2 What Are They? Personalized AI companions are intelligent digital entities designed to interact with users in emotionally and contextually aware ways. These companions adapt to a user’s preferences, behaviours, and goals, providing companionship, assistance, and sometimes emotional support. They use natural language processing, machine learning, and context-aware memory to build ongoing relationships with users….
2 What is 5G Advanced? 5G Advanced is the next evolution of 5G, defined by 3GPP Release 18 and beyond, aiming to enhance and extend 5G capabilities before 6G arrives around 2030. 3 Key Goals of 5G Advanced: 1 Higher performance in throughput, latency, and reliability. 2 Better energy efficiency and network automation using AI/ML….
2 Overview AI-powered code generation and debugging leverage machine learning models especially large language models (LLMs) to assist developers in writing, completing, and fixing code. These systems enhance productivity, reduce human error, and accelerate software development cycles. 3 Key Components 4 Code Generation 1 AI can generate entire functions, classes, or even applications from natural…
As AI becomes more integrated into sensitive areas like healthcare, finance, and personal devices, data privacy has become a major concern.Federated Learning offers a powerful solution allowing AI models to learn from data without that data ever leaving your device. 2 What Is Federated Learning? Federated Learning (FL) is a machine learning technique where a…
As artificial intelligence (AI) becomes more powerful and widespread, a new frontier is emerging: Edge AI running AI algorithms directly on devices like smartphones, sensors, drones, and IoT devices, without relying on constant cloud access. 2 What Is Edge AI? Edge AI refers to the deployment of AI models on hardware devices that operate at…
In the fast-evolving field of deep learning, Transfer Learning and Pretrained Models have become game-changers. These concepts allow us to leverage the power of models trained on massive datasets to solve new tasks with less data and computational power. Let’s dive into what these terms mean and how they work. 2 What is Transfer Learning?…
Deep learning has revolutionized fields like computer vision, natural language processing, and speech recognition. At the heart of this revolution are powerful architectures particularly Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers 2 Convolutional Neural Networks (CNNs) What It Is:A Convolutional Neural Network is a deep learning model designed to process grid-like data…
(Decision Trees, SVM, KNN, and More) At the heart of machine learning (ML) are algorithms the set of rules and techniques that enable computers to learn from data and make decisions.While there are hundreds of algorithms, a few fundamental ones form the building blocks of the field. Let’s explore three core types: Decision Trees, Support…
In today’s hyperconnected world, it’s nearly impossible to escape screens. From smartphones and tablets to smartwatches and VR headsets, our devices have become extensions of ourselves. But as our reliance on technology grows, so does a deeper concern: Are our devices actually rewiring our brains and at what cost? 2 What Is Tech Addiction? Tech…
From traffic lights that adapt in real time to public Wi-Fi networks and app-connected garbage bins, smart cities promise a future of smoother, safer, and more efficient urban living. Powered by sensors, AI, big data, and interconnected devices, these cities are designed to optimize everything from transportation to energy use. 2 The Allure of Smart…