Intel Movidius Neural Compute Stick brings AI brains to USB port

Intel lets you stick an #AI brain into your USB port

  • Intel’s $80 Movidius Neural Compute Stick lets you plug some computing brains into your laptop’s USB port.
  • The device, geared for tinkerers and programmers, can crank out 100 billion mathematical calculations per second while consuming a paltry 1 watt of power.
  • That’s the kind of thing that can be handy if you’re trying to work out computer vision in your drone or help your cleaning robot tell the difference between a cat and a coffee table.
  • Intel announced the device at the conference on Computer Vision and Pattern Recognition on Thursday.
  • Artificial intelligence — and more specifically a brain-like approach called neural networks to machine-learning technology — is sweeping the industry as a new way to do everything from recognize speech to identify what ingredients are in your lunch.

The $80 Movidius Neural Compute Stick is tuned for tinkerers and engineers who want to give neural network technology a whirl.
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This is why AI shouldn’t design inspirational posters

And this is why AI shouldn't design inspirational posters...

  • Inspirational posters have their place.
  • An AI dubbed InspiroBot, brought to our attention by IFL Science, puts together some of the most bizarre (and thus delightful) inspirational posters around.
  • The dog’s cute, but this isn’t great advice either.
  • This bot obviously doesn’t know many LARPers, or hang around at Renaissance Faires.
  • The bot’s posters fall in between Commander Data trying to offer advice and a mistranslated book of quaint sayings.

The results are kind of like if Commander Data from Star Trek tried to be your motivational therapist.
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Different Types of Artificial Intelligence and the Names to Watch in 2017

Different types of Artificial Intelligence and the names to watch in 2017
 #AI #NGAHR

  • This ability to have better training and adjustments can let AI write code to improve other AI.
  • Speaking of murky ethical areas, discussion about AI laws will also be a hot topic of 2017.
  • Systems of law will have to figure out who will be responsible for these AI actions, such as the previously discussed autonomous cars and self-learning machines.
  • Hot topics will include lethal autonomous weapons, job losses and how fair those AI algorithms really are.
  • 2017 is going to be a game-changer for AI, and thus a game-changer for the world.

Artificial intelligence is on the rise. Take a look at the chart above and you’ll see that even in a niche corner of the technological world, there is already the makings of a huge industry. Read on to find out some of our predictions for 2017, because this frontier industry will shape our futures and the world as we know it.
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What Should Mixed Reality UI Look Like? [Concept] – ART + marketing

  • [Concept]While virtual and mixed reality experiences are trending right now (we’ve seen a lot of cool examples in movies), I feel that there’s a lack in convergence of practical interaction patterns.
  • We haven’t seen the iPhone of mixed reality yet, so I decided to explore the user experience and interface aesthetics of mixed reality and share my ideas with the community.
  • My goal is to encourage other designers to think and publish ideas on MR interfaces.As technology becomes invisible at all such levels, from a perceptual and cognitive point of view, interaction becomes completely natural and spontaneous.
  • And one of the attributes of good interaction design is allowing Natural User Interfaces: those which are invisible to the user, and remain invisible as we learn them.
  • Some examples of these interfaces are speech recognition, direct manipulation, and gestures.Apps as ObjectsI started by looking into an interaction that felt very natural: browsing records.I found this interaction interesting because of the following:Direct manipulation of the catalogPerception of progress while browsingFull visual of selected itemMinimal footprint of scrolled itemsI was thinking of a way to apply these principles to an interaction for browsing and launching apps in a mixed reality environment.In this case, the app cards are arranged in a stack and placed below the user’s point of view, at a comfortable reach distance.

While virtual and mixed reality experiences are trending right now (we’ve seen a lot of cool examples in movies), I feel that there’s a lack in convergence of practical interaction patterns. We haven…
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Different Types of Artificial Intelligence and the Names to Watch in 2017

#AI Names to Watch in 2017 @brianpetro_ 
Mass #Adoption vs. Sophistication

  • This ability to have better training and adjustments can let AI write code to improve other AI.
  • Speaking of murky ethical areas, discussion about AI laws will also be a hot topic of 2017.
  • Systems of law will have to figure out who will be responsible for these AI actions, such as the previously discussed autonomous cars and self-learning machines.
  • Hot topics will include lethal autonomous weapons, job losses and how fair those AI algorithms really are.
  • 2017 is going to be a game-changer for AI, and thus a game-changer for the world.

Artificial intelligence is on the rise. Take a look at the chart above and you’ll see that even in a niche corner of the technological world, there is already the makings of a huge industry. Read on to find out some of our predictions for 2017, because this frontier industry will shape our futures and the world as we know it.
Continue reading “Different Types of Artificial Intelligence and the Names to Watch in 2017”

Different Types of Artificial Intelligence and the Names to Watch in 2017

Different types of Artificial Intelligence and the names to watch in 2017
 #AI #NGAHR

  • This ability to have better training and adjustments can let AI write code to improve other AI.
  • Speaking of murky ethical areas, discussion about AI laws will also be a hot topic of 2017.
  • Systems of law will have to figure out who will be responsible for these AI actions, such as the previously discussed autonomous cars and self-learning machines.
  • Hot topics will include lethal autonomous weapons, job losses and how fair those AI algorithms really are.
  • 2017 is going to be a game-changer for AI, and thus a game-changer for the world.

Artificial intelligence is on the rise. Take a look at the chart above and you’ll see that even in a niche corner of the technological world, there is already the makings of a huge industry. Read on to find out some of our predictions for 2017, because this frontier industry will shape our futures and the world as we know it.
Continue reading “Different Types of Artificial Intelligence and the Names to Watch in 2017”

Different Types of Artificial Intelligence and the Names to Watch in 2017

Different types of Artificial Intelligence and the names to watch in 2017
 #AI #NGAHR

  • This ability to have better training and adjustments can let AI write code to improve other AI.
  • Speaking of murky ethical areas, discussion about AI laws will also be a hot topic of 2017.
  • Systems of law will have to figure out who will be responsible for these AI actions, such as the previously discussed autonomous cars and self-learning machines.
  • Hot topics will include lethal autonomous weapons, job losses and how fair those AI algorithms really are.
  • 2017 is going to be a game-changer for AI, and thus a game-changer for the world.

Artificial intelligence is on the rise. Take a look at the chart above and you’ll see that even in a niche corner of the technological world, there is already the makings of a huge industry. Read on to find out some of our predictions for 2017, because this frontier industry will shape our futures and the world as we know it.
Continue reading “Different Types of Artificial Intelligence and the Names to Watch in 2017”

GitHub

Producing artworks by artificial neural networks  via @fthrkl #machinelearning

  • Josef is a feedforward neural network based on synapticjs and a distant relative of Istanbul’s famous robot poet Deniz Yilmaz.
  • The network tries to predict next action of the drawing grammar.
  • Works like an Lindenmayer interpreter running by a neural network which is a non-deterministic way to evaluate that kind of self-rewriting systems.
  • The network has 35 inputs consist the last 5 operations of the grammar and 7 output variables that represents a single action character.
  • If you want to improve or restructure it in a different way, please don’t hesitate to send a pull request.

josef – A robot who learns how to draw
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AI learns to write its own code by stealing from other programs

#AI has to resort to copying and pasting from StackOverflow too. #programming

  • Ultimately, the approach could allow non-coders to simply describe an idea for a program and let the system build it, says Marc Brockschmidt, one of DeepCoder’s creators at Microsoft Research in Cambridge, UK.
  • DeepCoder uses a technique called program synthesis: creating new programs by piecing together lines of code taken from existing software – just like a programmer might.
  • “It could allow non-coders to simply describe an idea for a program and let the system build it”

    One advantage of letting an AI loose in this way is that it can search more thoroughly and widely than a human coder, so could piece together source code in a way humans may not have thought of.

  • DeepCoder created working programs in fractions of a second, whereas older systems take minutes to trial many different combinations of lines of code before piecing together something that can do the job.
  • Brockschmidt says that future versions could make it very easy to build routine programs that scrape information from websites, or automatically categorise Facebook photos, for example, without human coders having to lift a finger

    “The potential for automation that this kind of technology offers could really signify an enormous [reduction] in the amount of effort it takes to develop code,” says Solar-Lezama.

Software called DeepCoder has solved simple programming challenges by piecing together bits of borrowed code
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Kristen Stewart Co-Authored Research Paper About Artificial Intelligence

Kristen Stewart co-authored research paper about artificial intelligence

  • Kristen Stewart is quickly becoming one of my favorite people.
  • The Video Captures What the World Looks Like Through Prisma This Video Captures What the World Looks Like Through Prisma This Video Captures What the World Looks Likeâ ¦
  • Stewart is gearing up to debut her directorial debut, a 17-minute short film called Come Swim , which was inspired by a painting Stewart had previously completed.
  • Stewart, along with her filmâ s producer and an engineer, drafted a three-page research paper, called â Bringing Impressionism to Life with Neural Style Transfer in Come Swim .â Itâ s mainly a case study in how to apply style transfer to film, but itâ s still pretty great to see Stewartâ s work applied to AI development.
  • ABC Orders SciFi Pilot That Rips Off a South Park Episode

Kristen Stewart is quickly becoming one of my favorite people. She’s gone from Twilight to indie darling, picking some amazing films that show us she has way more talent than Bella Swan gave her credit for. And now, she’s a scientist.
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