• Skip to main content
  • Skip to primary sidebar

Dharmendra S. Modha

My Work and Thoughts.

  • Brain-inspired Computing
    • Collaborations
    • Videos
  • Life & Universe
    • Creativity
    • Leadership
    • Interesting People
  • Accomplishments
    • Prizes
    • Papers
    • Positions
    • Presentations
    • Press
    • Profiles
  • About Me

Archives for April 2008

SyNAPSE: Systems of Neuromorphic Adaptive Plastic Scalable Electronics

April 25, 2008 By dmodha

DARPA’s Defense Sciences Office (DSO) has recently issued a Broad Agency Announcement entitled SyNAPSE. The program is led by Dr. Todd Hylton.

Please see here for the BAA.

Here is a brief description:

"Over six decades, modern electronics has evolved through a series of major developments (e.g., transistors, integrated circuits, memories, microprocessors) leading to the programmable electronic machines that are ubiquitous today.  Owing both to limitations in hardware and architecture, these machines are of limited utility in complex, real-world environments, which demand an intelligence that has not yet been captured in an algorithmic-computational paradigm. As compared to biological systems for example, today’s programmable machines are less efficient by a factor of one million to one billion in complex, real-world environments.  The SyNAPSE program seeks to break the programmable machine paradigm and define a new path forward for creating useful, intelligent machines. 

The vision for the anticipated DARPA SyNAPSE program is the enabling of electronic neuromorphic machine technology that is scalable to biological levels.  Programmable machines are limited not only by their computational capacity, but also by an architecture requiring (human-derived) algorithms to both describe and process information from their environment.  In contrast, biological neural systems (e.g., brains) autonomously process information in complex environments by automatically learning relevant and probabilistically stable features and associations.  Since real world systems are always many body problems with infinite combinatorial complexity, neuromorphic electronic machines would be preferable in a host of applications—but useful and practical implementations do not yet exist. 

The key to achieving the vision of the SyNAPSE program will be an unprecedented multidisciplinary approach that can coordinate aggressive technology development activities in the following areas:  1) hardware; 2) architecture; 3) simulation; and 4) environment." 

Filed Under: Brain-inspired Computing

Decade of the Mind III: Emergence of Mind

April 11, 2008 By dmodha

The Decade of the Mind III event will be held at Great Apes Trust in Iowa.

Once again, the list of speakers is very distinguished, please see bios here:

Dr. Giulio Tononi
Dr. James L. Olds
Dr. Roger K. R. Thompson
Dr. Colin Allen
Dr. Kathy Schick
Dr. Nicholas Toth
Dr. Anne Russon
Dr. Tetsuro Matsuzawa
Dr. Robert Seyfarth
Dr. Merlin Donald

The reader may find the Decade of the Mind letter that we authored in Science interesting.

Filed Under: Brain-inspired Computing

Cognitive Animation Workshop

April 11, 2008 By dmodha

Professor Teenie Matlock from UC Merced are organizing a fascinating workshop on Cognitive Animation.

Filed Under: Brain-inspired Computing

Primary Sidebar

Recent Tweets

  • Fundamental Principle: Nature Abhors Gradients. https://t.co/KI2CRhWJdRover a year ago
  • The TrueNorth Journey https://t.co/XnpDScCAUV @IBMResearchover a year ago
  • Inspiration: "No great thing is created suddenly" - Epictetusover a year ago
  • IEEE Computer Cover Feature — TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years @IBMResearch… https://t.co/4fvYk2JCPTover a year ago
  • "In 2012, computer scientist Dharmendra Modha used a powerful supercomputer to simulate the activity of more than 5… https://t.co/Sz17XsG5h5over a year ago
  • Management Tip: Team success is AND, not OR.over a year ago
  • The creation of the electronic brain https://t.co/wBKjGtqkvi via @issuu See page 39 onwards ... @IBMResearchover a year ago
  • Creativity Tip: Beeline to problem, spiral to solution.over a year ago
  • PREPRINT: Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loo… https://t.co/WZHmGS5AxJover a year ago
  • "The power and performance of neuromorphic computing is far superior to any incremental solution we can expect on a… https://t.co/B2k9ZznHIJover a year ago

Recent Posts

  • Jobs in Brain-inspired Computing
  • Neuromorphic scaling advantages for energy-efficient random walk computations
  • Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference
  • Exciting Opportunities in Brain-inspired Computing at IBM Research
  • The TrueNorth Journey: 2008 – 2018 (video)

Archives by Month

  • 2022: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2020: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2019: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2018: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2017: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2016: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2015: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2014: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2013: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2012: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2011: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2010: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2009: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2008: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2007: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • 2006: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Evolution: Brain-inspired Computing

Copyright © 2023