El futuro del AI en el borde y las posibilidades infinitas
La integración del AI en el borde, o AI en el borde, representa un cambio de paradigma. A diferencia de los modelos tradicionales de AI, que se encuentran centralizados en…
“IA en el borde” translates to “AI at the edge.” This term refers to the deployment and application of artificial intelligence (AI) technologies at the edge of a network, rather than relying on centralized data centers. In edge computing, data processing occurs closer to the source of data generation, such as IoT devices or sensors, which can lead to faster data processing, reduced latency, and improved real-time decision-making. This approach is particularly beneficial for applications that require immediate responsiveness, such as autonomous vehicles, smart cities, and industrial automation. The phrase emphasizes the integration of AI capabilities into local devices, enabling them to analyze and act on data instantly, thus enhancing functionality and efficiency without the need for constant connectivity to the cloud.
La integración del AI en el borde, o AI en el borde, representa un cambio de paradigma. A diferencia de los modelos tradicionales de AI, que se encuentran centralizados en…