Top-tier training awaits the next generation of researchers. Inspired by Telluride (est. 1993) and Capo Caccia (est. 2007), we aim to expand their legacy into Asia-Pacific. Our objective: equip individuals with essential neuromorphic engineering skills and foster global advancement.
The Bangalore Neuromorphic Engineering Workshop is designed to provide first-rate training to upcoming researchers in neuromorphic technologies, building upon the legacy of influential workshops like Telluride and Capo Caccia. These workshops have significantly contributed to the development of vibrant research communities in the US and Europe. Our goal is to replicate this success in the Asia-Pacific region. We aim to equip participants with advanced skills in neuromorphic engineering and to enhance the growth of this critical field on an international scale.
Originating from the innovative work of Carver Mead and Misha Mahowald at Caltech in the 1990s, neuromorphic started with creating brain-like models of neural computation and sensing using traditional VLSI CMOS technologies. The field has expanded to include studies on new memory technologies, development of large-scale spiking neural network chips for advanced computing, and exploring theories of plasticity, learning, and both artificial and natural intelligence.
Today, the field of neuromorphic engineering is experiencing widespread adoption by major corporations such as Samsung, Sony, Intel, and IBM, alongside significant support from governmental funding agencies. Recognized as a promising avenue for developing AI computing technologies, neuromorphic approaches offer potential solutions to the inherent limitations and critical challenges faced by conventional computing systems and deep learning methodologies. By leveraging principles inspired by the brain's architecture, neuromorphic engineering endeavors to revolutionize the landscape of artificial intelligence, paving the way for more efficient, adaptive, and intelligent computing systems.
Get ready for an immersive experience at the Bangalore Neuromorphic Engineering Workshop, where you'll engage in lively discussions, hands-on sessions, and much more, exploring cutting-edge topics like:
Exploring novel neuromorphic architectures, circuits, and hardware that could demonstrate neuromorphic performance advantages when compared to conventional computing architectures like central processing units (CPUs), graphical processing units (GPUs).
Topic leaders – Shantanu Chakrabartty (Washington University St. Louis), Chetan Singh Thakur (IISc)
Read MoreExplore the latest developments in neuromorphic sensors that mimic the human senses, including dynamic vision sensors, neuromorphic radar, olfactory sensors, and more. These innovative sensors are transforming industries and applications by providing more efficient, adaptive, and human-like sensing capabilities, enabling new possibilities for robotics, autonomous systems, healthcare, and the Internet of Things (IoT).
Topic leaders – André van Schaik (University of Manchester), Satyapreet Singh Yadav (Indian Institute of Science)
Read MoreUnlock the potential of brain–computer interfaces through the application of neuromorphic principles, innovative signal processing algorithms for real-time decoding, and cutting-edge hardware development, enabling faster and more accurate communication between the human brain and machines.
Topic leaders – Arindam Basu (City University of Hong Kong), Sridhar Devarajan (Indian Institute of Science)
Read MoreBNEW is led by a distinguished team of organizers who bring global academic and industry experience to curate the workshop's content and direction.
Our Steering Committee consists of renowned experts in neuromorphic engineering who provide guidance and strategic direction for the workshop.
Immerse yourself in a setting that is as rigorous as it is rewarding, designed to foster innovation and collaboration among participants. Engage with experts and peers to tackle the pressing challenges in neuromorphic engineering.
Experience a series of enlightening talks on topics such as neuromorphic sensing, machine learning, neuroscience and chip design, delivered by leading academicians and industry professionals.
Work alongside peers in team meetings, scheduled each afternoon, to brainstorm and develop project ideas. Utilize advanced research facilities to shape and refine your innovative solutions.
Join the dedicated Slack channel a month before the workshop starts to discuss ideas and form teams. This early engagement is crucial for a head start on project collaboration.
Prepare to present your project progress during an initial review on the 3rd or 4th day of the workshop. Culminate your experience with a final presentation on January 17th, showcasing your team's achievements to the workshop attendees.
The workshop will feature talks and sessions by leading researchers and pioneers in the field of neuromorphic engineering.
City University of Hong Kong
Washington University St. Louis, USA
The University of Manchester, UK
Italian Institute of Technology
Johns Hopkins University, USA
Instituto de Microelectrónica de Sevilla
Heidelberg University, Germany
University of Texas at San Antonio, USA
Georgia Tech University, USA
National Taiwan University of Science and Technology
University of Pittsburgh, USA
Johns Hopkins University, USA
Western Sydney Univeristy
University of California, San Diego, USA
University of Leicester, UK
TU Delft, Netherlands
University of Pennsylvania, USA
Yale University, USA
Indian Intitute of Science, India
National Institute of Advanced Studies, India
Indian Intitute of Science, India
IIT Guwahati, India
Indian Intitute of Science, India
Indian Intitute of Science, India
Purdue University, USA
Registration is required to attend all sessions of the Bangalore Neuromorphic Engineering Workshop 2026. Please review the guidelines below.
Application Period: July 15 – August 30, 2025
Notification of Acceptance: By September 15, 2025
Eligibility:
Open to senior Master's students, PhD scholars, postdoctoral researchers, and industry professionals.
Application Process:
Selection Process:
Shortlisted applicants will have their references contacted within 15 days of submission. Final decisions will be shared by September 15, 2025 after receipt of Letters of Recommendation.
Note:
Industry applicants do not require Letters of Recommendation. Simply complete the form and upload the required documents.
BNEW 2025 was a landmark gathering of researchers, students, and industry professionals passionate about brain-inspired computing. Over 11 days, the workshop hosted inspiring keynote talks, collaborative project work, and hands-on neuromorphic systems demonstrations.
