Jan 29
Neuromorphic computing is an emerging field that aims to redesign computer hardware by taking inspiration from the structure and functioning
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Neuromorphic computing is an emerging field that aims to redesign computer hardware by taking inspiration from the structure and functioning
Find out the applications, innovation landscape and future impact of neuromorphic chipsets on the AI industry
Neuromorphic chips are the only current technology which can conceivably “mimic the mammalian cortex with practical power consumption”...
My article on neuromorphic hardware for #DeepLearning and #AI has been published on singularity weblog. @singularitarian @singularity2814 @transhumanismandyou @transhumanisms #transhumanism #artificialintelligence #futurism
Indiegogo campaign: The BrainCard a Neural Network Chip for DIY projects
The Hell, didn't see that coming: The BrainCard is an affordable opensource neural network chip with 1024 artificial neurons. It's compatible with nearly all DIY/maker electronics platforms (Raspberry Pi, Arduino & Intel Edison) and helps you to add cognitive perception to electronics and sensors:
It is able to learn and recognize patterns within any dataset generated by any source, from the physical (sensors), to the virtual (data).
"Add a brain to: Robots, toys or an old GoPro. Give them the ability to recognize and recall almost anything… You can also add a brain to any digital camerasincluding dash cams. Vision not your thing? The same technology can recognize patterns in data like that packet of code you’re looking for in a sea of C++, a phrase in an eBook (regardless of the books length), even real time data: Build your own biosensors! Make any appliance you like “smart”, like a coffee pot that recognizes you and starts making your coffee the way you like best.
"Simply put; make it think….”
For comparison, what is possible: The Lego-Worm-Bot, based on the neural system of the C. elegans worm, has 302 artificial neurons and the DARPA Neurodrone 576 silicon neurons.
Be sure to watch the video, it's an excellent review of the state of the art. I hope they reach their goal.
[support them on indiegogo - 27 days to go] [via bruces]
DARPA-Funded Researchers Have Tested a Drone That Can Learn
Almost seven years ago, we learned that DARPA was investing millions of dollars in neuromorphic chips. That’s a fancy term for a computer chip that mimics a biological cortex—a brain chip. Today, researchers are getting closer. And of course, they’re putting those brain chips in drones.
Responding to DARPA’s challenge, HRL Laboratories’ Center for Neural and Emergent Systems just tested a tiny…
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DARPA-Funded Researchers Have Tested a Drone That Can Learn
Almost seven years ago, we learned that DARPA was investing millions of dollars in neuromorphic chips. That’s a fancy term for a computer chip that mimics a biological cortex—a brain chip. Today, researchers are getting closer. And of course, they’re putting those brain chips in drones.
Responding to DARPA’s challenge, HRL Laboratories’ Center for Neural and Emergent Systems just tested a tiny…
View On WordPress
Are neuromorphic chips helping us replicate the brain?
There is no computer that works as efficiently as the human brain. The scientists' goals are to build an artificial brain that will work just like the human brain. University of Zurich, Neuroinformatics researchers have made a breakthrough on this goal. They are now understanding how to configure neuromorphic chips that can replicate the brain’s information processing capabilities in real-time. Researchers validate this by creating a synthetic sensory processing system that demonstrates cognitive abilities. Most methods to neuroinformatics are restricted to the progress of neural network replicas on computers that aim to incite complex nerve networks or supercomputers. Only a select few researchers will follow the Zurich researchers’ method to develop electronic circuits that are similar to the brain in terms of size, speed, and energy consumption. A professor at the Institute of Neuroinformatics, Giacomo Indiveri said, ""Our goal is to emulate the properties of biological neurons and synapses directly on microchips."" (via Are neuromorphic chips helping us replicate the brain?)
July 24, 2013
Photograph and layout of a multi-neuron chip comprising an array of analog/digital silicon neurons and synapse circuits, that can reproduce biophysically realistic neural response properties and dynamics in real-time. The chip was produced using a standard 0.35μm CMOS technology and it occupies an area of 10 square mm. It has 128 neuron circuits and 5120 synapse circuits. The neurons are connected to form a winner-take-all network, and the synapses implement realistic temporal dynamics as well as spike-timing dependent plasticity learning mechanisms. (Credit: University of Zurich)
Neuroinformatics researchers from the University of Zurich and ETH Zurich together with colleagues from the EU and U.S. have demonstrated how complex cognitive abilities can be incorporated into electronic systems made with “neuromorphic” chips.
They further show how to assemble and configure these electronic systems to function in a way similar to an actual brain.
No computer works as efficiently as the human brain — so building an artificial brain is the goal of many scientists. Neuroinformatics researchers from the University of Zurich and ETH Zurich say they have now made a breakthrough in this direction by understanding how to configure neuromorphic chips to imitate the brain’s information processing abilities in real time.
They demonstrated this by building an artificial sensory processing system that exhibits cognitive abilities.