Session

DescriptionIn this session, we will present eight works on hardware and algorithm design for emerging computing models. These span a wide range of areas, including AI, machine learning, neuromorphic computing, bioinformatics, approximate computing, and biochips. The selected works feature novel algorithms and hardware architectures for both general AI and machine learning applications, as well as specialized AI models such as vector symbolic AI. Together, they showcase a diverse array of computing techniques, highlighting the challenges and state-of-the-art solutions within these evolving paradigms.