Our project is a pioneering partnership between Rigpa Ltd and Imagine EMEA Ltd. We are embarking on an exciting journey to revolutionize the immersive spatial computing arena by leveraging the cutting-edge technology of neuromorphic AI chips. Rigpa Ltd specializes in the design of neuromorphic chips that accelerate AI processing with dramatically increased energy efficiency. On the other hand, Imagine EMEA Ltd aims to lead XR (Extended Reality) technology industry by pushing the boundaries of immersive spatial experiences. The limitations of traditional AI chips have been a persistent bottleneck in the growth and performance of XR applications, impacting real-time experiences and immersion. Our innovative project aims to address this challenge by integrating Rigpa Ltd's high-speed, low-power neuromorphic chips with Imagine's XR technology. This initiative will not only break the barriers of current XR performance but also enrich the user experience by providing hyper-intuitive controls and lifelike VR, AR, and holography. The project's outcomes promise to drive the mass adoption of these immersive technologies, potentially replacing traditional devices such as smartphones and PCs. We are confident that our collaboration will pioneer new advancements in both AI and XR technology, fostering widespread adoption of AI across various sectors. This project is a prime example of how combining different technologies can open up unprecedented opportunities and forge the path for the next generation of digital experiences. Please note that all aspects of the project are being conducted with the utmost respect for intellectual property rights and in adherence to the highest standards of data privacy and security.

Our project focuses on creating an innovative System-on-Chip (SoC) design that integrates an event-based photodetector sensor with a neuromorphic processor. This approach tackles the latency, energy inefficiency, and complexity issues commonly found in traditional sensor and processor architectures. The SoC design employs advanced chiplet technology for scalable and cost-effective fabrication, optimizing performance and cost. The integrated SoC solution offers several key advantages: 1. Enhanced Latency and Energy Efficiency: By merging the sensor and processor into one module, our design reduces latency and energy consumption. The event-based sensor captures data only when significant events occur, further decreasing energy usage and data processing requirements. 2. Advanced Neuromorphic Processing: The processor is designed to imitate biological neural networks, allowing efficient, low-power processing of sensor data. This architecture is particularly suitable for edge computing applications, where low latency and energy efficiency are crucial. 3. Scalable Chiplet Technology: Utilizing cutting-edge chiplet packaging technology enables us to fabricate the SoC design at different process nodes, striking a balance between performance, energy efficiency, and affordability. Our SoC design targets a wide range of applications, including autonomous vehicles, robotics, IoT devices, and smart city infrastructure, addressing the growing demand for high-performance, energy-efficient sensors and processors. With the edge computing market expected to exceed $15 billion by 2025, our innovative SoC solution is well-positioned to capture a significant share of this expanding market. Offering a unique, affordable, and energy-efficient solution, our project aims to reshape the sensor and processor landscape, providing a cutting-edge alternative to traditional architectures. Upon completion, our integrated SoC design will contribute to the development of more efficient, responsive, and sustainable technologies, driving advancements in various sectors and improving the overall quality of life.