Results 111 to 120 of about 535,457 (208)

End-to-End Edge Neuromorphic Object Detection System

Neuromorphic accelerators are emerging as a potential solution to the growing power demands of Artificial Intelligence (AI) applications. Spiking Neural Networks (SNNs), which are bio-inspired architectures, are being considered as a way to address this ...
Fouda, M. E., Smagulova, Kamilya, Silva, Diego, Shymyrbay, Ayan, Eltawil, Ahmed Mohamed, Elsheikh, A.   +5 more
core   +1 more source

Enhancing Celestial Imaging: High Dynamic Range with Neuromorphic Detectors

iScience Notes
Conventional frame-based cameras often struggle with limited dynamic range, leading to saturation and loss of detail when capturing scenes with significant brightness variations. Neuromorphic cameras, inspired by the human retina, offer a solution by providing an inherently high dynamic range.
Satyapreet Singh Yadav, Nirupam Roy, Chetan Singh Thakur   +2 more
openaire   +3 more sources

Optimizing Compton camera performance [PDF]

, 2011
Amore realistic simulation approach is used to study the behavior of the Compton camera in this thesis than previous studies to date. The Compton camera differs from gamma cameras in that the collimator is replaced by a detector known as the ‘scatterer’
Uche, Chibueze Zimuzo
core  

A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity

Neuromorphic Computing and Engineering
Spiking neural networks (SNNs) are neuromorphic systems that emulate certain aspects of biological neural tissue, offering potential advantages in energy efficiency and speed by for example leveraging sparsity.
Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner   +4 more
doaj   +1 more source

Neuromorphic engineering: neuromimetic computation for understanding the brain [PDF]

, 2014
Neuromorphic engineering attempts to understand the computational properties of neural processing systems by building electronic circuits and systems that emulate the principles of computation in the neural systems.
Abbott, Derek, Giacomo, Indiveri, Rahimi, Mostafa   +2 more
core  

Wandering around: a bioinspired approach to visual attention through object motion sensitivity

Neuromorphic Computing and Engineering
Active vision enables dynamic and robust visual perception, offering an alternative to the static, passive nature of feedforward architectures commonly used in computer vision, which depend on large datasets and high computational resources.
Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov   +5 more
doaj   +1 more source

CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras

Recognizing and continuously learning novel human actions without forgetting prior classes is a requirement for emerging AR/VR and robotics applications. For these applications, both on-device processing and learning are essential for privacy and low-latency adaptation.
Elvin Hajizada, Michael Neumeier, Edward Paxon Frady, Yulia Sandamirskaya, Axel von Arnim, Bing Li, Eyke Hüllermeier   +6 more
openaire   +2 more sources

Notan, Bulletin of the Seattle Camera Club, No. 22, March 12, 1926

, 1926
In Japanese and English. Printed on cover: The Seattle Camera Club. 422 1/2 Main Street, Seattle, Washington. Editors: R. Azuma, Y.T. Iwasaki, S. Kashiwagi, K.
Seattle Camera Club
core  

A retina-inspired pathway to real-time motion prediction inside image sensors for extreme-edge intelligence

Neuromorphic Computing and Engineering
The ability to predict motion in real time is fundamental to many maneuvering activities in animals, particularly those critical for survival, such as attack and escape responses.
Subhradip Chakraborty, Shay Snyder, Md Abdullah-Al Kaiser, Maryam Parsa, Gregory Schwartz, Akhilesh R Jaiswal   +5 more
doaj   +1 more source

Neuromorphic Event-based Line Detection on SpiNNaker

International audienceThe combined use of Spiking Neural Networks (SNNs) and neuromorphic data in recent years makes for a promising solution to the challenges currently raised in computer vision.
Gruel, Amélie, Martinet, Jean, Saïghi, Sylvain, Vincent, Adrien   +3 more
core   +1 more source