Bio-mimetic high-speed target localization with fused frame and event vision for edge application
Evolution has honed predatory skills in the natural world where localizing and intercepting
fast-moving prey is required. The current generation of robotic systems mimics these …
fast-moving prey is required. The current generation of robotic systems mimics these …
Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing
JO Hasler, A Basu - Neuromorphic Computing and Engineering, 2025 - iopscience.iop.org
The effort addresses the research activity around the usage of Non-Volatile Memories (NVM)
for storage of “weights” in neural networks and the resulting computation through these …
for storage of “weights” in neural networks and the resulting computation through these …
A fully digital SRAM-based four-layer in-memory computing unit achieving multiplication operations and results store
Z Lin, S Zhang, Q Jin, J Xia, Y Liu, K Yu… - … Transactions on Very …, 2023 - ieeexplore.ieee.org
The separation of memory and arithmetic logic unit (ALU) in the von Neumann computing
architecture hinders the development of big data and high-performance computing. In …
architecture hinders the development of big data and high-performance computing. In …
RSACIM: Resistance Summation Analog Computing in Memory With Accuracy Optimization Scheme Based on MRAM
J Wang, Z Gu, B Zhang, Y Chen, Z Wang… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Computing in memory (CIM) has become a promising candidate to address the Von
Neumann bottleneck in processors designed for data-intensive applications. In this article …
Neumann bottleneck in processors designed for data-intensive applications. In this article …
Memory Efficient Corner Detection for Event-Driven Dynamic Vision Sensors
Event cameras offer low-latency and data compression for visual applications, through event-
driven operation, that can be exploited for edge processing in tiny autonomous agents …
driven operation, that can be exploited for edge processing in tiny autonomous agents …
A Low-Power Spike Detector Using In-Memory Computing for Event-based Neural Frontend
With the sensor scaling of next-generation Brain-Machine Interface (BMI) systems, the
massive A/D conversion and analog multiplexing at the neural frontend poses a challenge in …
massive A/D conversion and analog multiplexing at the neural frontend poses a challenge in …
A Memory-Efficient High-Speed Event-based Object Tracking System
Dynamic vision sensors (DVS) have become prevalent in edge vision applications due to
their low power and short latency attributes. However, current DVS-based object tracking …
their low power and short latency attributes. However, current DVS-based object tracking …