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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★ 1 cited
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…