SensoryMetrics

Numenta recently released new demos for download on Mac or PC. Vision4 demonstrates how the Hierarchical Temporal Memory (HTM) technology can be used to recognize photographs of given objects.
After training the HTM network by showing it 3500 photos of 4 different types of objects: rubber duck, cow, sail boat, or a cell phone, the HTM network is able to accurately predict what it’s looking at.  You can even show it a picture of a cow that looks like a rubber duck and it will take an educated guess.  Er, have a look to see what I mean:

The demo will not correctly recognize all images. Sometimes this is because the network has never seen a similar image. For example, the network was trained with pictures from the front and side of a cow, but not from the rear. If you show it a picture of the rear of cow, it may not recognize it as a cow. In other cases, the reason that the network makes a mistake will be less clear.

For sites still using visual captchas to keep out fake robot visitors, time to re-think your strategy! We also can’t wait for TinEye to get their hands on this technology. Who knows what incredible applications they could build with it!

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Software, Web 3.0 AI, artificial-intelligence, Numenta, rubber-duck, tineye

If you think Jabberwacky chat is cool lame – ok for what it is – then you should check out MoxieChat.  It lets your customers think they’re dealing with cute robot girls.  (That are up tirelessly throughout the night waiting to text chat.)

Your customers can ask a question and a robot chat response will come back.  Limited as you can imagine it might be, but functional interaction nevertheless. It might be just enough to keep your customers’ interest.  If anyone out there has tried this service, we’d love to hear your testimonials.

The completely unrelated animated avatar Joan creeps me out and I would be very hesitant to buy something from her.

Update: Cute zombie chat girl upgrade feature soon to be available.

Popularity: 26%

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Long Tail, User Experience, Web Apps AI, artificial-intelligence, robot-chat, robots

Anyone that’s been attacked by identity theft, infected with a nasty computer virus, or hoaxed by a phishing scam will have an idea how real software weapons are, but they’re still 2.0 at best. How prepared are we for the next generations?

Computer voice text to speech has been with us for quite sometime now, but chances are pretty good that computer generated voice will soon be able to match the sound and quality of humans. It all sounds great until you think about how it could be used. Being able to replicate and imitate any voice, anyone calling you over the phone could be pretending to be someone you know; your spouse, your children, your banker and so on.

Currently artificial intelligence / pattern recognition software is becoming capable of telling the difference between a pear and an apple. Imagine the year when the consciousness module is plugged in and turned on (2030~2040?). Lets hope we’ve first enabled the ethical subroutines. Do you believe AI consciousness is even possible?

Further reading: Marius Bancila has a great post: AI and the Rise of Consciousness

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Environment, Pirates, User Experience AI, artificial-intelligence, Cognitive-computing, software-weapons

This video clip of Jeff Hawkins talking about Hierarchical Temporal Memory (HTM) gives a pretty good overview of what HTM is all about and what kind of problems the software is capable of solving.

Belief propagation eh? It’ll probably work great for deciphering those visual captchas Mitch always complains about.

You can download and install the Numenta Platform for Intelligent Computing (NuPIC) from Numenta.com. It currently runs on Mac and Linux only.

You may also be interested in checking out his recent book ‘On Intelligence’..

[tags]Numenta,AI,Hierarchical-Temporal-Memory[/tags]

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Innovation, Web 3.0 AI, Hierarchical-Temporal-Memory, Numenta