Thank you, Luisa. Good afternoon, and thank you for joining our call today. Before we proceed, I want to let you know that last call, our co-founder and CTO, will be stepping down from the board of directors to become our chief technology adviser. He will continue to oversee our technology direction and development but without management responsibilities, and with user time commitments. Les and I have worked closely since 1994 across four companies. I am grateful that Les will continue as my close partner for over thirty-one years and beyond. He is truly the best I could wish for. I am happy he will have more time to pursue his passions, but I will definitely miss our daily conversations on various topics. Turning to our fiscal third quarter, we are reporting another strong quarter with both revenue and non-GAAP EPS exceeding expectations. We achieved record quarterly revenue of $108.5 million, slightly above the high end of our guidance range. Edge AI, which we define as a product that integrates one of our proprietary deep learning AI accelerators, was about 80% of our total revenue, representing our sixth consecutive quarter of record Edge AI revenue. We have increased our fiscal 2026 revenue guidance, which projects an all-time fiscal year total revenue record for Ambarella. With the strength in our average selling price and the breadth of demand, we are raising our fiscal 2026 revenue growth guidance to a range of 36% to 38%, or approximately $390 million at midpoint. This compares with our prior estimate provided on August 28 for 31% to 35% year-over-year growth, or approximately $379 million at midpoint. These results are very encouraging, but I am even more excited about the Edge AI activity ahead of us. There are three key factors behind our enthusiasm and our strong commitment to Edge AI. First, the breadth of applications demanding Edge AI technology in our product is expanding. Second, the AI performance requirement for our product roadmap is expected to continue to rise, driving robust new product cycles. Third, our ASP has been increasing, and in the long run, we continue to see an excellent opportunity to capture more value per design. I will elaborate on those points. First, AI at the edge is becoming more prevalent, driving an increasing breadth of applications in both enterprise and consumer-driven parts. Our Edge AI business started in enterprise security, followed by automotive safety, smart home, and telematics. More recently, the portable video market, which includes action cameras, panorama cameras, and body-worn cameras. Looking ahead, high-value shipments into the aerial drone market are expected to commence this quarter, representing just the beginning of our realization of the large robotic market opportunity. There is also strong interest from existing and new customers in our Edge infrastructure part and roadmaps, and we are committed to developing this incremental opportunity. In addition, ADAS and the vehicle economy remain large markets that can leverage our technology to a very high degree. Second, we see a large opportunity to execute at the edge with increasingly complex AI technologies currently implemented at the core of the network or in the data center. The challenge and our opportunity is that the solutions used in the network are often not suitable for the edge. With edge performance requirements rising, in each market, low power consumption, real-time processing, privacy, security, small form factors, thermal, network bandwidth efficiency, and lower price points are critical. At Ambarella, we continue to invest heavily in our proprietary Edge AI SoC technology and products to support these unique and increasing AI requirements. For example, our 10-nanometer CV2 family supports CNN networks, and our 5-nanometer embedding our third-generation AI processors is scaling our customers into more complex CNN and generative AI applications simultaneously. Third, we see an excellent opportunity to continue to increase our ASP. The shift from CPU workload to high-level over-accelerated computing or AI is well underway. The adoption of increasingly complex data center technology for the edge is another driver. Finally, the extension of our roadmap to other edge endpoints and into the edge infrastructure and auto economy is also expected, in particular, to boost our ASP. For example, our SoC branded ASP in Q3 was up about 20% year-over-year, and as our third-generation AI SoCs and other new products become a more material portion of our revenue, we anticipate further increases in the value we earn per design wins. I will now describe some of the representative customer engagements that reflect the factors I just described. In the enterprise security market, we are very pleased to share a significant milestone with our customer, Sparsh, who became India's first security camera manufacturer to receive STQC certification for its complete range. At the heart of the collaboration is our CV28. This gives us a tremendous start to accelerate our adoption in a rapidly growing "Made in India" market. Infinity, spun out of Bosch, announced their Autodome 7100i moving PT