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aiWare represents aiMotive's advanced hardware intellectual property core for automotive neural network acceleration, pushing boundaries in efficiency and scalability. This neural processing unit (NPU) is tailored to meet the rigorous demands of automotive AI inference, providing robust support for various AI workloads, including CNNs, LSTMs, and RNNs. By achieving up to 256 Effective TOPS and remarkable scalability, aiWare caters to a wide array of applications, from edge processors in sensors to centralized high-performance modules.\n\nThe design of aiWare is particularly focused on enhancing efficiency in neural network operations, achieving up to 98% efficiency across diverse automotive applications. It features an innovative dataflow architecture, ensuring minimal external memory bandwidth usage while maximizing in-chip data processing. This reduces power consumption and enhances performance, making it highly adaptable for deployment in resource-critical environments.\n\nAdditionally, aiWare is embedded with comprehensive tools like the aiWare Studio SDK, which streamlines the neural network optimization and iteration process without requiring extensive NPU code adjustments. This ensures that aiWare can deliver optimal performance while minimizing development timelines by allowing for early performance estimations even before target hardware testing. Its integration into ASIL-B or higher certified solutions underscores aiWare's capability to power the most demanding safety applications in the automotive domain.
aiData is a comprehensive data pipeline solution engineered to manage the extensive data needs of automated driving systems. This fully automated pipeline is designed to optimize the Machine Learning Operations (MLOps) workflow, from initial data collection and preparation to curation, annotation, and final validation. aiData minimizes human error by streamlining data handling processes, ensuring high-quality recordings, precise annotation, and thorough data curation, all crucial for developing and validating AI-based ADAS (Advanced Driver Assistance Systems) and Autonomous Driving (AD) features.\n\nAt the heart of aiData is a sophisticated Versioning System that offers complete transparency and traceability throughout the data flow. This system allows for efficient dataset curation using metadata enrichment and advanced query capabilities. It can be deployed on-premises for enhanced security or in the cloud for effective collaboration across global teams, adapting to various use-case requirements.\n\nThe AI-powered annotator within aiData automatically tags sensor data, such as Lidar and camera inputs, with high precision, reducing the manual labor traditionally required in data annotation. Additionally, the aiData Recorder component is tailored for capturing diverse scenarios with precise calibration, ensuring data quality for subsequent AD development applications. Overall, aiData serves as a cornerstone for advancing automotive development, facilitating the smooth transition from data acquisition to AI deployment.
aiSim 5 is a premier simulation tool tailored for ADAS (Advanced Driver Assistance Systems) and automated driving validations. As the world's first ISO26262 ASIL-D certified simulator, aiSim 5 employs state-of-the-art AI-based digital twin technology. This enhances its capability to simulate complex driving scenarios with high precision, making it an ideal environment for testing AD systems. The simulator boasts a proprietary rendering engine that provides a deterministic and high-fidelity virtual reality where sensor simulations can cover diverse climatic and operational conditions, such as snow, rain, and fog, ensuring results are reproducible and reliable.\n\naiSim 5's architecture is designed for flexibility, allowing seamless integration with existing development toolchains, and thus minimizing the need for expensive real-world testing. It features a comprehensive 3D asset library that includes detailed environments, vehicles, and scenarios, which can be customized to generate synthetic data for testing. The solution supports multi-sensor simulations, providing a rich testing ground for developers looking to refine and validate their software stacks.\n\nThanks to its modular C++ and Python APIs, aiSim 5 can be easily deployed within any System under Test (SuT) and CI/CD pipeline, enhancing its adaptability across various automotive applications. Additionally, its open SDK facilitates developer customizations, ensuring aiSim 5 remains adaptable and user-friendly. With built-in scenario randomization, users can efficiently simulate a wide array of driving conditions, making aiSim 5 a powerful tool for ensuring automotive system safety and accuracy.
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