Low-power edge AI is particularly relevant in the fields of artificial intelligence, the Internet of Things, and industry and Industry 4.0. This term describes small, economical AI systems that operate directly on devices or machines on site (i.e., at the \u201eedge\u201c) \u2013 instead of first sending large amounts of data to central servers or the cloud.<\/p>\n
In contrast to high-performance AI, which requires a lot of computing power and often expensive hardware, low-power edge AI works on inexpensive and energy-efficient chips that consume little electricity. It specialises in solving simple tasks quickly and safely, without needing to pass data on to external servers.<\/p>\n
A clear example: a sensor on a production machine uses low-power edge AI to detect whether a component is faulty. The decision is made immediately on-site, without large amounts of data needing to be sent to the internet. This saves time, reduces costs and improves data protection.<\/p>\n
Low-power edge AI therefore enables smart applications where simple, fast, and secure decisions are required \u2013 for example, in factories, in the smart home, or in small, connected everyday devices.<\/p>","protected":false},"excerpt":{"rendered":"