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Applied Brain Research

Applied Brain Research is at the forefront of artificial intelligence innovation, committed to transforming various technological domains through their cutting-edge AI solutions. The company focuses on developing advanced AI chips that provide high performance with efficiency, notably in time-series data processing. These solutions are particularly beneficial in sectors such as voice-enabled interfaces, biomedical monitoring, and more. Their flagship product, the TSP1 chip, exemplifies their dedication to expanding the possibilities within AI technology. This neural network accelerator delivers remarkable performance with ultra-low power consumption, aiming to redefine AI capabilities in battery-operated devices. The TSP1 is specifically designed to handle a broad spectrum of sensor signal applications, supporting powerful state-space networks. Applied Brain Research is driven by a pursuit of innovation, evident in their breakthrough technology that enables intuitive, real-time voice interfaces and other advanced features in various devices. With their AI chips, ABR aims to unlock new potentials for product advancement, catering to diverse applications from smart home systems to wearable technologies. Read more

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TSP1 Neural Network Accelerator

The TSP1 Neural Network Accelerator is a state-of-the-art AI chip designed for versatile applications across various industries, including voice interfaces, biomedical monitoring, and industrial IoT. Engineered for efficiency, the TSP1 handles complex workloads with minimal power usage, making it ideal for battery-powered devices. This AI chip is capable of advanced bio-signal classification and natural voice interface integration, providing self-contained processing for numerous sensor signal applications. A notable feature is its high-efficiency neural network processing element fabric, which empowers signal pattern recognition and other neural network tasks, thereby reducing power, cost, and latency. The TSP1 supports powerful AI inference processes with low latency, enabling real-time applications like full vocabulary speech recognition and keyword spotting with minimal energy consumption. It's equipped with multiple interfaces for seamless integration and offers robust on-chip storage for secure network and firmware management. The chip is available in various packaging options to suit different application requirements.

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