While AI has the potential to bring many benefits, it also poses the risk of job displacement and economic inequality, as machines become capable of performing tasks that were previously done by humans.

Automation is likely to have a complex and multifaceted impact on the workforce, leading to both job losses and the creation of new jobs, as well as a shift towards higher-skilled and more creative roles.

Radio-frequency identification (RFID) technology is commonly used in IoT applications, allowing objects to be identified and tracked wirelessly using radio waves.

Extended reality (XR) is a term used to encompass all technologies that blend the physical and digital worlds, including augmented reality (AR), virtual reality (VR), and mixed reality (MR).

While autonomous vehicles have the potential to improve mobility and accessibility for all, they also present challenges related to technical limitations, safety concerns, and ethical and legal issues.

Machine learning (ML) is a subset of artificial intelligence (AI) that involves the use of data and algorithms to enable computers to learn and make predictions without being explicitly programmed.

Virtual reality (VR) technology creates immersive virtual environments that can be experienced using a headset or other specialized equipment, allowing users to interact with digital objects and environments.

Human augmentation refers to the use of technology to enhance human capabilities, such as strength, speed, intelligence, or sensory perception, beyond natural limits.

3D modeling and rendering techniques are used to create realistic and interactive digital representations of real-world objects and environments, often used in video games, movies, and architectural visualization.

Machine learning (ML) involves the ability of machines to learn and improve their performance over time without being explicitly programmed, by identifying patterns and relationships in data.

3D modeling and rendering techniques are used to create digital representations of real-world objects and environments that can be manipulated and interacted with in a virtual space.

The Internet of Things (IoT), machine-to-machine (M2M) communication, and sensor networks all involve the use of technology to connect and communicate with devices and objects over a network.

Virtual reality (VR) technology creates immersive virtual environments that can be experienced using a headset or other specialized equipment, allowing users to interact with digital objects and environments.

Natural language processing (NLP) involves the ability of machines to understand and respond to human language, enabling them to communicate with humans in a natural way.

Augmented reality (AR) technology creates realistic and interactive digital representations of real-world objects and environments that can be overlaid onto the real world, allowing users to interact with digital content in their physical surroundings.