Prof. Adam Teman
Research Interests:
- Hardware for AI/ML/DL
- Open-Source RISC-V Processors
- Low-power digital design
- Domain-specific Accelerators
- Embedded Memory Design
- Algorithms and Methodologies for Physical Design
- Significance-driven approximate computing
- Process tolerant design techniques
- In-Memory Computing
- Educating Hardware Engineering
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