3 papers
cs.AR2026
TREA: Low-precision Time-Multiplexed, Resource-Efficient Edge Accelerator for Object Detection and Classification
Vijay Pratap Sharma, Mukul Lokhande, Ratko Pilipovic +2
This work presents TREA, a low-precision time-multiplexed and resource-efficient edge-AI accelerator for object detection and classification, targeting stringent area-power-latency…
cs.AR2026
DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration
Shubham Kumar, Vijay Pratap Sharma, Vaibhav Neema +1
The rapid adoption of low-precision arithmetic in artificial intelligence and edge computing has created a strong demand for energy-efficient and flexible floating-point multiply-a…
eess.SP2026
Bio-RV: Low-Power Resource-Efficient RISC-V Processor for Biomedical Applications
Vijay Pratap Sharma, Annu Kumar, Mohd Faisal Khan +2
This work presents Bio-RV, a compact and resource-efficient RISC-V processor intended for biomedical control applications, such as accelerator-based biomedical SoCs and implantable…