ListenAI's AI-based processors target a wide range of applications that use audio, voice and vision to enhance the user experience across automotive, home appliances, education and office, consumer electronics, and other fields – this agreement is intended to enhance its portfolio of Edge AI processors.
With demand for smarter, more connected devices - whether voice-controlled appliances, intelligent wearables, automotive systems and IoT devices - edge AI applications increasingly require better and seamless connectivity.
ListenAI focuses on the deep integration of artificial intelligence algorithms with proprietary chip designs and its adoption of Ceva-Waves Wi-Fi 6 IP for their new Wi-Fi 6 SoC ensures that these devices can meet the demand for improved levels of performance, reliability, and power efficiency.
"Working together with Ceva has enabled us to bring enhanced wireless connectivity to our edge AI portfolio, cost-effectively and efficiently," said Shao Zhiyong, Chief Technology Officer at ListenAI Technology. "This collaboration empowers us to deliver exceptional performance and seamless connectivity in our AI-driven products, setting a new standard for user experience in the rapidly evolving edge AI era."
"We believe that robust and efficient wireless connectivity is essential for the performance of edge AI devices," said Tal Shalev, vice president and general manager of the wireless IoT business unit at Ceva. "Our Wi-Fi 6 IP enables ListenAI's edge AI portfolio to seamlessly connect, process, and respond in real time, empowering smarter interactions and delivering the reliability, speed, and efficiency demand from intelligent devices."
The enhanced connectivity solutions developed through this partnership will expand ListenAI's product offerings, combining robust wireless capabilities with advanced AI-driven features and will look to address the growing need for intelligent devices to process data at the edge, reducing latency and ensuring reliable performance in applications ranging from autonomous vehicles to smart homes.
