Ultralow power in-sensor neuronal computing with oscillatory retinal neurons for frequency-multiplexed, parallel machine vision
In-sensor and near-sensor computing architectures enable multiply accumulate operations
to be carried out directly at the point of sensing. In-sensor architectures offer dramatic power …
to be carried out directly at the point of sensing. In-sensor architectures offer dramatic power …
A 389 TOPS/W, always ON region proposal integrated circuit using in-memory computing in 65 nm CMOS
Neuromorphic vision sensors (NVSs) are key enablers of energy savings in Internet of
Things (IoT)-based traffic monitoring and surveillance systems that exploit the temporal …
Things (IoT)-based traffic monitoring and surveillance systems that exploit the temporal …
A 915–1220 TOPS/W, 976–1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors
X Zhang, A Basu - IEEE Journal of Solid-State Circuits, 2022 - ieeexplore.ieee.org
Neuromorphic vision sensors (NVSs) save energy and reduce data at the source by
asynchronously recording changes in temporal contrast. Thus, NVS provides an opportunity …
asynchronously recording changes in temporal contrast. Thus, NVS provides an opportunity …
Ebbinnot: a hardware-efficient hybrid event-frame tracker for stationary dynamic vision sensors
As an alternative sensing paradigm, dynamic vision sensors (DVSs) have been recently
explored to tackle scenarios where conventional sensors result in high data rate and …
explored to tackle scenarios where conventional sensors result in high data rate and …
SCIMITAR: Stochastic Computing In-Memory In-Situ Tracking ARchitecture for Event-Based Cameras
W Romaszkan, J Yang, A Graening… - … on Computer-Aided …, 2024 - ieeexplore.ieee.org
Event-based cameras offer low latency and high-dynamic range imaging data in a sparse
format that is well-suited for high-speed object tracking. Processing this sparse data in the …
format that is well-suited for high-speed object tracking. Processing this sparse data in the …
Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning
L Huijbregts, HH Liu, P Detterer, S Hamdioui… - Proceedings of the 61st …, 2024 - dl.acm.org
Current Artificial Intelligence (AI) computation systems face challenges, primarily from the
memory-wall issue, limiting overall system-level performance, especially for Edge devices …
memory-wall issue, limiting overall system-level performance, especially for Edge devices …
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors
As an alternative sensing paradigm, dynamic vision sensors (DVS) have been recently
explored to tackle scenarios where conventional sensors result in high data rate and …
explored to tackle scenarios where conventional sensors result in high data rate and …
A 915–1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm …
X Zhang, A Basu - 2022 IEEE Custom Integrated Circuits …, 2022 - ieeexplore.ieee.org
The bio-inspired asynchronous event-based neuromorphic vision sensors (NVS) are
introducing a paradigm shift in visual information sensing and processing [1]. The feature of …
introducing a paradigm shift in visual information sensing and processing [1]. The feature of …