This article details Applied Brain Research's (ABR) successful seed funding round, highlighting their TSP1 State Space Accelerator chip designed for on-device voice AI, crucial for enabling real-time, low-latency machine learning applications at the edge. This development significantly impacts AI by bringing sophisticated voice processing capabilities directly to devices like AR glasses, robots, and wearables, removing reliance on cloud connectivity and improving responsiveness. The focus on edge AI voice processing promises to revolutionize industries dependent on real-time interactions and autonomous systems.
In retail & e-commerce, this edge AI voice processing allows for immediate and personalized customer service within physical stores without sending data to the cloud, creating a faster and more private customer experience. In manufacturing & industrial settings, it enables real-time voice command control of machinery and robots even in areas with limited or no network coverage, improving safety and efficiency.
Operational impact: For businesses in manufacturing & industrial, retail & e-commerce, this technology reduces latency in voice-activated applications, improving automation, human-machine interaction, and data security by keeping processing local. This technology could potentially change how operators perform day to day tasks, as well as reduce data collection errors and increase safety.