Thank you, Louis, and good afternoon. Thank you for joining our call today. Our strong momentum continued in our second quarter with revenue of $95.5 million, increasing 11% sequentially above the high end of our prior guidance range of $86 million to $94 million. The second quarter results represent the fifth consecutive quarter of record edge AI revenue. Furthermore, I am proud to say the midpoint of our new third quarter and the full fiscal year 2026 revenue guidance range represents all-time record quarterly and fiscal year total revenue for Ambarella. In our May 29 earnings call, we increased our fiscal 2026 revenue growth estimate to a range of 19% to 25% or approximately $348 million at the midpoint. With a strong order book as well as our expectation for both our total unit shipped and our average selling price to increase in fiscal 2026, we are increasing our fiscal 2026 revenue growth estimate to a range of 31% to 35% or approximately $379 million at the midpoint. Needless to say, it is a very exciting time for Ambarella. Fundamentally, after a multiyear period of significant edge AI R&D investment, our broad product portfolio enable us to address a rising breadth of edge AI applications. This increased breadth not only drives our overall unit demand, but we continue to see very strong demand for our new 5-nanometer AI SoCs in both our existing and emerging edge AI markets, which is driving our firm-wide average ASP price higher. I would like to double-click on the rising breadth of edge AI applications I mentioned and focus on three applications we see as rapidly emerging for us. Portable video, robotic aerial drones and the edge infrastructure. Our edge AI revenue began in the enterprise security market more than 5 years ago and was followed by an incremental edge AI application in the smart home, automotive safety and the telematics markets, all of which are continuing their unique growth trajectories. Now this year, layer on top is the rising demand for our edge AI SoCs from the portable video market, including action camera, panorama cameras and the body-worn on cameras. In addition to portable video market, we expect to commence high-volume shipments into the robotics market by the end of this fiscal year. The unit volume in the robotic market is highly fragmented by application, form factors and the customers, but our technology, products and road map have enabled us to win one of the early high- volume robotic applications, partially autonomous aerial drones. Potable video and robotic both represent new emerging edge AI applications in Ambarella's traditional market for IoT end points. Today, we are also announcing our first win in the edge AI infrastructure with our N1-655 SoC. This win is yet another example of the expanding breadth of our edge AI business and I'm encouraged by the interest in our N1 edge AI infrastructure road map from both new and existing customers. In the automotive autonomy market, the largest subset of robotic market. We are actively bidding on OEM projects with our CV3- AD family of advanced 5-nanometer central domain controller for L2+ to L4 applications. While offering significant lifetime revenue opportunities, the lower frequency of award decisions, OEM program delays and a longer time to revenue are causing our other edge AI applications to emerge more rapidly. Nevertheless, we remain highly focused on developing this business, and we will provide updates on our progress as wins occur. I will now describe some representative customer engagement during the quarter, beginning with the two key customer design wins that validate our future vision and strategy. In a rapidly growing robotic drone market, Arashi Vision, also known as Insta360 launched the world's first 8K 360-degree drone under its new Antigravity brand. Powered by our CV5 AI SoC, this drone features dual lens on both the top and the bottom, enabling 8K 360-degree video recording. The AI capacity in CV5 is fully utilized in this partially autonomous drone and our product portfolio will enable the drone market to evolve rapidly to higher levels of autonomy. The Antigravity A1 is set to launch globally in January 2026. We are proud to see Arashi very successfully differentiate their diverse portable video and now robotic aerial drone portfolio with AI features such as new neural net image signal processing, AI editing and gesture control, leveraging our AI SOCs. A majority of Arashi's products are based on Ambarella SoCs and approximately 70% of our Arashi's shipments are exported. In the emerging edge AI infrastructure market, a global networking customer is rolling out a compact on-premises network AI clients with multimodal intelligence at the [ event ] level built on our N1-655 AI SoC. This appliance will add large language model-powered natural language search, and we were selected because of power efficiency, network bandwidth saving and low bill of material cost. This is a great example of one of the green shoots I mentioned earlier. There are several other use cases being evaluated on our N1-655 SoC. In our automotive safety, ADAS and telematics business, I would like to share some key customer wins during the quarter. Samsara, a leading provider of commercial fleet telematics solutions, has introduced its AI Multicam platform based on Ambarella's CV72 AI SoC. Samsara's AI Multicam delivers live 360-degree visibility and real-time risk detection alerts on an in-cab monitor with up to 4x auxiliary HD camera feeds. It is great design win for CV72 that demonstrates more camera inputs and advanced AI features on a single SoC. Audi is utilizing CV22FS for their left, right e-mirror functions in the E5 model initially in the China market. It enables them to provide intelligent context-adaptive viewing mode on highways, parking, turning and lane changes with dynamic image processing and display enhancement functions. Also in the mirror market, our BAIC Stelato S9 is utilizing CV22FS for their rearview electronic mirror. They note that AI-aided detection via camera input helped them cut down blind spots by up to 60%. And a leading Chinese OEM will utilize our CV22 SoC for their 8-megapixel sensor designed specifically for the Level 2 front ADAS functionality. A key capability they are enabling is small target detection and the long range. In the enterprise security segment, Honeywell in India has launched their 50 Series enterprise security cameras in 3-megapixel and 5- megapixel resolutions based on our CV25 SoCs. India is a fast-growing market with a drive for made in India products, creating new customer opportunity for us. In the smart home market, one of our long-term customers in U.S. has leveraged our H32 SoCs to build multisensory multimodal AI products available in the retail outlets today. They have built a nursery device, integrating video monitoring two-way intercom, high noise generator and air quality sensor. They have also built a garage device that features carbon monoxide and heat detection, security camera and the intercom functionality. Also in the smart home market, Netatmo launched their Indoor Camera Advance products that is built on [ S6L ] SoC in the European market. As you can see from this representative customer engagements, we continue to build design wins momentum in our existing edge AI endpoint application, and we continue to successfully address incremental edge AI applications. such as robotic aerial drones and edge infrastructure as the edge AI market breadth expands. Having shipped more than 36 million edge AI processors to hundreds of customers who have successfully ported hundreds of advanced customer AI models to our SoCs, there should be no doubt that Ambarella is a leader in edge AI. Edge AI is expected to represent about 80% of our total revenue this year. We are focused exclusively on the unique needs of the edge AI market, and we continue a rapid pace of innovation. In conclusion, I would like to summarize the key points covered today. First, we delivered Q2 results above the high end of our prior guidance, and we increased the midpoint of our full year fiscal 2026 revenue guidance by 9%. Second, the breadth of our edge AI applications we are successfully addressing is expanding as seen with our ongoing ramp in a variety of portable video applications and the anticipated production ramp for robotic aerial drones and edge infrastructure. Third, the growth of our edge AI business is also occurring with our higher-priced edge AI SoCs, supporting the anticipated growth in our ASP. Last, we are exclusively focused on the unique requirements of the edge AI market, and we remain an established edge AI market leader who continue to innovate at a rapid pace. Now John will now discuss the Q2 results and the Q3 outlook in more detail.