Center for Brain-inspired Computing Enabling Autonomous Intelligence

Kaushik Roy (Purdue), Center Director

Anand Raghunathan (Purdue), Assistant Center Director

The mission of CBRIC is to deliver key advances in cognitive computing, with the goal of enabling a new generation of autonomous intelligent systems. Machine learning has enabled tremendous advances in sensory perception and information retrieval tasks such as web search, object recognition in images and videos, speech recognition and natural language translation. The next wave of artificial intelligence will enable autonomous intelligent systems such as self-flying drones and personal robotic assistants. This has the potential to drive growth in computing and semiconductors, but also poses unprecedented demands in the face of diminishing benefits from semiconductor technology scaling. Autonomous intelligent systems will need to perform end-to-end functions (perception, reasoning, and decision-making) on a common energy-efficient neural substrate, continuously learn from limited data in a rapidly changing environment, demonstrate high robustness for use in safety-and mission-critical applications, and narrow the orders-of-magnitude energy efficiency gap between current computing platforms and the brain. CBRIC will address these challenges through synergistic exploration of Neuro-inspired Algorithms and Theory, Neuromorphic Hardware Fabrics, Distributed Intelligence, and Application Drivers.

Annual Report

  1. Year 1 Annual Report (Jan 1 - Dec 31, 2018)

CBRIC Metrics

  1. Current

    11 Research Tasks
    10 Universities
    139 Students
    20 Faculty Researchers
    67 Liaison Personnel
  2. This Year

    68 Research Publications
  3. Last Year

    15 Task Starts
    196 Research Publications
    1 Patent Applications
  4. Since Inception

    15 Research Tasks
    10 Universities
    147 Students
    21 Faculty Researchers
    71 Liaison Personnel
    264 Research Publications
Updated: 22-Apr-2019, 12:05 a.m. ET

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