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Applied Brain Research

Applied Brain Research (ABR) is at the forefront of artificial intelligence technology, focusing specifically on innovative AI chip solutions. Their products are designed to deliver high performance with exceptional power efficiency, catering to a range of applications, from voice interfaces to biomedical monitoring. ABR's TSP1 chip is heralded as a game-changing neural network accelerator, enabling cutting-edge performance in AI tasks with minimal energy consumption, making it an ideal solution for battery-operated devices. Driven by a commitment to push technological boundaries, ABR utilizes advanced state-space model networks and a pioneering Legendre Memory Unit (LMU). These innovations are celebrated for their data efficiency, particularly in time series data processing, establishing new industry standards. The merging of superior model scaling and enhanced battery management showcases ABR's capability to revolutionize edge computing, IoT, and various other sectors. With their technology, ABR aspires to redefine the AI landscape by making AI-driven applications more efficient and accessible. This strategic approach supports powerful state-space networks that facilitate complex AI processing with minimal power usage. The continual development and research in AI chip solutions position ABR as a significant player in the advancement of AI infrastructure worldwide, emphasizing their role in the evolving AI ecosystem. Read more

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TSP1 Neural Network Accelerator

The TSP1 Neural Network Accelerator by Applied Brain Research is a standout in the realm of AI chips, epitomizing advanced AI capabilities with exceptional efficiency. It handles complex workloads with ultra-low power consumption, making it an optimal choice for battery-powered devices. Key applications include enabling natural voice interfaces and bio-signal classification, pushing performance boundaries while ensuring low energy use. This chip is built on cutting-edge state-space neural network models, specifically the groundbreaking Legendre Memory Unit (LMU), which sets new standards in time series data processing. It integrates neural network processing elements for powerful signal pattern recognition, facilitating lower power, cost, and latency across applications. The TSP1 is tailored for the edge AI hardware landscape, suitable for AR/VR, smart home environments, and more. Technologically advanced, the TSP1 can independently process a wide array of sensor signal applications, maintaining high efficiency in real-time processing. Its robust architecture supports secure speech to text recognition and other sensory AI functions with low latency, reinforcing its capability as a leader in AI chip design. Offering a rich support matrix for audio inputs and communication interfaces, the TSP1 is geared to meet the rising demands of next-gen AI applications, delivering unparalleled data efficiency and scalability.

Applied Brain Research
24 Views
TSMC
28nm
AI Processor, Audio Interfaces, Audio Processor, DSP Core, Embedded Memories, IoT Processor
View Details Datasheet
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