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.
After several years of research and testing, the U.S. Navy has introduced a new laser gun designed to protect ships without using ammunition. Another entry on our timeline is now a reality as the U.S. Navy has authorised the first operational use of a laser weapon. This new hi-tech system – known as the Laser Weapon System (LaWS) – is designed to serve as a form of defence against drones and other small flying vehicles or small-boat enemies including suicide attackers. It is highly accurate, able to hit objects moving at up to 300 mph (480 km/h). The LaWS fires a solid-state infrared beam with two modes: high output to destroy a target, and low output for optical "dazzling", warning shots or to cripple a potential attacker. Among the advantages of this device versus projectile weapons is the low cost per shot, as each firing of the weapon requires only minimal cost for generating the energetic pulse; by contrast ordnance for projectile weapons must be des...
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