Articles

Reinforcement Learning Robot
Digital Twin

A discussion of Learning Algorithms for Robotic application

1 – Introduction Generally we are used to see articles or demos on deep/machine learning methods just on video applications. In this article we want review and apply the current AI into future trends for robotics. Let say that there is not a general definition for AI, but the one we selected is that a

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people using face mask and social distancing for covid19 (Designed by studiogstock / Freepik)
Machine Learning

MuseBox applied to Social Distancing

What is MuseBox? MuseBox is a software platform (Software + Hardware) based on FPGA for real-time analysis for audio and video streams. MuseBox was created for AV Broadcasting applications, but it can be used for every multimedia system analysis. Real-time computing is a computer science term for hardware and software systems subject to a “real-time constraint”, for example from event to system response. Real-time

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Internet Of Things
FPGA

IoT with PYNQ

IoT is an acronym for the Internet of Things, it represents a new working model based on connected devices which is used in modern companies to create new revolutionary applications. The term [1] was coined to Kevin Ashton nowadays co-founder of Auto-ID Labs who used it for the first time in 1999 in a proposal

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PYNQ logo
FPGA

Advanced PYNQ example on GitHub

Pynq is a famous framework that allows programmers to directly work with FPGA using Python language, which is very intuitive, so let’s take a look at it. When we want to accelerate a specific software portion, it is generally difficult to interface to it correctly, because you have to synchronize the CPU (generally referred to

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FPGA

AI Edge Platform on ZynQ FPGA

Artificial Neural Networks Artificial neural networks (ANN) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems “learn” to perform tasks by considering examples, generally without being programmed with task-specific rules; so you can get it to learn things, recognize patterns, and make decisions in a “human-like” way. The patterns recognized are numerical,

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Alveo U200 for SPS 2019
Digital Twin

Digital Twin with Xilinx Alveo™ and Vitis™ at SPS trade show (SPS Drives 2019).

https://www.linkedin.com/pulse/digital-twin-xilinx-alveo-vitis-sps-trade-show-giulio-corradi-1f/ After 30 years of SPS IPC Drives, the trade show changed the name into SPS – smart production solutions reflecting the digital transformation that occurs in automation technology. Digital Twin (DT) in relation to Cyber-Physical-Systems (CPS) are among the main themes of this digital transformation anticipated by the Industry 4.0 initiative. According to DirectIndustry e-magazine interview

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