En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep Learning, así como el uso de la fusión sensorial de forma eficiente utilizando dichos mecanismos. Para empezar, se realiza un análisis y estudio de los lenguajes de programación paralela actuales, así como de los mecanismos de...
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April 24, 2018 (v1)PublicationUploaded on: March 27, 2023
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January 23, 2024 (v1)Publication
As localization represents the main core of various wireless sensor network applications, several localization algorithms have been suggested in wireless sensor network research. In this article, we put forward an iterative bounding box algorithm enhanced by a Kalman filter to refine the unknown node's estimated position. In fact, several...
Uploaded on: January 26, 2024 -
February 5, 2020 (v1)Publication
This paper describes the software and FPGA implementation of a Retinal Ganglion Cell model which detects moving objects. It is shown how this processing, in conjunction with a Dynamic Vision Sensor as its input, can be used to extrapolate information about object position. Software-wise, a system based on an array of these of RGCs has been...
Uploaded on: December 4, 2022 -
January 31, 2020 (v1)Publication
Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural Networks (CNN) are demanding significant accuracy for classification tasks. Numerous hardware accelerators have populated during the last years to improve CPU or GPU based solutions. This technology is commonly...
Uploaded on: March 27, 2023 -
January 31, 2020 (v1)Publication
This demonstration shows how object detection and tracking are possible thanks to a new implementation which takes inspiration from the visual processing of a particular type of ganglion cell in the retina.
Uploaded on: December 5, 2022 -
December 26, 2019 (v1)Publication
This demonstration shows a Dynamic Vision Sensor able to capture visual motion at a speed equivalent to a highspeed camera (20k fps). The collected visual information is presented as normalized histogram to a CNN accelerator hardware, called NullHop, that is able to process a pre-trained CNN to play Roshambo against a human. The CNN designed...
Uploaded on: December 4, 2022 -
April 3, 2023 (v1)Publication
This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called Edge-DRNN designed for portable edge computing. EdgeDRNN adopts the spiking neural network inspired delta network algorithm to exploit temporal sparsity in RNNs. It reduces off-chip memory access by a factor of up to 10x with tolerable...
Uploaded on: April 14, 2023 -
April 4, 2023 (v1)Publication
Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for real-time applications such as IoT, robotics, and human machine interaction. We propose a lightweight Gated Recurrent Unit (GRU)-based RNN accelerator called EdgeDRNN that is optimized for low-latency edge RNN inference with...
Uploaded on: April 14, 2023 -
February 14, 2020 (v1)Publication
Neuromorphic engineering takes inspiration from biology to solve engineering problems using the organizing principles of biological neural computation. This field has demonstrated success in sensor based applications (vision and audition) as well in cognition and actuators. This paper is focused on mimicking an interesting functionality of...
Uploaded on: December 4, 2022 -
February 13, 2020 (v1)Publication
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which take inspiration from the hierarchical structure of the visual cortex, to form deep layers of convolutional operations, along...
Uploaded on: December 4, 2022 -
February 5, 2020 (v1)Publication
Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process an input stimulus from a scene, and the low power consumption of these kind of solutions. Event-based systems only perform sum operations instead of sum of products of framebased systems. In this work an upgrade of a...
Uploaded on: March 27, 2023 -
April 25, 2020 (v1)Publication
Image processing is a fundamental operation in many real time applications, where lots of parallelism can be extracted. Segmenting the image into different connected components is the most known operations, but there are many others like extracting the region adjacency graph (RAG) of these regions, or searching for features points, being...
Uploaded on: December 4, 2022 -
November 11, 2022 (v1)Publication
El mundo ha cambiado desde la aparición del nue vo virus de la familia de los coronavirus (COVID-19), el cual fue declarado pandemia en tan sólo unos po cos meses. El COVID-19 ha tenido un alto impacto en todos los ámbitos conocidos, incluida la docencia. Las medidas de seguridad impartidas por las autorida des sanitarias implicaron una...
Uploaded on: December 4, 2022 -
January 31, 2020 (v1)Publication
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which take inspiration from the hierarchical structure of the visual cortex, to form deep layers of convolutional operations, along...
Uploaded on: December 2, 2022 -
November 10, 2022 (v1)Publication
El reciente Grado en Ingeniería de la Salud se originó con el planteamiento de cubrir la carencia de conoci miento sobre la rama sanitaria de un Ingeniero Infor mático. Es en dicho grado donde, de forma optativa, el alumno cursa la asignatura Sistemas de Rehabilitación y Ayuda a la Discapacidad, que tiene un papel funda mental para el diseño de...
Uploaded on: March 24, 2023 -
September 11, 2023 (v1)Publication
This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of Address-Event-Representation sensors and tools. The target application is the lip reading of several keywords for different machine learning applications, such as digits, robotic commands, and auxiliary rich phonetic short...
Uploaded on: October 11, 2023