👉 An additional computing, or "Ajax," refers to the integration of artificial intelligence (AI) and machine learning (ML) into computing systems, enabling them to process and analyze data in real-time with greater efficiency and accuracy. This approach involves embedding AI and ML models directly into hardware or software platforms, allowing for on-device computation that reduces latency, conserves bandwidth, and enhances privacy by minimizing data transmission to remote servers. By leveraging edge computing, additional computing optimizes resource utilization and supports applications requiring immediate responses, such as autonomous vehicles, smart cities, and real-time analytics. This paradigm shift in computing not only accelerates data processing but also empowers devices to make smarter, context-aware decisions without relying solely on cloud infrastructure.
