All Stories

  1. NEXUS: Speeding Up the Next Wave of AI Workloads, GNN and SSM Optimization on NPUs
  2. COSMOS: Designing Energy-Efficient Context-Aware Multimodal Cognitive Systems
  3. RamForm: A Ramanujan Wavelet Transform-Based Accelerator for Energy-Efficient Signal Processing
  4. SparseDroop: Hardware–Software Co-Design for Mitigating Voltage Droop in DNN Accelerators
  5. Demo Abstract: A Low-Power Real-Time Hardware Accelerator for Edge Detection Using Stochastic Computing
  6. Demo Abstract: ECO: Low Power Context-Aware Multimodal AI on NPUs
  7. LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units
  8. PRISM: Toward Energy-Efficient AIoT with Processing-In-Sensor+Memory in Battery-Free Devices
  9. DRAX: Revolutionizing Energy-Efficient DNN Collaboration
  10. Towards Energy-Accuracy Scalable Multimodal Cognitive Systems
  11. HIPEDAP: Energy-Efficient Hardware Accelerators for Hidden Periodicity Detection
  12. HIPER: Low Power, High Performance and Area-Efficient Hardware Accelerators for Hidden Periodicity Detection using Ramanujan Filter Banks
  13. An Efficient Multiplier-less Hardware for Hidden Periodicity Detection Using Ramanujan Filter Bank