Ho Chi Minh, Vietnam

Le Tan Thanh Tai


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 51(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Le Tan Thanh Tai: Innovator in Spiking Neural Networks

Introduction

Le Tan Thanh Tai is a notable inventor based in Ho Chi Minh, Vietnam. He has made significant contributions to the field of artificial intelligence, particularly in the area of spiking neural networks. His innovative work has led to the development of a unique patent that enhances pattern recognition capabilities.

Latest Patents

Le Tan Thanh Tai holds a patent titled "Spatio-temporal pattern recognition using a spiking neural network and processing thereof on a portable and/or distributed computer." This invention involves a spiking neural network composed of a layer of connected neurons that exchange signals. Each neuron is linked to at least one other neuron, and it becomes active if it spikes at least once during a specified time interval. The patent details the computation of time-varying synaptic weights between neurons based on the number of active neurons connected to them and their activity during the time interval. The synchronization of spiking among neurons is influenced by these weights, allowing for the generation of sequences of spikes that are modulated over time. The patterns submitted to the network are characterized by the sequences of spikes produced.

Career Highlights

Le Tan Thanh Tai is associated with the company Société de Commercialisation des Produits de la Recherche Appliquée Socpra Sciences et Génie S.E.C. His work at this organization has allowed him to explore and develop advanced technologies in neural networks and artificial intelligence.

Collaborations

Some of his notable coworkers include Jean Rouat and Ramin Pichevar. Their collaboration has likely contributed to the innovative environment that fosters the development of cutting-edge technologies.

Conclusion

Le Tan Thanh Tai's contributions to the field of spiking neural networks exemplify the innovative spirit of modern inventors. His patent reflects a significant advancement in pattern recognition technology, showcasing the potential of artificial intelligence in various applications.

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