Integrated Event-Based SoC: Revolutionizing Sensor and AI Processor Performance with Low-Latency, Energy-Efficient Neuromorphic Computing

基于事件的集成 SoC：通过低延迟、节能的神经拟态计算彻底改变传感器和 AI 处理器的性能

• 批准号: 10072308
• 金额: $ 6.37万
• 依托单位: RIGPA LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10072308
• 关键词: Integrated; Event; Based; SoC; Revolutionizing

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.

我们的项目着重于创建创新的芯片系统（SOC）设计，该设计将基于事件的光电探测器传感器与神经形态处理器集成在一起。这种方法可以解决传统传感器和处理器体系结构中常见的潜伏期，效率低下和复杂性问题。 SOC设计采用了高级chiplet技术来进行可扩展和成本效益的制造，优化性能和成本。集成的SOC解决方案提供了几个关键优势：1。提高潜伏期和能源效率：通过将传感器和处理器合并到一个模块中，我们的设计减少了延迟和能耗。基于事件的传感器只有在发生重大事件的情况下才能捕获数据，从而进一步降低能量使用和数据处理要求2。高级神经形态处理：处理器旨在模仿生物神经网络，从而可以对传感器数据进行有效的低功率处理。该体系结构特别适合在低潜伏期和能源效率至关重要的边缘计算应用中。3。可扩展的芯片技术：利用最先进的芯片包装技术使我们能够在不同的过程节点上制造SOC设计，在性能，能源效率和可负担性之间取得平衡。我们的SOC设计针对广泛的应用，包括自动驾驶汽车，机器人，机器人设备，IoT设备，IoT设备以及智能城市基础结构，并提高了能量的增长效果，以高效率和高效效果，以求解高效的效果。到2025年，由于边缘计算市场预计将超过150亿美元，我们的创新SOC解决方案占据了良好的位置，可以捕获这个不断扩展的市场的很大一部分。提供一个独特的，负担得起的和节能的解决方案，我们的项目旨在重塑传感器和处理器景观，从而提供传统建筑的尖端替代方案。完成后，我们综合的SOC设计将有助于开发更高效，响应和可持续的技术，推动各个领域的进步并提高整体生活质量。