2026
ENERGY CONSEQUENCES OF INFORMATION WORKSHOP
February 2-5 | Santa Fe, New Mexico
2026
ENERGY CONSEQUENCES OF INFORMATION WORKSHOP
February 2-5 | Santa Fe, New Mexico
Announcement! Abstract Submission Now Open!
Topics
Main Theme – Neuromorphic Computing: Insights from the Brain's Co-Design Principles
Neuromorphic computing has the potential to significantly transform computing in a variety of applications, such as artificial intelligence, edge computing, and scientific computing, all while maintaining high energy efficiency. To foster broader community engagement and facilitate the rapid prototyping and testing of innovative algorithms and systems, the development of large-scale neuromorphic testbeds is crucial.
Next-Generation Architectures
Neuromorphic Primitives / Circuit Architectures
Frameworks for fundamental energetic limitations
Advances in Neuroscience relevant to Neuromorphic Computing
Continual Learning
Next-generation AI/ML Algorithms
Neuromorphic Algorithms
Novel Use-Cases for Devices
Neuromorphic Testbeds
Software Co-Design Tools
3D Architectures/ Connectivity
Fundamental Challenges in Emerging Computing
Energy consequences for HPC
Energy aspects of Quantum Computing
Applications for Novel Technologies
Energy Constrained Environments
Future Energy Landscape
Thermodynamic Computing
Robotics, Autonomy, & Automation
Goals
Survey current state-of-the-art technologies and articulate areas requiring rapid research and development.
Leverage community expertise in emerging technology to brainstorm new research pathways.
Develop a new roadmap for fundamental research and technology development.
Community insight on neuromorphic testbeds required to enable research, rapid prototyping, and large-scale simulation efforts.
Understand the potential roles of government, industry, and academia can play to foster a community to enable rapid co-design.
Organizing Committee
Dr. Robinson Pino (US DOE SC ASCR)
Dr. Suma Cardwell (SNL)
Dr. Hal Greenwald (AFSOR)
Dr. Arthur Edwards (AFRL)
Dr. Chiping Li (AFOSR)
Dr. Jim Lyke (AFRL)