👉 Armed computing, also known as embedded or on-device AI, refers to the integration of artificial intelligence capabilities directly into hardware devices like smartphones, IoT gadgets, and autonomous vehicles. This approach allows these devices to process data locally rather than relying solely on cloud-based systems, enabling faster response times and improved privacy since sensitive information doesn't need to be transmitted over networks. Armed computing involves specialized hardware components, such as AI accelerators or neural processing units, that efficiently execute machine learning algorithms, making real-time decision-making possible. This localized processing is crucial for applications requiring immediate action, like self-driving cars navigating traffic or smart home systems adjusting settings based on user preferences. However, it also presents challenges in terms of power consumption and hardware complexity, as these devices must balance performance with energy efficiency and cost-effectiveness.
