Results 261 to 270 of about 24,472 (312)

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

HfO₂-based memristive synapses with asymmetrically extended p-n heterointerfaces for highly energy-efficient neuromorphic hardware. [PDF]

Sci Adv
Bakhit B, Xie X, Fairclough SM, Jan A, Persson I, Di Martino G, Zhu B, Ducati C, Jia Q, Yildiz B, Flewitt AJ, MacManus-Driscoll JL.   +11 more
europepmc   +1 more source

A Review of Embedded Artificial Intelligence Research (2023-2026): Technological Advancements, Representative Advances, and Future Prospects. [PDF]

Micromachines (Basel)
Zhang Z.
europepmc   +1 more source

Reconfigurable In-Sensor Computing Memristor for Olfactory SNN and Reservoir Hybrid Neuromorphic Computing. [PDF]

Research (Wash D C)
Lu L, Zhang J, Chen Q, Meng J, Zou Y, Wang Y, Wang T.   +6 more
europepmc   +1 more source

Artificial sparse neuron dendrites for visual information inference. [PDF]

Sci Adv
Wang R, Liu G, Wang S, Jing X, Sun J, Li D, Ge K, Shen X, Qiu M, Wang H, Zhu B.   +10 more
europepmc   +1 more source

Neuromorphic photonic computing with an electro-optic analog memory. [PDF]

Nat Commun
Lam S, Khaled A, Bilodeau S, Marquez BA, Prucnal PR, Chrostowski L, Shastri BJ, Shekhar S.   +7 more
europepmc   +1 more source

Organic Transistor-Based Neuromorphic Electronics and Their Recent Applications. [PDF]

Small Methods
Wang Z, Yan F.
europepmc   +1 more source

On the next generation for neuromorphic computing and neuromorphic AI

openaire   +1 more source

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Neuromorphic sensory systems

Current Opinion in Neurobiology, 2010
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
openaire   +3 more sources