Future computing approaches, including: Neuromorphic architectures, Brain-inspired computing, Approximate and probabilistic computing, Analog computing, Computing based on novel device physics and materials (e.g., spin-based electronics, nonlinear dynamics and chaos), Energy-efficient computing including reversible, adiabatic, and ballistic computing, Superconducting and cryogenic computing, Quantum computing, Optical computing, Biological/biochemical computing, Non-von Neumann computer architectures (e.g., in-memory processing, memory-based computing, cellular automata and cellular neural networks)

Future computing design aspects, including: Extending Moore’s law and augmenting CMOS, Error-tolerant logic and circuits to extend Moore’s law, EDA for post-CMOS technologies, Future of design automation post-CMOS, 3D/Heterogeneous integration and packaging, Future computing impact on performance, power, scalability, reliability, supportability.

Future Software and Applications, including: Beyond von Neumann system software issues, including operating systems, compilers, security, and resource management, Future computing programming paradigms and languages, Applications suitable for and driving next generation computing (e.g. ML, DL, etc.)

Future computing use cases and prototypes; Ethics in design, implementation, and use; New technologies impacting the International Roadmap for Devices and Systems (IRDS)