The Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) project is driven from funding by the Defense Advanced Research Projects Agency's (DARPA); and entering Phase 2 of the SyNAPSE project (Phases 0 and 1 are complete), IBM has built two state-of-the-art chips unlike anything produced before. These chips defy the traditional von Neumann architecture, which relies on programs or instructions to complete these tasks. IBM will use these chips as the basis for an architecture with no set programming.
A peek inside IBM's brain lab in San Jose, CA:
10 things to know about SyNAPSE
1. The brain uses less energy than a 25 watt light bulb and occupies less volume than a 2-liter bottle of soda -- capable of completing complex tasks, while autonomously computing what it needs to, and when, and knowing what information to save and for how long. The brain is the ultimate computer.
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3. Cognitive computers emulate the brain’s abilities for sensation, perception, action, interaction and cognition, while integrating and analyzing vast amounts of data from many sources at once: in essence the "right brain" to today's "left brain" computers.
4. These systems won’t be programmed like traditional computers are today. Rather, cognitive computers will learn dynamically through experiences, find correlations, create hypotheses and remember – and learn from – the outcomes, emulating the human brain’s synaptic and structural plasticity (or the brain's ability to re-wire itself over time as it learns and responds to experiences and interactions with its environment.)
5. To accomplish this new kind of system, IBM is combining neuroscience, nanoscience and supercomputing together to rival the function, power and space of the brain.
6. Supercomputing: In November 2009, scientists used an IBM Blue Gene supercomputer to achieve significant advances in large-scale cortical simulation of a cat brain, substantiating the feasibility of a cognitive computing chip.
7. Neuroscience: Last year, scientists here at Almaden uncovered and successfully mapped the largest long-distance network of the monkey brain, which is essential for understanding the brain’s behavior, complexity, dynamics and computation. This discovery gives scientists unprecedented insight into how information travels and is stored across the brain.
8. Nanoscience: The revolutionary new chip that we've unveiled is a building block towards the long-term goal of SyNAPSE; to build a chip system with ten billion neurons and hundred trillion synapses, while consuming merely one kilowatt of power and occupying less than two liters of volume.
9. Computers like this could have a significant impact on virtually every sector of the economy. The application and service possibilities will range from preventing fraud and providing better security, to helping scientists better understand intricate climate changes happening to our planet (see callout text).
10. IBM has assembled a world-class team including collaborators from Cornell University, Columbia University, University of California - Merced and University of Wisconsin - Madison, to work with their scientists from IBM Research sites including Austin, TX, Yorktown Heights, NY, India and Zurich.
All hype, no information.
ReplyDeleteYour lede / title is just misleading. Where's the description of how the chip learned to play pong? It jumps straight into describing something else which seems only tangentially related. You're missing the story for the facts. Honestly, this is poor writing; we should acknowledge and fix that.
ReplyDeleteThis seems to be an HD video trapped in an NTSC frame. When viewed on a Mac with Firefox, people's last names and titles are cut off. The IBM logo at the end is also not centered.
ReplyDeleteTechnical Feelings
ReplyDelete"...to build a chip system with ten billion neurons and hundred trillion synapses, while consuming merely one kilowatt of power and occupying less than two liters of volume."
ReplyDeleteAnyone doing ethics on turning off a consciousness, just in case these guys discover that threshold of neurons/synapses/experience during this project?
Yea, sci-fi, I know.
And, to quote Clarke, 'Any sufficiently advanced technology is indistinguishable from magic.' And we still don't understand us.
Maybe these guys won't just win a Turing, maybe they'll...
The most important scientific discovery of the beginning of the millennium.
ReplyDeleteRemember Isaac Asimov's Laws of Robotics ... in about 20 years from now :)
I wish my brain used more power. If it did, I could lose weight by thinking about food. :)
ReplyDeleteand what about giving actual information about that chip instead ?
ReplyDeletesoon there will be 7 billion people on the planet
ReplyDeletejust need a computer not cyborgs
You mean they still let Americans work at IBM?
ReplyDeletethe way this is hyped is rather embarrassing. Nothing wrong with the goal of making better chips and computers, but the last time I checked, we had not yet figured out how the brain works. So how can we emulate it?
ReplyDeleteWon't the silicon to carbon revolution be 'bigger' than this?
ReplyDeleteIn 2009 33,800 persons died on American highways. Question: Is the Electronic Cognitive
ReplyDeleteAutomobile a possibility given the technological, economic and political climate in the U.S.? Interested in your thoughts. Big
thumbs up to IBM.
Was it necessary ti do vivisections on cat and monkey brains in order to develop this chip?
ReplyDelete"The way this is hyped is rather embarrassing. Nothing wrong with the goal of making better chips and computers, but the last time I checked, we had not yet figured out how the brain works. So how can we emulate it?"
ReplyDeleteWe do not yet know the precise algorithms of the brain, however, we do know a great deal about its basic building blocks, which include neurons, axons, and synapses. Our chips run extremely efficient digital models of these basic components, and allow us to map brain-like networks to perform tasks like recognition, control, and sensory integration. The important distinction is that we are not attempting to reverse engineer biological neural systems cell by cell; rather, we are interested in drawing inspiration from the brain's architecture so that we can capture its incredible efficiency.
Anonymous said...
ReplyDeleteWon't the silicon to carbon revolution be 'bigger' than this?
I am not sure if you talking about the revolution to silicon carbide, carbon nanotubes, graphene, or some other technology, but in any case what we have built is an architecture not strongly tied to the underlying implementation technology. Brains use a similar architecture using wetware components (neurons, synapses, and axons), and we built ours using silicon, constructing analogs of these components from transistors.
@Anonymous August 28, 2011 11:58 PM
ReplyDeleteThe architecture and behavior of the chip are inspired by the brain's structure and function, and as such we researchers drew a great deal from existing neuroscience knowledge and literature. We are not doing animal experiments in this work, nor did any animal experiments drive this research.