groom a dog is n’t a complicated physical process , it just postulate repetition and positive feedback . But it ’s a time - consuming outgrowth that can sometimes bilk pet owners . There are no shortcuts , butresearchers from Colorado State Universityhave created an AI - powered twist that can recognize when a detent obeys a bid and rewards it with a treat .
There are good reason to be interested about the rapid evolution and improvements made to artificial intelligences created through machine acquisition processes , like the Second Coming of Christ of deepfakes that are gettingharder and harder to spotas being fake . But the technology is n’t all end of the world and sombreness . It ’s also being used to automatize clock time - consuming processes like programming video secret plan characters tobehave more like real people , makingrobots better at navigating a house , and evenupgrading the quality of old footageso it seem salient on 4 K goggle box .
https://gizmodo.com/lunar-rover-footage-upscaled-with-ai-is-as-close-as-you-1844321664
Image:Colorado State University
Anyone who ’s recently gone through the procedure of training a new puppy ( give unnumbered slider along the way ) have a go at it that perseverance is key , but keeping up a procedure and a regular reward system is n’t sluttish when you ’re constantly distracted by surprises left on the carpeting . Automatic treat dispenser already exist , but at most , the only criteria they need for a reward is for a hot dog to press a button with their neb or paw . So Jason Stock and Tom Cavey , two computer science graduate scholarly person at Colorado State University , formulate a smarter treat dispenser built around Nvidia ’s Jetson Nano AI political program .
With a plastic tube full of treats that are let go when a servo move a plastic card out of the direction , the dispenser itself does n’t take care specially remarkable or even that voguish . But in arecently published paper , the researchers excuse how they used a dataset of over 20,000 dog images featuring 120 different breeds from Stanford University to train an AI that powers the dispenser . After fastidiously hand - labeling the image set up into four observed behaviors — sitting , standing , lying down , and vague ( images that do n’t distinctly show any desired actions)—the trope were further action for a logical size and even flip horizontally to change the orientation of the dogs and artificially increase the size of it of the image database
The images were then used to train an AI model using a pair of $ 4,000 Nvidia RTX 6000 GPUs , each with 24 GB of RAM , that were able to crunch all of the data overnight . When uploaded to the dispenser that can process live images from a built - in tv camera at 40 frames per second ( which was tested on an Australian Shepherd name Henry ) the manikin and the machine were able to correctly identify a requested behavior from a dog about 92 % of the prison term , repay it consequently .
In its current form , the AI - power dispenser ’s Jehovah see it more as a trainer ’s tending than a standalone tool for automating dog training . It does n’t issue any verbal control , it just assesses a frump ’s response and decides if the correct action was perform after a flight simulator ’s command . But there ’s a hatful of potential drop to turn this research into a consumer - quick merchandise that can serve a dog learn basic commands , or remotely reenforce training throughout the day while an proprietor is forth at work .
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