All Stories

  1. InterAxNN: Reconfigurable and Approximate in-Memory Processing Accelerator for Ultra-Low-Power Binary Neural Network Inference in Intermittently Powered Systems
  2. Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset
  3. SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators
  4. Graph Learning-based Fault Criticality Analysis for Enhancing Functional Safety of E/E Systems
  5. Accelerating AI: Optimized Task Distribution across Edge and Cloud for Rapid Responses
  6. Energy efficient design of edge inference systems using accuracy-energy tradeoffs