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IBM's New Neurosynaptic Processor
IBM’s New Neurosynaptic Processor
C O N T E N T S:
KEY TOPICS
At the Lawrence Livermore National Laboratory, scientists have begun testing IBM’s TrueNorth computer chip–a brain-inspired mega chip IBM deems “the largest neurosynaptic chip” to date.(More…)
IBM has a neurosynaptic processor project, called Brainpower.(More…)
POSSIBLY USEFUL
While traditional computing chips have what’s called Von Neumann architecture, relying on…
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IBM's New Neurosynaptic Processor
IBM’s New Neurosynaptic Processor
C O N T E N T S: KEY TOPICS At the Lawrence Livermore National Laboratory, scientists have begun testing IBM’s TrueNorth computer chip–a brain-inspired mega chip IBM deems “the largest neurosynaptic chip” to date.(More…) IBM has a neurosynaptic processor project, called Brainpower.(More…) POSSIBLY USEFUL While traditional computing chips have what’s called Von Neumann architecture, relying on…
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What is a Neurosynaptic Chip?
What is a Neurosynaptic Chip?
C O N T E N T S:
KEY TOPICS
NeuroSynaptic chips are great at this highly parallel task and their low power consumption means that the application of advanced algorithms at the edge of network is possible.(More…)
Taking into account a leap forward neurosynaptic PC chip called IBMTrueNorth, the adaptable stage will prepare what might as well be called 16 million neurons and 4 billion…
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What is a TrueNorth Chip?
What is a TrueNorth Chip?
C O N T E N T S:
KEY TOPICS
The TrueNorth chip is part of an effort that began at IBM in 2008, with the goal of producing a new form of computing architecture based on the brain‘s neuron and synapse network.(More…)
The 16 TrueNorth chips consume the energy equivalent of only a tablet computer — 2.5 watts of power.(More…)
Bundled into each TrueNorth chip are 5.4 billion transistors comprising a…
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Like these researchers, Modha discusses the TrueNorth mainly in biological terms. Neurons. Axons. Synapses. Spikes. And certainly, the chip mirrors such wetware in some ways. But the analogy has its limits. (...) Modha admits as much. When he started the project in 2008, backed by $53.5M in funding from Darpa, the research arm for the Department of Defense, the aim was to mimic the brain in a more complete way using an entirely different breed of chip material. But at one point, he realized this wasn’t going to happen anytime soon. “Ambitions must be balanced with reality,” he says. (...) “You don’t need to model the fundamental physics and chemistry and biology of the neurons to illicit useful computation,” he says. “We want to get as close to the brain as possible while maintaining flexibility.” This is TrueNorth. It’s not a digital brain. But it is a step toward a digital brain. And with IBM’s boot camp, the project is accelerating.
Cade Metz. 2015. (Title: IBM’s ‘Rodent Brain’ Chip Could Make Our Phones Hyper-Smart)
IBM’s TrueNorth Allows Computers to Mimic the Human Brain
#IBM’s TrueNorth Allows Computers to Mimic the Human Brain
IMG: via IBM
For the second time, IBM has created a processor that thinks and acts like a human brain. Code-named “TrueNorth,” the chip has 5.4 billion transistors and a network of 4096 neurosynaptic cores, out-doing its first-generation counterpart from 2011 by hundreds of thousands of synapses.
“It’s a new landmark of the brain-inspired computers,” says Dharmendra Modha, IBM Research fellow.
“O…
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IBM Dreams Impossible Dream With Clone of Human Brain
By Cade Metz, Wired, August 9, 2013
The thing to realize is that recreating human intelligence is impossible. We can't even grasp how the brain works.
"Clearly, we can't build a brain," says Dharmendra Modha. "We don't have the organic technology, nor do we have the knowledge."
But Modha is trying to build one nonetheless, together with a vast team of researchers inside tech giant IBM and across various academic and government labs. The project began in 2006, when the India-born computer scientist founded the Almaden Institute of Cognitive Computing at an IBM research lab in Silicon Valley, and in the years since, he and his team have worked to recreate biological intelligence with computer hardware and software, first building a machine that mimicked a mouse brain and then a cat's and then a monkey's.
This week, Modha and his team tickled our collective imagination yet again with the news that they've developed a new kind of computer programming language--a language specifically suited to building applications that imitate the brain's ability to grasp the world around us, sift through the ambiguities, and immediately respond. The team envisions a headset for the blind that replaces seeing-eye dogs, and a solar-powered contraption that floats on the sea, looking for mines and checking for oil spills.
These are fascinating propositions--for many reasons--and predictably, the tech press is abuzz over IBM's "breakthrough" in cognitive computing. The only problem is that we won't see any of these applications any time soon. Even the new programming language is still in its infancy.
In the short term, Modha's project won't change anything. It's more ambitious than that. After striving to clone the brain using everyday computer chips and good old fashioned C programming code, the team is now building a new type of chip--as well as a new programming language--that more closely resembles the brain. Or at least the brain as we know it. They're breaking with 70 years of tradition to rethink the way we design computers.
The point is that Modha and his team have not cloned a mouse brain or a cat brain or a monkey brain. They've merely tried to replicate parts of these biological systems--and they've come to the realization that they can only go so far with existing hardware and software.
In the 1940s, a polymath named John von Neumann described a digital computer, laying out a basic architecture that included a central processor for spinning through a list of instructions, a memory system for juggling data on behalf of the processor, and a storage system for housing software that tells the processor what to do. Today's computers still rely on this "von Neumann architecture," but Modha and his team envision something entirely different.
Modha compares the project to the creation of FORTRAN, the seminal program language that taught the world how to build software for von Newmann machines. FORTRAN was also designed at IBM.
But he's quick to say that he can only hope that his cognitive computing work will have the lasting impact of the von Newmann architecture. And he's clear that he and his team haven't even begun to build real-world applications. They're building a foundation for the future--and they aren't that far along.
As Modha and his IBM team rebuild the very substrate of computing, others are taking a different route to artificial intelligence. A group centered around University of Toronto professor Geoffrey Hinton is creating new algorithms that seek to recreate brain behavior using existing computer hardware. Hinton now spends at least part of his time at Google, and his algorithmic research is already reflected in systems used to recognize speech on Android phones.
In other words, it's useful--right now. But IBM's Modha is looking further ahead, and he says that the new computing substrate being built by IBM could be used in tandem with Hinton's work or any other algorithmic system that seeks to clone the behavior of the brain. He's working toward the same goal as the Hinton crew, but he's leaping over the short term benefit. But the goal won't be realized for quite a while. If at all.
Dharmendra Modha, Manager of the Cognitive Computing program at IBM, explaining what they're working on right now.
