AI refers to computer systems that simulate human intelligence, while ML is a subset of AI where machines learn from data to improve their performance. Applications include predictive analytics, natural language processing, and image recognition.
A revolutionary computing model that leverages quantum mechanics to process information exponentially faster than traditional computers. It's expected to solve complex problems in cryptography, medicine, and material science.
A decentralized, secure ledger technology that records transactions across multiple computers. It's widely used in cryptocurrencies but has applications in supply chain management, finance, and secure data sharing.
The fifth-generation wireless technology promises faster data transfer speeds, reduced latency, and enhanced connectivity. It enables advancements in IoT, autonomous vehicles, and smart cities.
This technology brings computation closer to data sources (e.g., IoT devices), reducing latency and improving real-time processing. It's particularly useful for applications requiring immediate data analysis, like autonomous vehicles and remote monitoring.
A network of interconnected devices that communicate and share data. IoT enables smart homes, industrial automation, and improved healthcare monitoring.
A flexible, scalable approach to cybersecurity, ensuring that each device and access point has its security protocol. It's essential for managing security in distributed and hybrid environments.
AR overlays digital information in the real world, while VR immerses users in a simulated environment. They are used in gaming, training, education, and virtual tours.
This technology uses software robots to automate repetitive tasks, increasing efficiency and reducing human error in business processes.
Virtual replicas of physical systems or products used for simulations, testing, and monitoring. They help improve performance, maintenance, and design in industries like manufacturing and healthcare.
A branch of AI that enables computers to understand and interpret human language. It's used in chatbots, virtual assistants, and sentiment analysis.
A cloud computing model where cloud providers manage the infrastructure, allowing developers to focus on code. It's cost-effective and ideal for scaling applications quickly.
Containers package applications and their dependencies, ensuring consistent performance across different environments. Kubernetes is an orchestration tool that manages containerized applications, making it easier to deploy, scale, and maintain.
These platforms allow users to create applications with minimal or no coding, accelerating development and enabling non-developers to contribute.
Strategies that involve using multiple cloud services (public, private, or both) to improve flexibility, reduce costs, and avoid vendor lock-in.