather than let users access their library and playlists to stream whatever they want from the watch, Garmin only says users can "download their favorite songs or playlists."
Uber's self-driving cars were 400 times worse than Waymo before the fatal Arizona crash, according to a leaked internal report. The firm's cars were unable to reach 13 miles (21km) without human intervention, while cars made by the Google subsidiary Waymo could drive 5,600 miles (9,000km). According to a 100-page company document, Uber was also struggling to meet various other safety goals in the weeks before the crash. For instance, the cars were having trouble driving through construction zones and next to tall vehicles. The CEO of Google's Waymo has since said that the recent death of a pedestrian in an accident involving an autonomous Uber car would not have occurred with his company's technology.
Number two, prevent traffic accidents and other transportation mishaps. Car companies and the military use machine learning to make driving safer -- to detect when a vehicle's driver is not alert due to distraction, fatigue, or intoxication, and to predict when vehicle parts will fail in order to proactively plan maintenance. And there's no stopping autonomous vehicles, a development largely driven by the promise of improved safety records, in comparison to the recent, century-long experiment during which we allowed humans to drive them. Self-driving cars run on machine learning, which identifies objects in the vicinity, predicts their movements, and optimizes navigation. Train companies are also on the right track.
When Tesla revealed that Autopilot was engaged during the March 23rd fatal Model X crash, it only said that the vehicle's "logs show[ed] that no action was taken" even though the driver had time to react. Now, the automaker has issued another statement much stronger than that, saying that the only way the accident could have happened was if the driver (identified as Apple engineer Walter Huang) wasn't paying attention. "We are very sorry for the family's loss," the statement sent to ABC 7 News reporter Dan Noyes started. "According to the family, Mr. Huang was well aware that Autopilot was not perfect and, specifically, he told them it was not reliable in that exact location, yet he nonetheless engaged Autopilot at that location. The crash happened on a clear day with several hundred feet of visibility ahead, which means that the only way for this accident to have occurred is if Mr. Huang was not paying attention to the road, despite the car providing multiple warnings to do so."