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Dharmendra S. Modha

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San Jose Mercury News Article

September 2, 2008 By dmodha

Today, San Jose Mercury News carried an article by Mike Cassidy entitled: “At IBM Almaden Research Center, it’s eyes on the prize”. The article highlights the magical place that IBM Almaden Research Center is, and covers my group’s work on Cognitive Computing. See link to the original article here.

“I swear I could feel myself getting smarter as I drove through the parched hills and gnarled oaks on my way to IBM’s Almaden Research Center.

The hillside campus is something of an intellectual Olympus — a glass and green granite repository that radiates brilliance from some of the smartest technologists in Silicon Valley. The 400 researchers there are prized for the way they think.

Which is different. (Sorry, Apple.)

“They are the kids that like to take things apart. They don’t know why. They just like to take them apart,” says Mark Dean, former director of the Almaden lab and now IBM’s vice president of technical strategy and global operations for research. “They have an innate curiosity.”

The researchers at Almaden are technological poets, thinkers inspired by a muse or a distraction, the sort of visionary people who ask “what if” about possibilities that might leave the rest of us asking “huh?”

They are a different breed — the kind of people who make me wonder, “Why?”

Why do they spend their time with their heads in the clouds — as in cloud computing — and in the thick of figuring out how to best make sense out of the global torrent of digital information being collected on financial markets, climate change, security threats and on and on? Why do they study methods to control the way electrons spin? Why are they moving atoms from one place to another? Why are they trying to reverse-engineer the human brain and build a computer that will function the way our minds do?

What is it about someone that compels them to set out into the unknown to search for an answer that might not exist?

“For me, it was just that working here doesn’t feel like work,” says Sebastian Loth, a postdoctoral researcher. “You can ask questions. ‘Why are things the way they are?’ You get a profound feeling for why the sky is blue.”

And so Loth, who at 29 looks 19, spends his days in a windowless room stacked with electronic consoles and a spaghetti of cables and cords. His work — moving atoms from one spot to another — is undetectable by the human eye. Sure, the team he is on might one day create a stunning breakthrough in the area of miniaturizing computer storage. But the key thing? If you could move an atom, why wouldn’t you?

“You want to stumble on something, basically,” Dean says of IBM’s most far-out research. “Because that’s what happens. And most of the time what you’re looking for is not what you discover.”

Of course IBM is a business. (Maybe you’ve heard.) The company spends about $6 billion a year on research, and it does expect something back. Research ideas are vetted in any number of ways and approved by managers before they go forward. Two-thirds of the company’s research is aimed at yielding a product to sell in relatively short order. But the other third? Who knows?

Dharmendra Modha’s work on building a massive computer that will simulate the workings of a human brain might never add to IBM’s bottom line. He happens to think it will, but that’s not why he does what he does.

“I see a possibility,” he says of his project combining neuroscience and computer science. “And I feel that if I don’t manifest that possibility into reality, maybe nobody will.”

A human brain-like computer is years away and Modha doesn’t know whether he will ever get there.

But at the top of the hill in Almaden, it’s not about the destination. It’s about what you discover along the way.”

Filed Under: Accomplishments, Brain-inspired Computing, Press

SFN 2008: Nov 15-19 in Washington, DC

August 4, 2008 By dmodha

SfN is the major neuroscience conference where ~30,000 scientists usually attend.

Cognitive Computing Group at Almaden has 2 talks, and 3 posters at the conference. Congratulations to my colleagues!

Presentations/Talks
“Interfacing auditory input and output spike streams in a large-scale, cortical simulator ”, Shyamal Chandra, Rajagopal Ananthanarayanan, Tom Zimmerman, Dharmendra S. Modha

“Imaging the spatio-temporal dynamics of large-scale cortical simulations”, Rajagopal Ananthanarayanan, Shyamal Chandra, Dharmendra  S. Modha, Raghavendra Singh

Posters
“Quantifying Synchrony in Large-scale Cortical Simulations”, Anthony Ndirango, Rajagopal Ananthanarayanan, Dharmendra S. Modha

“Understanding the topological properties of the white matter pathways in the Macaque brain”, Dharmendra S. Modha and Raghav Singh

"FascTrack: Optimal estimation of long range white matter fascicle networks using diffusion tensor imaging", Anthony J. Sherbondy, Robert F. Dougherty, Brian A. Wandell, Dharmendra S. Modha

Filed Under: Brain-inspired Computing

Intel: Human and computer intelligence will merge in 40 years

July 25, 2008 By dmodha

"At Intel Corp., just passing its 40th anniversary and with myriad chips in its historical roster, a top company exec looks 40 years into the future to a time when human intelligence and machine intelligence have begun to merge."

See full story here.

Filed Under: Brain-inspired Computing

iCub

July 18, 2008 By dmodha

"The iCub is an artificial toddler [robot] with senses, 53 degrees of freedom, and a modular software structure designed to allow the work of different research teams to be combined."

"This open-source robot is designed to allow academics to concentrate on implementing their theories about learning and interaction without having to focus on designing and building hardware, and is part of the general trend towards open source in the field."

You can see a wonderful article by Sunny Bains in EE Times.

Filed Under: Brain-inspired Computing

Vivienne Ming

July 2, 2008 By dmodha

Today, we had a quite an interesting talk from Dr. Vivienne Ming.

Title: Sparse codes for natural sounds

Abstract: The auditory neural code must serve a wide range of tasks that require great sensitivity in time and frequency and be effective over the diverse array of sounds present in natural acoustic environments. It has been suggested (Barlow, 1961; Atick, 1992; Simoncelli & Olshausen, 2001; Laughlin & Sejnowski, 2003) that sensory systems might have evolved highly efficient coding strategies to maximize the information conveyed to the brain while minimizing the required energy and neural resources. In this talk, I will show that, for natural sounds, the complete acoustic waveform can be represented efficiently with a nonlinear model based on a population spike code. In this model, idealized spikes encode the precise temporal positions and magnitudes of underlying acoustic features. We find that when the features are optimized for coding either natural sounds or speech, they show striking similarities to time-domain cochlear filter estimates, have a frequency-bandwidth dependence similar to that of auditory nerve fibers, and yield significantly greater coding efficiency than conventional signal representations. These results indicate that the auditory code might approach an information theoretic optimum and that the acoustic structure of speech might be adapted to the coding capacity of the mammalian auditory system.

Bio: Vivienne Ming received her B.S. (2000) in Cognitive Neuroscience from UC San Diego, developing face and expression recognition systems in the Machine Perception Lab. She earned her M.A. (2003) and Ph.D. (2006) in Psychology from Carnegie Mellon University along with a doctoral training degree in computational neuroscience from the Center for the Neural Basis of Cognition. Her dissertation, Efficient auditory coding, combined computational and behavioral approaches to study the perception of natural sounds, including speech. Since 2006, she has worked jointly as a junior fellow and post-doctoral researcher at the Redwood Center for Theoretical Neuroscience at UC Berkeley and MBC/Mind, Brain & Cognition at Stanford University developing statistical models for auditory scene analysis.

Filed Under: Interesting People

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