2 What Is AI Governance? AI governance refers to the frameworks, policies, standards, and oversight mechanisms used to guide the development, deployment, and use of artificial intelligence in safe, ethical, transparent, and accountable ways. It includes both: 1 Internal governance: Within organizations (responsible AI practices, compliance frameworks) 2 External governance: Legal and regulatory oversight by…
2 What Is Generative Video? Generative video creation uses AI models to synthesize video content—either fully from scratch (text-to-video) or by modifying/enhancing existing footage. It’s powered by advances in generative adversarial networks (GANs), diffusion models, and large language–vision models. These models can generate realistic or stylized videos from: 1 Text prompts 2 Static images 3…
2 What is Edge AI? Edge AI refers to deploying artificial intelligence algorithms directly on devices located at the “edge” of the network close to the data source rather than in centralized cloud servers. These devices can process data locally, often in real-time, without relying on constant internet connectivity. Examples: Smartphones, drones, cameras, IoT devices,…
2 What is Synthetic Data? Synthetic data is artificially generated data that mimics real-world data. It’s created using algorithms, simulations, or generative models (like GANs or diffusion models) instead of being collected from real-world events. It can include images, videos, text, audio, tabular data, or even sensor readings. 3 Key Use Cases 1 Computer Vision:…
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?…