Ai Machine Learning Simplifying Iot Antenna Integration Ignion What is the outcome of leveraging machine learning for antenna integration in iot? the result was the launch of our antenna intelligence cloud™ early in 2022, based on the forward thinking and many years of preparation and dedication by our r&d and engineering teams. Machine learning is used to complement computationally expensive electromagnetic real world lab simulations with relatively cost effective requests to a cloud based model. the ultimate self learning antenna design tool for your iot project.
Ai Machine Learning Simplifying Iot Antenna Integration Ignion Our cloud product manager, aitor moreno laparte, explains how you can leverage the immense potential of machine learning and neural networks to accelerate your…. Interactive design and meeting the project’s rf specifications now become as easy as building with lego. the real time drag and drop functionality with immediate performance feedback allows developers to tweak the design and decide on antenna components, placement, clearance, and pcb size. What is the outcome of leveraging machine learning for antenna integration in iot? the result was the launch of ignion antenna intelligence cloud™ early in 2022, based on the forward thinking and many years of preparation and dedication by ignion r&d and engineering teams. Oxion integrates proprietary algorithms from nearby ai ml firm basetis into ignion’s antenna intelligence cloud, simplifying the process for developers regardless of their rf expertise. this initiative aligns with ignion’s commitment to reducing costs and accelerating innovation in the iot market.
Ai Machine Learning Simplifying Iot Antenna Integration Ignion What is the outcome of leveraging machine learning for antenna integration in iot? the result was the launch of ignion antenna intelligence cloud™ early in 2022, based on the forward thinking and many years of preparation and dedication by ignion r&d and engineering teams. Oxion integrates proprietary algorithms from nearby ai ml firm basetis into ignion’s antenna intelligence cloud, simplifying the process for developers regardless of their rf expertise. this initiative aligns with ignion’s commitment to reducing costs and accelerating innovation in the iot market. However, ignion’s virtual antenna® technology has introduced a new frontier, making antenna design accessible even for ground up iot device construction. harnessing the pervasive nature of cloud computing and machine learning (ml), ignion is further democratizing rf antenna design. In tandem with the hardware, by exploiting the ubiquity of artificial intelligence, cloud computing, and machine learning (ml), ignion is further democratizing rf antenna design to not only tremendously lower the barriers to entry but also accelerate antenna design via its amazon web services (aws) hosted oxion™ platform. Oxiontm – simplifies antenna integration, decreasing time to market for all device makers sant cugat de vallès embedded world, nuremberg 09 april 2024 – ignion, a barcelona based iot antenna innovator, announced today the launch of oxiontm, a development platform to shorten the design time of wireless devices. powered by aws, iot device developers can leverage the power of ai ml in real. In this blog, we’ll explore the impact of ai antenna design, showcasing how tools like ignion’s virtual antenna® technology and oxion™, our ai powered platform, are simplifying this critical step in iot device development.
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