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Latest News for 2025

Dr. Tan was elected to the Fellow of Asia-Pacific Artificial Intelligence Association (AAIA)

The Asia-Pacific Artificial Intelligence Association (AAIA) (https://aaia-ai.org), which is formed in 2023, is an academic, non-profit and non-governmental organization voluntarily formed 2053 academicians worldwide. The Asia-Pacific Artificial Intelligence Association (AAIA) aims to build a broad AI industry, bringing together scientists and entrepreneurs related to AI applications to develop AI industries, including the AI Ocean, AI...

PhD student Subed Lamichhane successfully passed the PhD defense

Ph.D. student Subed Lamichhane successfully passed his PhD defense today. His thesis is titled "Advances in ML-driven design automation for VLSI reliability analysis". Suned made many significant contributions to the VLSI reliability analysis. He also developped the EMspice 2.1 to consider the thermal impacts on the electromigration and IR drop analysis. Subed will join Analog...

Ph.D. student Subed Lamichhane won Dissertation Completion Fellowship Award (DCFA)

Subed just won Dissertation Completion Fellowship Award (DCFA) for his last year in PhD student at UCR. It will cover two quarter stipends (about $10K) in 2025. This is a very competitive aware for senior Ph.D. students in UCR graduate division. Congratulations on Subed.

VSCLAB introduce hybrid temporal computing framework for power efficient AI computing

VSCLAB is excited to share that we proposed a new low-power computing paradigm called Hybrid Temporal Computing (HTC). In HTC, data for multiplication are encoded in a hybrid format combining temporal data and traditional bitstream data. The temporal data concept is inspired by recently proposed temporal computing (or race logic), where information is encoded as...

VSCLAB introduced open-sourced thermal map dataset from commercial CPU/GPU/TPU multi-core and many-core processors

VSCLAB introduced the first publicly available thermal map dataset from commercial CPU/GPU/TPU multi-core and many-core processors! These datasets were gathered using our advanced thermal imaging system at VSCLAB, UC Riverside and include both raw thermal maps and workload-dependent utilization metrics (e.g., Intel PCM, AMD uProf 4.0). This unique combination enables real-time full-chip thermal modeling using...