2 Introduction 1 Thesis statement: AI is reshaping the world of work, presenting both threats through automation and opportunities via job creation. The ultimate impact depends on how society, governments, and industries adapt to these changes. 2 Context: Rapid advancements in AI (e.g., machine learning, robotics, generative AI) are influencing tasks previously thought to be…

2 What Is a Digital Twin? A digital twin is a dynamic, real-time digital counterpart of a physical entity. It integrates data from sensors, historical records, and simulations to mirror and predict the behaviour of its real-world counterpart. This allows for enhanced decision-making, predictive maintenance, and process optimization. (What is digital-twin technology? McKinsey & Company,…

2 Innovative Health Monitoring Wearables 1 Smart Insoles for Gait Analysis: Researchers have developed self-powered insoles equipped with 22 sensors that convert walking pressure into electrical signals. These insoles can detect early signs of dementia, orthopedic issues, and lumbar disc problems by analyzing gait patterns. The data is transmitted to a smartphone app, providing visualizations…

Recent advancements in fusion energy research have brought us closer to realizing clean, sustainable power. Here are some notable developments: (Instrucciones para fabricar el Sol: así se ha acelerado la carrera para conseguir energía con la fusión nuclear) 2 Scientific Breakthroughs 1 Inertial Fusion Amplifier Schemes: Researchers have proposed innovative amplifier designs for inertial confinement…

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….