Synopsys, Inc. announced its collaboration with SiMa.ai to bring its machine learning inference at scale to the embedded edge. Through this engagement, SiMa.ai has adopted key products from SynopsysDesignWare® IP, Verification Continuum® Platform, and Fusion Design Platform™ for the development of their MLSoC™, a purpose-built machine-learning platform targeted at specialized computer vision applications, such as autonomous driving, surveillance, and robotics. SiMa.ai selected Synopsys due to its expertise in functional safety, complete set of proven solutions and models, and silicon-proven IP portfolio that will help SiMa.ai deliver high-performance computing at the lowest power. With Synopsys' automotive-grade solutions, SiMa.ai can accelerate their SoC-level ISO 26262 functional safety assessments and qualification while achieving their target ASILs. Since SiMa.ai's inception it has strategically collaborated with Synopsys to support all aspects of their MLSoC architecture design and verification. The Synopsys Fusion Design Platform solutions enable optimized implementation, including: Design Compiler® synthesis solution, PrimeTime® for timing signoff, PrimePower for power signoff, Formality® equivalence-checking solution. The hardware and software verification solutions from the Verification Continuum platform enable scalable SoC verification, including: Virtualizer™ virtual prototyping for earlier and faster software development, VCS® simulation with the smallest memory footprint ZeBu® Server for system verification, benchmarking, and power analysis. Synopsys' high-quality DesignWare IP enables rapid development of SiMa.ai's MLSoC, including: DesignWare ARC® Embedded Vision Processor IP, DesignWare MIPI, DDR, and PCI Express IP solutions, DesignWare Foundation IP and DesignWare Security IP.