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 in King Kong鈥攖hat we should probably expect at this point when people say the new one is full of gourde stanley  good dumb action and not much else. But, stop us if youve not heard this one before! Godzilla x Kong sounds like much t vaso stanley he same. The early reactions for Adam Wingards second crack at the kaiju whip in The New Empire are here, and 8230; mixed isnt the right word, perhaps, but more of a re-establishment of expectations. Theres plenty of praise for the action on display as Godzilla and Kong team up for more giant-sized spectacle, and 8230; well everyone mostly otherwise skims over the bits of the movie that involving things that are smaller than your average skyscraper. Unless theyre Dan Stevens, apparently, who gets a ton of praise.     Its kind of a shame鈥攅specially coming in the wake of the excellent Monarch TV show, which used its length to give us a bunch of interesting characters to care about in between them being chased by monsters鈥攂ut perhaps unsurprising at this point. Weve known from pretty much the moment we saw footage The New Empire would be following in the footsteps of its predecessors, and not a western companion piece to the likes of Godzilla Minus One. Now we can just be blessed to exist in a world where two Godzilla-focused movies are out in the ether at the same time offering very different takes on the King of All Monsters  or, well, would be if you co stanley deutschland uld actually still watch the Oscar-winning Minus One anywhere right now. Womp womp! . Check out a few more reac Hltl New Google Play Store Rules Aim to Weed Out Spammy Apps
 As it stands, engineers have basically two options when it comes to developing grasping robots: task-specific learning and generalized grasping algorithms. As the name implies, task-specific learning is connected to a particular job  e.g. pick up this bolt a stanley water bottle nd screw it into that part  and isnt typically generalizable to other tasks. General  stanley mugs grasping, on the other hand, allows robots to handle objects of varying shapes and sizes, but at the cost of being unable to perform more complicated and nuanced tasks.     Todays robotic grasping systems are thus either too specif stanley thermos mug ic or too basic. If were ever going to develop robots that can clean out a garage or sort through a cluttered kitchen, were going to need machines that can teach themselves about the world and all the stuff thats in it. But in order for robots to acquire these skills, they have to think more like humans. A new system developed by researchers at MITs Computer Science and Artificial Intelligence Laboratory  CSAIL  takes us one step closer to that goal.  Its called Dense Object Nets, or DON. This neural network generates an internal impression, or visual roadmap, of an object following a brief visual inspection  typically around 20 minutes . This allows the robot to acquire a sense of an objects shape. Armed with this visual roadmap, the robot can then go about the task of picking up ther object鈥攄espite never having seen it before. The researchers, led by Peter Florence, will present this research next month at the