The growing investment in the use of artificial neural networks for end-user services, which require low latency and high responsiveness, make it desirable to have dedicated hardware accelerators for inference. FPGA ...

In astronomy, the light emitted by an object travels through the vacuum of space and then the turbulent atmosphere before arriving at a ground based telescope. By passing through the atmosphere a series of turbulent layers ...

Currently, modern Artificial Neural Networks (ANN), according to their complexity, require a workstation for processing all their input data. This type of processing architecture requires that the field device is located ...

The growth of computer networks caused by the evolution of hardware devices and software solutions has made media such as email, chat room, IP telephony, and others essential for allowing a greater exchange of information ...

The scope of this paper is the development of artificial neural network in hardware, to solve problems of pattern recognition and classification, using VHDL. Two different networks were implemented, with the objective of ...

Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequate for hardware implementation and, consequently, for their employment on a variety of applications as real-time image ...

This study shows the implementation and the embedding of an Artificial Neural Network (ANN) in hardware, or in a programmable device, as a field programmable gate array (FPGA). This work allowed the exploration of different ...