UAE appoints first-ever Minister for Artificial Intelligence

UAE appoints first-ever Minister for Artificial Intelligence

  • This announcement comes just a few days after the UAE announced their UAE 2031 AI strategy, which aims to make the government more efficient and streamlined by relying on AI technologies.
  • The United Arab Emirates (UAE) appears to be leading new trends in government reshuffles, now having introduced its first Minister for Artificial Intelligence.
  • After establishing a post of the Minister of Happiness last year, the Gulf Kingdom has taken another unconventional step.
  • From flying taxis to robocops, Dubai as a tech pioneer – – The introduction of the new hi-tech position was announced by Vice President and Prime Minister Sheikh Mohammed bin Rashid Al Maktoum on Thursday.

This announcement comes just a few days after the UAE announced their UAE 2031 AI strategy, which aims to make the government more efficient and streamlined by relying on AI technologies. The United Arab Emirates (UAE) appears to be leading new trends in government reshuffles, now having introduced its first Minister for Artificial Intelligence.
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AI can now predict whether or not humans will think your photo is awesome

#AI can now predict whether or not humans will think your photo is awesome

  • The Aesthetics tool, still in beta testing, allows users to upload a photo and get an auto-generated list of tags, as well as a percentage rate on the “chance that this image is awesome.”
  • According to developers, the neural network was trained to view an image much in the same way a human photo editor would, looking at factors such as color, sharpness, and subject.
  • As early users report, the system seems to be fairly good at recognizing factors like whether or not the image is sharp and if the composition is interesting, but it is certainly far from a pair of human eyes.
  • While the results of just how “awesome” a photo is may not be accurate for every image, the auto-tagging tool could prove useful, generating a list of keywords from object recognition as well as less concrete terms, like love, happiness, and teamwork.
  • Clicking on a keyword will bring up an Everypixel search for other images with that same tag, or users can copy and paste the list of keywords.

Can a computer judge art? A new neural network program will rank photos by their probability of being awesome.
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Try The Everypixel Tool To See What A Computer Thinks Of Your Best Shot

#AI can now predict whether or not humans will think your photo is awesome

  • The Aesthetics tool, still in beta testing, allows users to upload a photo and get an auto-generated list of tags, as well as a percentage rate on the “chance that this image is awesome.”
  • According to developers, the neural network was trained to view an image much in the same way a human photo editor would, looking at factors such as color, sharpness, and subject.
  • As early users report, the system seems to be fairly good at recognizing factors like whether or not the image is sharp and if the composition is interesting, but it is certainly far from a pair of human eyes.
  • While the results of just how “awesome” a photo is may not be accurate for every image, the auto-tagging tool could prove useful, generating a list of keywords from object recognition as well as less concrete terms, like love, happiness, and teamwork.
  • Clicking on a keyword will bring up an Everypixel search for other images with that same tag, or users can copy and paste the list of keywords.

Can a computer judge art? A new neural network program will rank photos by their probability of being awesome.
Continue reading “Try The Everypixel Tool To See What A Computer Thinks Of Your Best Shot”

2 ex-Googlers are starting Humu, a machine learning company that wants to ‘make work better’

2 ex-Googlers are starting Humu, a #machinelearning company that wants to ‘make work better’

  • Less than a year after departing Google as its head of human resources, Laszlo Bock has become an entrepreneur.
  • Humu, likely named after the Hawaii state fish Humuhumunukunukuapua’a, could be an extension of Bock’s experience from shaping the culture at one of the largest tech companies in the world, and it may also leverage insights shared in his book Work Rules!
  • In a 2015 interview, Bock remarked: “We’ve learned a lot over the years about what makes work more meaningful and productive — we’ve studied this at Google, reviewed the academic research and listened to companies far away from Silicon Valley doing inspiring things on the people front.
  • Many services have tried to make work fun, but Humu wants to take a different approach, leveraging machine learning and science.
  • How that works exactly remains to be seen, but in a LinkedIn post, Bock wrote about how there should be a way to ensure that employees always have good days at work, and not one where people see it as a job: “We should be constantly learning and growing, and surrounded by people who are doing the same.

Less than a year after departing Google as its head of human resources, Laszlo Bock has become an entrepreneur. On Monday, he announced that he’s working on Humu, a startup designed to help us work better. He’s joined by Wayne Crosby, Google’s director of engineering who recently resigned. While details are sparse, the company plans on using science, machine learning, and “a little bit of love” to improve our jobs.
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Try The Everypixel Tool To See What A Computer Thinks Of Your Best Shot

#AI can now predict whether or not humans will think your photo is awesome

  • PicsArt’s new AI shows you similar images

    The Aesthetics tool, still in beta testing, allows users to upload a photo and get an auto-generated list of tags, as well as a percentage rate on the “chance that this image is awesome.”

  • According to developers, the neural network was trained to view an image much in the same way a human photo editor would, looking at factors such as color, sharpness, and subject.
  • As early users report, the system seems to be fairly good at recognizing factors like whether or not the image is sharp and if the composition is interesting, but it is certainly far from a pair of human eyes.
  • While the results of just how “awesome” a photo is may not be accurate for every image, the auto-tagging tool could prove useful, generating a list of keywords from object recognition as well as less concrete terms, like love, happiness, and teamwork.
  • Clicking on a keyword will bring up an Everypixel search for other images with that same tag, or users can copy and paste the list of keywords.

Can a computer judge art? A new neural network program will rank photos by their probability of being awesome.
Continue reading “Try The Everypixel Tool To See What A Computer Thinks Of Your Best Shot”