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The eyesight of machines is growing stronger

A lot of new developments in machine vision were revealed at this year's Large Scale Visual Recognition Challenge. All of the winning groups chose to share the details of their technical innovations, keeping them proprietary. / #DriveInnovation  

That means we're likely to see commercial applications a bit sooner. So, in the not too distant future expect #ArtificialIntelligence  to play a bigger role in medical diagnosis, factory robotics and automotive safety systems. The author points out that "a number of carmakers have added the ability to recognize pedestrians and bicyclists and stop automatically without driver intervention." / #ReduceRisk   #Automation  

Still, machines have yet to achieve what scientists call “scene understanding," which entails comprehending the whole story of what is happening in an image by using human language. If they ever figure it out, let me know, so that I can strap one of those machines onto my head. Heh.. / #FutureTechnologies  

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Researchers claim many jobs at risk for automation. Here's what they missed.

"the authors (Carl Frey and Michael Osborne at Oxford University) argue, it is plausible over the next two decades that existing and foreseeable AI technologies could be used to cost-effectively automate those jobs out of existence. Machines may not (and probably won't) do the jobs the same way as people, however—just remember the last time you used an automated check-out system at a grocery store. There’s a difference between machines doing something cheaply and doing it well. Frey and Osborne took into account the possibility of such 'task simplification' in their analysis."

"So who, specifically, should be worried? They write:"

 _Our model predicts that most workers in transportation and logistics occupations, together with the bulk of office and administrative support workers, and labour in production occupations, are at risk. These findings are consistent with recent technological developments documented in the literature. More surprisingly, we find that a substantial share of employment in service occupations, where most US job growth has occurred over the past decades (Autor and Dorn, 2013), are highly susceptible to computerisation._

"This may turn out to be correct, though I'd note two reservations I have. First, the model uses (in part) the notoriously unreliable subjective estimates of AI researchers to assign values to whether tasks can be automated or not, and second, it uses lists of job requirements, that the authors acknowledge are not written to assess whether a job can be easily automated. Indeed, job ads don't list things that are universal (or nearly so) across humans, such as rudimentary social intelligence, language understanding, and commonsense. As AI researcher Ernest Davis points out, there has been “only very limited progress” in equipping robots with commonsense reasoning skills."

"... let's keep in mind that technology does not proceed autonomously, detached from any human influence. It is our tax dollars that fund most of the basic research underlying automation technologies, humans are designing these systems, and consumers have at least some say in how well automated service technologies fare in the market. I can imagine, for example, that “made (or served) by humans” could be the “organic” or “fair trade” of the future. If we as a society collectively vote with our wallets for good customer service by real people, the future may just look different from the often gloomy predictions of science fiction. After all, if there's one thing humans will always be better at than machines, it's being human."

#FutureTechnologies #ArtificialIntelligence  

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Computerisation - Nearly Half Of U.S. Jobs Could Be Done By Computers, Study says

"A recent study out of Oxford University found that almost half of U.S. jobs are vulnerable to being taken over by computers as artificial intelligence continues to improve.

The study, based on 702 detailed job listings, found that computers could already replace many workers in transportation and logistics, production labor and administrative support.

But computers, armed with the ability to find patterns in big data sets, are also increasingly qualified to perform 'non-routine cognitive tasks.'

'While computerization has been historically confined to routine tasks involving explicit rule-based activities, algorithms for big data are now rapidly entering domains reliant upon pattern recognition and can readily substitute for labor in a wide range of non-routine cognitive tasks,' write study authors Carl Benedikt Frey and Michael Osborne."

#TodaysChallenges #Logistics #ProfessionalServices #DisruptiveInnovation #ArtificialIntelligence #BigData  
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