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aiWare stands out as a premier hardware IP for high-performance neural processing, tailored for complex automotive AI applications. By offering exceptional efficiency and scalability, aiWare empowers automotive systems to harness the full power of neural networks across a wide variety of functions, from Advanced Driver Assistance Systems (ADAS) to fully autonomous driving platforms. It boasts an innovative architecture optimized for both performance and energy efficiency, making it capable of handling the rigorous demands of next-generation AI workloads. The aiWare hardware features an NPU designed to achieve up to 256 Effective Tera Operations Per Second (TOPS), delivering high performance at significantly lower power. This is made possible through a thoughtfully engineered dataflow and memory architecture that minimizes the need for external memory bandwidth, thus enhancing processing speed and reducing energy consumption. The design ensures that aiWare can operate efficiently across a broad range of conditions, maintaining its edge in both small and large-scale applications. A key advantage of aiWare is its compatibility with aiMotive's aiDrive software, facilitating seamless integration and optimizing neural network configurations for automotive production environments. aiWare's development emphasizes strong support for AI algorithms, ensuring robust performance in diverse applications, from edge processing in sensor nodes to high central computational capacity. This makes aiWare a critical component in deploying advanced, scalable automotive AI solutions, designed specifically to meet the safety and performance standards required in modern vehicles.
aiData introduces a fully automated data pipeline designed to streamline the workflow of automotive Machine Learning Operations (MLOps) for ADAS and autonomous driving development. Recognizing the enormous task of processing millions of kilometers of driving data, aiData employs automation from data collection to curation, annotation, and validation, enhancing the efficiency of data scientists and engineers. This crafted pipeline not only facilitates faster prototyping but also ensures higher quality in deploying machine learning models for autonomous applications. Key components of aiData include the aiData Versioning System, which provides comprehensive transparency and traceability over the data handling process, from recording to training dataset creation. This system efficiently manages metadata, which is integral for diverse use-cases, through advanced scene and context-based querying. In conjunction with the aiData Recorder, aiData automates data collection with precise sensor calibration and synchronization, significantly improving the quality of data for testing and validation. The aiData Auto Annotator further enhances operational efficiency by handling the traditionally labor-intensive process of data annotation using sophisticated AI algorithms. This process extends to multi-sensor data, offering high precision in dynamic and static object detection. Moreover, aiData Metrics tool evaluates neural network performance against baseline requirements, instantly detecting data gaps to optimize future data collection strategies. This makes aiData an essential tool for companies looking to enhance AI-driven driving solutions with robust, real-world data.
aiSim is the world's first ISO26262 ASIL-D certified simulator, specifically designed for ADAS and autonomous driving validation. This state-of-the-art simulator captures the essence of AI-driven digital twin environments and sophisticated sensor simulations, key for conducting high-fidelity tests in virtual settings. Offering a flexible architecture, aiSim reduces reliance on costly real-world testing by recreating diverse environmental conditions like weather and complex urban scenarios, enabling comprehensive system evaluations under deterministic conditions. As a high-caliber tool, aiSim excels at simulating both static and dynamic environments, leveraging a powerful rendering engine to deliver deterministic, reproducible results. Developers benefit from seamless integration thanks to its modular use of C++ and Python APIs, making for an adaptable testing tool that complements existing toolchains. The simulator encourages innovative scenario creation and houses an extensive 3D asset library, enabling users to construct varied, detailed test settings for more robust system validation. aiSim's cutting-edge capabilities include advanced scenario randomization and simulation of sensor inputs across multiple modalities. Its AI-powered rendering streamlines the processing of complex scenarios, creating resource-efficient simulations. This makes aiSim a cornerstone tool in validating automated driving solutions, ensuring they can handle the breadth of real-world driving environments. It is an invaluable asset for engineers looking to perfect sensor designs and software algorithms in a controlled, scalable setting.
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