Automatic object recognition in images is currently tricky. Even if a computer has the help of smart algorithms and human assistants, it may not catch everything in a given scene. Google might change that soon, though; it just detailed a new detection systemthat can easily spot lots of objects in a scene, even if they're partly obscured. The key is aneural network that can rapidly refine the criteria it's looking for without requiring a lot of extra computing power. The result is a far deeper scanning system that can both identify more objects and make better guesses -- it can spot tons of items in a living room, including (according to Google's odd example) a flying cat. The technology is still young, but the internet giant sees its recognition breakthrough helping everything fromimage searches through to self-driving cars. Don't be surprised if it gets much easier to look for things online using only vaguest of terms.
Elon Musk’s Starman, the mannequin driver of the Tesla Roadster SpaceX launched aboard its Falcon Heavy rocket, is taking a trip around our solar system, in a large elliptical orbit that will bring him relatively close to Mars, the Sun and other heavenly bodies. But how to track the trip, now that the Roadster’s onboard batteries are out of juice and no longer transmitting live footage? Thanks to the work of Ben Pearson, a SpaceX fan and electrical engineer working in the aerospace industry, who created ‘Where is Roadster,’ a website that makes use of JPL Horizons data to track the progress of the Roadster and Starman through space, and to predict its path and let you know when it’ll come close to meeting up with various planets and the Sun. The website tells you the Roadster’s current position, too, as well as its speed and whether it’s moving towards or away from Earth and Mars at any given moment. It’s not officially affiliated with SpaceX or Tesla, but it is something Elon...
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