Thank you, Louis, and good afternoon, everyone. Our fiscal Q2 revenue was approximately flat sequentially and consistent with our guidance. Our AI business grew sequentially and year-over-year, while our Video Processor business was down sequentially and down about 50% from a year ago. Our blended ASP in Q2 was above $12 and is on track to grow about 20% year-over-year. Thanks to the reach and mix of AI SoCs, highlighting the value of our emerging AI Inference Processor (ph) business. Our mid-to-long-term growth outlook for the AI Inference Processor business remains positive. However, the near-term environment is very challenging for our overall business. Customers are now more aggressively reducing their inventory and we are now seeing some pockets of weak end-market demand, which complicates our customers' ongoing inventory reduction efforts. Given this, we have reduced our second half outlook. We are not expecting a recovery in calendar 2023, but we do anticipate our customers' inventory will normalize by the end of the year and set us up for a return to growth in calendar 2024. We continue to expand our position in the rapidly evolving AI inference processor market. Cumulatively, we have shipped more than 17 million AI inference processors into device and end point for IoT and automotive applications, and we are now expanding our AI inference processor reach into vehicle autonomy. As announced on the last earnings call, we continue to evaluate the AI inference accelerator market opportunity. I will now summarize the status of our three major SoC product families, Video Processors, CV2, and CV3. First, Video Processors are human viewing, I expect it to be about 40% of total revenue this year, down from 55% last year and they typically come in a single-digit ASP. For several years, we've been prioritizing our limited resource on AI technology and products and for this reason we anticipate our video processor revenue to continue to contract. However, the revenue impact from the video processor contraction in fiscal year 2025 is anticipated to be significantly lower than what we are experiencing this year. Second, our CV2 family of SoCs establish Ambarella’s in the AI inference market and this SoC are expected to approach 60% of our total revenue in fiscal 2024, up from 45% last year. This family of AI inference SoC commences and ASP close to $20 and serves computer vision applications for auto and IoT. CV2 remains an important growth market for Ambarella in mid-to-long term. Third, our CV3 family SoC first began to assemble a year ago. Based on our third-generation AI inference technology, this SoC target more challenging AI inference workload such as partial or complete mobile system autonomy. The CV3 family SoC range from $50 to more than $400 per SoC and autonomous driving software stack optimized to run on CV3 can add hundreds of dollars per unit of incremental software value. The AI inference processor embedding our CV3 SoC is a starting point for our evaluation of the Gen AI acceleration market. In the last quarter, we began to port Meta's Llama 2 to the CV3 ADI and we expect to have chatbot demos available later this year. We will provide updates on our continuing evaluation and encourage to see Generative AI opportunities emerging on both the server and the device side of the market. I will now summarize representative customer activity in the quarter. Design activity in the enterprise security camera market remains robust at medium customer worldwide. Motorola introduced its H5A multi-sensor camera based on our CV2 AI SoC. The camera offers up to 360-degree view utilizing through four image sensors with upto 32 mega pixel resolution and AI analytics. Axis, a unit of Canon announced the 2 megapixel M4215 cameras and the 4K M4218 cameras both based on our CV25 AI inference -- SoCs, targeting indoor surveillance applications. Japanese market leader, i-PRO, announced the expansion of its Rapid PT