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" ... A human, shown a collection of photographs of dogs running around dog parks and house cats running around people’s homes, is able to use their life experiences to understand that in this particular context, the background of the photograph is not relevant to categorizing whether the photo depicts a dog or a cat. A machine learning algorithm, on the other hand, might recognize that the strongest signal differentiating a dog from a cat is whether the photo is a bright outdoor photo or a dim indoor photo. If the machine’s goal is to maximize its accuracy at distinguishing dogs and all of the dog photos are outdoors, then this is indeed the “best” signal for the machine to latch onto. However, in doing so, the machine will necessarily fail when shown images of large outdoor cats like lions. ... "
" ... After all, if we criticize machines for categorizing an article according to a few keywords, why should we reward humans who share that same article by glancing at the first few words of its clickbait headline? ... "
" ... Brands should consider tailoring their websites to highlight in-stock products. They should also think about segmenting the inventory — in an economic downturn, consumers will prioritize consumption by categorizing products into essentials, treats, "postponables" and expendables. Our research shows that 57% of consumers are not shopping for clothing, shoes or accessories during this time, indicating that they are more interested in essential products. Retailers should market offerings accordingly. ... "
" ... If you are facing similar challenges, consider alleviating these pain points with AI-based automation. You can use AI to automatically discover devices. AI is very good at categorizing things. It can discern that a device is a switch or a router, for example, based on what it’s seen in the past. ... "
" ... Upon approval, the item appears in our shared feature request board, where we categorize it according to relevant components. Next, the request either takes on a life of its own or gets integrated into a related existing feature request. This concludes the first steps of gathering and categorizing information. ... "