Thank you, Lee-Lean. I want to expand on two topics that Lee-Lean highlighted, the pending launch of GXL and the building of our SBIR pipeline. Let's start with the Fast Vector Search and our new platform for this market called GXL. First, let me explain the problem GXL solves and why it's important. The size of vector basis is growing fast, especially with gen AI and vector similarity search for e-commerce. Many of these databases use the HNSW algorithm to build indexes because it provides quick and accurate search results. However, building an HNSW index takes a long time, which is a problem for databases needing fast and accurate information. One way to fix this is by speeding up the calculations needed to build or refresh the index by running them in parallel. These calculations take most of the time, so making them faster is crucial. Our incompute-memory APU technology is designed for this. It enables massive parallel processing, solving the slow index building issue. The APU processes data directly in memory at the bit level with millions of bit processors working simultaneously. This means it can handle large amounts of data quickly, reducing the index build time by about 85% compared to traditional CPU-based solutions. The three main benefits of our GXL solution are scalability, it provides fast access to information for gen AI and e-commerce recommendations even as these applications grow to billions of vectors. Second benefit is lower - excuse me, lower operational cost by using computational resources for less time, especially in cloud computing, where costs are billed hourly, it saves money. And the last benefit is faster updates. New products can be added or deleted into the index more quickly in e-commerce applications, leading to timely recommendations and increased revenue opportunities. We recently published a white paper and a blog on medium about efficient HNSW indexing. Be sure to check -- excuse me, be sure to check those out for more information. The GXL platform is being prepared for launch, and we aim to begin connecting with the vector database companies that we have identified and then expand to larger e-commerce players. Switching to the build-out of our SBIR pipeline and our focus on landing these Phase I and Phase II contracts from the Department of Defense, or DoD. We view this strategy as a highly efficient and effective way of increasing awareness of GSI's APU within the DoD. These SBIR awards validate our statements regarding the APU's performance and benefits with many large divisions within the DoD and can bring a significant multiplier effect for future opportunities as many of these applications will have dual use for defense and commercial. This is why we have focused resources on submitting proposals and then prioritizing the execution of these contracts. We are working on a Phase I -- excuse me, we are working on a Phase II SBIR contract with the Air Force worth $1.1 million, which we started in 2023 and are now over 25% complete. Additionally, we have a Phase II SBIR contract with a Space Development Agency valued at $1.25 million, and we are over 50% complete on this project. We recently secured a new Phase I SBIR with one of the largest divisions of the DoD, a division that's new to GSI APUs technology. It has a value up to $250,000. We will give more details on this latest win once the contract is signed. We are currently preparing several other SBIR proposals, adding up to a total pipeline of $6 million. Our next submission will be for a Phase II SAR space level onboard contract worth $1.25 million. In addition to SBIRs, we have initiated the process of seeking additional government funding to enhance the resources we could dedicate to further developing G-II. This funding will enable us to expand the Gemini-II product line by creating a version for advanced edge AI applications. On a final note regarding APU opportunities, we sold a Gemini-1 LiDAR card [ph] to a major aerospace and defense contractor who will evaluate this technology for various underclosed applications. We shipped the card [ph] in June quarter, and the PO also provides GSI software training in the September quarter. Although these sales generate minor revenue, this opportunity is valuable for prospecting engagement with this prominent contractor. We are excited to see this customer using our technology. Regarding the two SAR process we've mentioned in previous calls, one is on hold as we finalized some documentation with that customer. The other is looking to expand the scope of our services that we can provide in different areas of their operation where they could possibly use the APU. Our team is actively investigating how to accelerate the delivery of these additional services. Now let me switch to the first quarter's customers and product breakdown. In the first quarter of fiscal 2025, sales to Nokia were $998,000 or 21.4% of net revenues compared to $1.9 million or 33.5% of net revenues in the same period a year ago and $694,000 or 13.5% of revenues in the prior quarter. Military/defense sales were 31.9% of first quarter shipments compared to 33.8% of shipments in the comparable period a year ago and 35.5% of shipments in the prior quarter. SigmaQuad sales were 36.3% of first quarter shipments compared to 58.6% in the first quarter of fiscal 2024 and 42.4% in the prior quarter. Regarding our SRAM business outlook, while our largest customer has announced some business challenges, our current expectations for orders from them remain stable for the remainder of the calendar year. Several other SRAM customers are currently managing their inventory levels, and we anticipate they will resume placing orders before the end of the calendar year. Additionally, we believe that the customers who were previously reducing their use of SRAMs have now stabilized. I'd now like to hand the call over to Doug. Doug, go ahead, please.