What is Ambient Intelligence? Ambient Intelligence (AmI) refers to a vision of the future where environments are sensitive, adaptive, and responsive to the presence of humans. It involves integrating technology seamlessly into our surroundings to enhance our daily lives. Here are some key aspects of Ambient Intelligence: 1. Sensing and Perception: AmI environments are equipped… Continue reading Ambient Intelligence
Category: AI
Evolutionary Algorithms
What is an evolutionary algorithm? An evolutionary algorithm is an evolutionary AI based computer application that solves problems by employing processes that mimic the behaviors of living things. As such, it uses mechanisms that are typically associated with biological evolution, such as reproduction, mutation and recombination. Evolutionary algorithms function in a Darwinian-like natural selection process; the… Continue reading Evolutionary Algorithms
An Exploration of Generative Adversarial Networks (GANs)
Generative Adversarial Networks (GANs) have emerged as a revolutionary breakthrough in the field of artificial intelligence, transforming the way we approach creative tasks such as image generation, style transfer, and content creation. Conceived by Ian Goodfellow and his colleagues in 2014, Generative Adversarial Networks are a type of generative model designed to generate new, realistic… Continue reading An Exploration of Generative Adversarial Networks (GANs)
Haar Cascade Classifier
A Haar classifier, or a Haar cascade classifier, is a machine learning object detection program that identifies objects in an image and video. Haar Cascade classifiers are an effective way for object detection and in cases to confirm if the subject is facing straight to the camera in face recognition based applications. Haar Cascade is… Continue reading Haar Cascade Classifier
Local Binary Pattern
LBP’s simplicity, discriminative power, and computational efficiency make it a popular choice in various computer vision applications.It was first described in 1994. LBP is a type of visual descriptor that helps classify textures in images. It is a face recognition algorithm know for its performance and how it can recognize the face of a person from… Continue reading Local Binary Pattern
Decentralized Applications
DApps, short for Decentralized Applications, are software applications that run on a decentralized network of computers (often utilizing blockchain technology) rather than a single central server. These applications are designed to be open-source, transparent, and autonomous, with no central authority controlling the data or the application itself. Key feature of Dapps are: Decentralization: DApps operate… Continue reading Decentralized Applications
Hosting Of a Django Application Using Plesk webserver
To set up Django on Plesk: First of all, let’s check Python presence in the system. we can do it by issuing the command: python –version Install a Python package manager (under the “root” user): apt-get install python-pip It is common practice to have a separate virtual environment for each Python application. So, let’s install… Continue reading Hosting Of a Django Application Using Plesk webserver
AI in robotics
AI in robotics refers to the integration of artificial intelligence (AI) techniques and algorithms into robotic systems to enhance their capabilities, autonomy, and adaptability. This integration enables robots to perceive, reason, plan, and act in complex and dynamic environments. Some Key aspects of Ai in robotics are: Perception: AI algorithms enable robots to perceive and… Continue reading AI in robotics
Unleashing the Potential of Federated Learning: Collaborative AI without Compromising Privacy
In the era of data-driven AI, one of the most pressing challenges is how to leverage the collective knowledge contained in decentralized data sources while respecting user privacy and data sovereignty. Federated Learning emerges as a transformative solution, enabling collaborative AI without compromising privacy. In this article, we delve into the world of Federated Learning,… Continue reading Unleashing the Potential of Federated Learning: Collaborative AI without Compromising Privacy
The Rise of Edge Computing: Enhancing AI Performance at the Edge of the Network
In the ever-evolving landscape of technology, the emergence of edge computing has sparked a paradigm shift in how we process and analyze data. With the proliferation of Internet of Things (IoT) devices and the growing demand for real-time applications, edge computing has become a critical enabler for enhancing AI performance at the edge of the… Continue reading The Rise of Edge Computing: Enhancing AI Performance at the Edge of the Network