Thank you, Munjal. Good afternoon, everyone, and thank you for joining our fiscal Q1 2026 earnings call. We had an outstanding start to our fiscal year, delivering strong results that reflect the continued momentum in our business. Revenue in our Core IoT portfolio grew by 74% year-over-year, driving 14% revenue growth for the company. Our strength was broad-based across both processors and wireless connectivity. We delivered strong earnings growth, with non-GAAP earnings per share up 35% year-over-year to $1.09. As a company, we are sharpening our focus and aligning our resources to capture the growing opportunity in Edge AI. In the last quarter, we met with customers across the globe and at our Tech Day here in San Jose. Those discussions have affirmed my confidence in our ability to strengthen our leadership in this market. By bringing together our unique capabilities in analog mixed-signal, multi-core processing, and advanced wireless connectivity, we are enabling customers to bring intelligence to the Edge. This quarter, we reached a major milestone in our Edge AI roadmap with the successful launch of our next-generation Synaptics Astra Edge AI processors. Astra introduces a new class of AI-native silicon, built from the ground up to power the next wave of intelligent devices at the Edge. These products represent a decisive leap forward in our Edge AI strategy and reflect our strong execution and firm commitment to leadership in this market. Importantly, Astra is not just a standalone product, it brings together Synaptics' integrated approach to high-performance solutions by incorporating our processing, wireless connectivity, and mixed-signal capabilities. The response from customers, ecosystem partners, and the media has been very positive for the following reasons: First, we developed the new generation of Astra SL2600 series to enable billions of AI devices at the Edge, from battery-powered devices to high-performance industrial systems. It delivers industry-leading price performance to enable intelligence at the far Edge. Its scalable architecture allows our customers to address a wide range of applications, including those that require multimodal human-machine interface, vision, and voice capabilities across consumer, enterprise and industrial end markets. Customers can future-proof their designs as requirements for multimodal compute, power efficiency, application features, and AI models continue to evolve. Second, we introduced Synaptics Torq AI in the new generation of Astra processors. Torq combines a future ready neural processor architecture with open-source compilers, setting a new standard for IoT AI application development. Further, as part of our close collaboration with Google Research, we have integrated their open-source Coral NPU, a machine learning accelerator optimized for energy-efficient AI at the Edge. This silicon-level collaboration enables customers to develop innovative Edge products with AI inference across a broad range of applications. Third, the Synaptics and Google partnership is fundamentally about creating a robust and open software development environment that elevates AI-native Edge IoT product development from a highly fragmented, proprietary ecosystem into a unified, open-source approach. Developers now have access to multiple flexible and scalable programming frameworks, comprehensive software development kits and tools, and a rich repository of resources that include pre-optimized models, multimodal AI applications, and a curated developer experience supporting a wide range of use cases. Our lead customers have begun sampling the new Astra SL2600 devices, and we are already securing design wins. We expect initial revenue contributions to start in the second half of the calendar year 2026. This marks a significant execution milestone for our engineering and product teams, reflecting their outstanding commitment to innovation. Looking ahead, the AI inference compute opportunity is significant as hybrid compute across the data center and the Edge is taking shape. We are already seeing strong early traction and a healthy pipeline of customer engagements. We had hundreds of customers and partners join us at our Tech Day, where we showcased Edge AI use cases such as industrial vision, fleet management, home automation, smart appliances, IoT hubs, and robotics. Moving to our wireless connectivity portfolio, we had a solid quarter with strong execution across our strategic priorities. Our Wi-Fi 7 and broad-market solutions are starting to gain traction, and our roadmap remains firmly on schedule. Development of our wirelessly connected microcontroller with AI, all in a monolithic silicon, is advancing as planned, and we look forward to sharing more in the quarters ahead. Across our Core IoT portfolio, we achieved multiple wireless connectivity and processor design wins spanning a diverse range of end markets, including action and sports cameras, educational and commercial tablets, point-of-sale systems, unified communication platforms, operator solutions, and wearables. We're also seeing increasing customer commitments in home security systems, Matter-enabled IoT hubs, trackers, AI-enabled wearables, and body cameras. As we continue to invest in our roadmap, execute on our engineering goals, and deepen partnerships with our leading customers, we feel confident in our ability to deliver long-term growth across our processor and wireless connectivity portfolio centered on enabling AI at the Edge. Let me now turn to our mixed-signal technology products. In Enterprise & Automotive, our PC products continue to show steady improvement, and our broader enterprise portfolio continues to recover. We have gained market share over the last year, and we expect the momentum to continue into the current quarter. While we continue to see softness in automotive due to subdued market demand, we are benefiting from the continuation of our existing designs and are actively investing in new innovative automotive solutions that will help increase our silicon content. In Mobile Touch, we are seeing strong customer traction with our next-generation touch controller, which features a differentiated multi-frequency architecture designed for foldable OLED phones and other large-screen applications. This new design enables thinner and larger panels and integrates advanced sensing and filtering capabilities to effectively manage display noise. It also supports continuous time sensing, offering customers greater design flexibility and more cost-effective integration. We have secured marquee design wins with a top Android phone OEM and we are also seeing strong interest from OEMs in China for smartphones and tablets. We expect these wins to start contributing to revenue in the next fiscal year. Notably, our content in foldable phones will be more than twice that of our current smartphone designs. As the adoption of foldable phones increases, we are optimistic about the opportunity it creates for Synaptics. Overall, we are seeing steady improvement in our financial performance, with both revenue and EPS increasing sequentially and year-over-year. This progress reflects the strong execution across our organization, particularly from our engineering teams, who continue to deliver on our product roadmap. Our pipeline of opportunities is expanding, and we believe we are well-positioned to build on this momentum. I am confident that our focus, innovation, and disciplined execution can drive long-term growth for Synaptics. I will now turn the call over to Ken to review our first quarter financial results and outlook for our fiscal 2026 second quarter.