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. Softprox: A Post-Finetuning Methodology to Mitigate Softmax Bottlenecks in Transformer Workloads
  4. SparseDroop: Hardware–Software Co-Design for Mitigating Voltage Droop in DNN Accelerators
  5. FlexNPU: a dataflow-aware flexible deep learning accelerator for energy-efficient edge devices
  6. SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators
  7. HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds
  8. DRAX: Revolutionizing Energy-Efficient DNN Collaboration
  9. Towards Energy-Accuracy Scalable Multimodal Cognitive Systems
  10. Accelerating AI: Optimized Task Distribution across Edge and Cloud for Rapid Responses
  11. Energy efficient design of edge inference systems using accuracy-energy tradeoffs
  12. Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices
  13. Approximate inference systems (AxIS)
  14. Railway bridge health monitoring system using smart wireless sensor network
  15. CEEDS: A Cost Effective Event Detection System for Energy Efficient Railway Bridge Monitoring with Wireless Sensor Network
  16. Power efficient event detection scheme in wireless sensor networks for railway bridge health monitoring system
  17. Impact of mismatch losses arising in crystalline and amorphous silicon PV modules-An Indian experience