11 citations · 14 across the 13 of their papers we have counts for
5 papers · 1 filter
GLANCE: Gaze-Led Attention Network for Compressed Edge-inference
Neeraj Solanki, Hong Ding, Sepehr Tabrizchi +4
Real-time object detection in AR/VR systems faces critical computational constraints, requiring sub-10\,ms latency within tight power budgets. Inspired by biological foveal vision,…
Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate
Deniz Najafi, Hamza Errahmouni Barkam, Mehrdad Morsali +6
Neuro-symbolic Artificial Intelligence (AI) models, blending neural networks with symbolic AI, have facilitated transparent reasoning and context understanding without the need for…
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems
Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi
Battery-powered IoT devices face challenges like cost, maintenance, and environmental sustainability, prompting the emergence of batteryless energy-harvesting systems that harness…
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks
Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi +1
In this work, a high-speed and energy-efficient comparator-based Near-Sensor Local Binary Pattern accelerator architecture (NS-LBP) is proposed to execute a novel local binary patt…
PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing
Shaahin Angizi, Sepehr Tabrizchi, Arman Roohi
This work proposes a Processing-In-Sensor Accelerator, namely PISA, as a flexible, energy-efficient, and high-performance solution for real-time and smart image processing in AI de…