The Center for Brain-inspired Computing Enabling Autonomous Intelligence, or C-BRIC, is a five-year project supported by $32 million in funding from the Semiconductor Research Corp. (SRC) via its Joint University Microelectronics Program, which provides funding from a consortium of industrial sponsors as well as from the Defense Advanced Research Projects Agency. The SRC operates research programs in the United States and globally that connect industry to university researchers, deliver early results to enable technological advances, and prepare a highly-trained workforce for the semiconductor industry.

The mission of the Center for Brain-inspired Computing (C-BRIC) is to deliver key advances in cognitive computing, with the goal of enabling a new generation of autonomous intelligent systems such as self-flying drones and interactive personal robots.

To address these challenges, C-BRIC will co-develop the next generation of neuro-inspired algorithms and theory, neuromorphic computing fabrics and distributed intelligence. We will leverage application drivers and cutting-edge testbeds already available with the PIs to provide context to the center’s research and evaluate its outcomes.

By bringing together a unique team of leading researchers from the fields of machine learning, computational neuroscience, theoretical computer science, neuromorphic hardware, distributed computing, robotics and autonomous systems, C-BRIC will pursue quantum improvements in cognitive systems that will be difficult for these communities to achieve independently.

The following ten universities have come together to pursue the goals of C-BRIC:


The center’s research is organized into the following themes: (1) Neuro-inspired Algorithms and Theory, (2) Neuromorphic Fabrics, (3) Distributed Intelligence, and (4) Application Drivers.

Click the theme title for more information about the theme and the researchers on that team.

brain icon Theme 1: Neuro-inspired Algorithms & Theory
  • Robust & efficient learning algorithms (beyond deep learning)
  • From perception to inference, decision making & control
  • Theoretical underpinnings of neuromorphic computing
microchip icon Theme 2: Neuromorphic Fabrics
  • Neuromorphic architectures & computing fabrics
  • Programming models & frameworks
  • Neuro-mimetic circuits & devices
Cloud with Arrows Icon Theme 3: Distributed Intelligence
  • Distributed cognitive processing (edge/hub/cloud, peer-to-peer)
  • Multi-modal cognition
  • Cognition on compressed data (communication-optimized)
microchip with the letters AI Icon Theme 4: Application Drivers
  • Self-flying drones
  • Personalized robots


CVPR 2023 Workshop on Event-based Vision, Kaushik Roy, Purdue

Advances in the quest to understand intelligence, Tomaso Poggio, MIT

Thoughts on Learning Theory, Tomaso Poggio, MIT

New Semiconductor Panel Discussion, Purdue Engineering with Anand Raghunathan

Reverse Engineering Visual Intelligence, James DiCarlo, MIT

CIM-SECDED: A 40nm 64Kb Compute In-Memory RRAM Macro with ECC Enabling Reliable Operation, Brian Crafton, Georgia Tech

In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges, Kaushik Roy, Purdue

The Science and Engineering of Intelligence, Tomaso Poggio, MIT

A Theory of Deep Learning: Explaining the Approximation, Optimization and Generalization Puzzles: Part 1, Tomaso Poggio, MIT

PODCAST: Brainy AI, Tomaso Poggio, MIT

Processing-in-Memory Architectures for Deep Learning and Graph Applications, Vijaykrishnan Narayanan, Penn State

Energy-Efficient, Robust and Interpretable Neuromorphic Computing Through Algorithm-Hardware Co-Design, Priya Panda, Yale

Rethinking Computing with Neuro-Inspired Learning: Algorithms, Architecture, Devices, Kaushik Roy, Purdue

Re-engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems, Kaushik Roy, Purdue

Re-engineering Computing with Spike-based Learning: Algorithms, Architecture, and Devices, Kaushik Roy, Purdue

Reverse engineering visual intelligence, Jim Dicarlo, MIT

Introduction to Brains, Minds and Machine, Tomaso Poggio, MIT

Seed to Success video, Kaushik Roy, Purdue

Reengineering Computing for Next Generation Autonomous Intelligent Systems: Devices, Circuits and Algorithms, Kaushik Roy, Purdue

C-BRIC Launches

Our Team

  • Kaushik RoyKaushik Roy Director
    Edward G. Tiedemann, Jr., Distinguished Professor of Electrical and Computer Engineering
    Purdue University
    Kaushik's Webpage    Biography
  • Anand RaghunathanAnand Raghunathan
    Associate Director

    Silicon Valley Professor of Electrical and Computer Engineering
    Purdue University
    Anand's Webpage    Biography
  • Sanjeev AroraSanjeev Arora
    Charles C. Fitzmorris Professor of Computer Science
    Princeton University

    Sanjeev's Webpage    Biography
  • Yu (Kevin) Cao Yu (Kevin) Cao
    Professor of Electrical Engineering
    Arizona State University
    Yu's Webpage    Biography
  • Kostas DaniilidisKostas Daniilidis
    Ruth Yalom Stone Professor of Computer and Information Science
    University of Pennsylvania
    Kostas's Webpage    Biography
  • Jim DiCarloJim DiCarlo
    Department Head and Peter de Florez Professor of Neuroscience, Brain and Cognitive Sciences
    Massachusetts Institute of Technology
  • Sumeet GuptaSumeet Gupta
    Elmore Associate Professor of Electrical and Computer Engineering
    Purdue University

    Sumeet's Webpage    Biography
  • Dan HammerstromDan Hammerstrom
    Theme 1 leader
    Professor Emeritus of Electrical and Computer Engineering
    Portland State University
    Dan's Webpage    Biography
  • Laurent IttiLaurent Itti
    Professor of Computer Science, Psychology, and Neuroscience
    University of Southern California
    Laurent's Webpage    Biography
  • Suresh JagannathanSuresh Jagannathan
    Samuel D. Conte Professor of Computer Science
    Purdue University
    Suresh's Webpage    Biography
  • Vijay KumarVijay Kumar Theme 4 leader
    Nemirovsky Family Dean of Engineering and Professor of Mechanical Engineering & Applied Mechanics
    University of Pennsylvania
    Vijay's Webpage    Biography
  • Vijay NarayananVijay Narayanan
    Theme 3 leader
    Robert Noll Chair Professor of Computer Science and Engineering
    Pennsylvania State University
    Vijay's Webpage    Biography
  • Priya PandaPriyadarshini Panda
    Assistant Professor of Electrical Engineering
    Yale University

    Priya's Webpage    Biography
  • Tomaso PoggioTomaso Poggio
    Eugene McDermott Professor of Brain and Cognitive Sciences
    Massachusetts Institute of Technology

    Tomaso's Webpage    Biography
  • Vijay RaghunathanVijay Raghunathan
    Professor of Electrical and Computer Engineering
    Purdue University

    Vijay's Webpage    Biography
  • Arijit RaychowdhuryArijit Raychowdhury
    Theme 2 leader
    Steve W. Chaddick School Chair and Motorola Solutions Foundation Professor of Electrical & Computer Engineering
    Georgia Institute of Technology
    Arijit's Webpage    Biography
  • Jae-sun SeoJae-sun Seo
    Associate Professor of Electrical, Computer, and Energy Engineering
    Arizona State University
    Jae-sun's Webpage    Biography
  • Naresh ShanbhagNaresh Shanbhag
    Jack Kilby Professor of Electrical and Computer Engineering
    University of Illinois at Urbana-Champaign
    Naresh's Webpage    Biography
  • Naveen VermaNaveen Verma
    Professor of Electrical Engineering
    Princeton University
    Naveen's Webpage    Biography
  • Contact Us

    C-BRIC is located in the Department of Electrical Engineering on the West Lafayette campus of Purdue University.
    For additional information about the Center, please contact: C-BRIC#cbric.org.

    Address of C-BRIC:
    • Center for Brain-Inspired Computing
    • Electrical Engineering Building
    • 465 Northwestern Ave.
    • West Lafayette, Indiana 47907-2035

    Our Staff includes:

  • Kaushik RoyKaushik Roy

    Kaushik's Webpage    Biography
  • Anand RaghunathanAnand Raghunathan
    Associate Director


    Anand's Webpage    Biography
  • Chamika Liyanagedera Chamika Liyanagedera
    Postdoctoral Research Assistant

  • Nicole Piegza Nicole Piegza
    Research Operations Manager

  • Buddhi Wickramasinghe Buddhi Wickramasinghe
    Postdoctoral Researcher

  • Address of C-BRIC:

    • Center for Brain-Inspired Computing
    • Electrical Engineering Building
    • 465 Northwestern Ave.
    • West Lafayette, Indiana 47907-2035
    Copyright © 2017-2018 - Purdue University College of Engineering - C-BRIC. All Rights Reserved.