Thank you, Richard. Welcome, everyone, and thank you for joining us today. Our second quarter results reflect the dynamic environment more about by challenging macroeconomic conditions that has led to slower-than-expected recovery in some regions. On the other hand, we also saw resumptions in chip demand following a few quarters of inventory correction. Our licensing business experienced a slowdown in the quarter, which I will explain momentarily. On royalties, we saw our royalty revenue recovered to grow 17% sequentially, and we anticipate this recovery can continue in the coming quarters. In licensing, our revenue came in below our expectations. The primary reason for this relates to the semiconductor start-ups, a customer base that is an important contributor to any IP licensing business, semiconductor startups rely on venture capital funding to underpin their businesses. Funding from VC for semi start-ups slowed down towards the end of 2022 and global VC funding for the first quarter of 2023 fell 50% year-over-year. Consequentially, some of the deals with start-ups, we anticipate closing in the quarter did not come through as planned, and the resulting shortfall and licensing revenue was unexpected. However, we are already seeing funding of startups in the semiconductor ecosystem, picking up again and anticipate licensing to these companies will recover in the coming quarters. We also saw mixed results in our design services activities in the quarter, where the overall defense industry is moving slower than expected to conclude new investments and funding there takes more time. As a result, some projects in our sales pipeline are taking longer to get funded. Looking at licensing business, concluding in the quarter in more detail. We signed 17 new licensing and NRE agreements we have not already interest in our wireless communications offerings encompassing 5G cellular IoT, WiFi, Motive and UWB. All of these technologies continue to be in demand with build signs in each of these areas. We signed 3 WiFi 6 deals for ComboChips, where we also licensed our Bluetooth technology. One of these deals was with a strategic customer, a leading supplier of connectivity chips into IoT devices, spanning consumer, industrial and smart home. This latest deal with the customer is a multi-use agreement as they look to expand their Wi-Fi 6 business on the back of their highly successful WiFi 4 business. So this latest deals with the customers at where they have shipped more than 300 million CVA power Wi-Fi chips to date. As we have discussed previously, the average royalty per unit we get for WiFi 6 is higher than previous generation of WiFi. Having an established customers and leader in this space migrate to WiFi 6 presents another potentially strong contributor to our WiFi royalty stream in the coming years. Other deals of not in the quarter include 4 new agreements for automotive, 2 for our UWB technology from digital keys and in-cabin greater applications and 2 for our AI compiler technology that creates fully optimized onetime software for our sales boosters and new plans -- our product offerings are very well aligned with the automotive industries push towards electrification and even more powerful safety system. We have many touch points already in the car, including our Vision AI processors for ADAS, sensor fusion DSPs for [indiscernible] battery management systems and UWB Bluetooth Wi-Fi, 5G and V2X for safety, infotainment, communications and connectivity. Our inherently low power solution are an excellent fit for automotive. And while it can take quite a number of years before automotive design wins show up in production vehicles, we are very excited about design wins we have secured to date and the potential royalty streams that we can generate from this highly lucrative market. Finally, we signed 2 new agreements in cellular IoT space, one for our new Narrowband IoT technology and another for targeting 5G webcast. Now to royalties. After a weak first quarter, we saw a good recovery in the second quarter, driven by smartphone targeting emerging markets and restocking for consumer and industrial IoT products following the inventory correction. Royalties for the quarter reached $9.5 million, up 17% sequentially. The we saw CEVA-powered cheap volumes increased sequentially across the board structure of markets we address and a notable recovery in smartphones, PCs and 5G base stations in particular. On the last earning calls, we explained there was a significant inventory correction taking place, particularly in the smartphone and consumer IoT spaces where we have meaningful exposure. Following conversation with our customers and other companies in the supply chain, we believe that this inventory has been worked through for the most part, and our royalties reflects a resumption in demand to refill the channels. We reiterate our belief that the first quarter was the bottom for our royalty business, and we anticipate continued recovery for our royalty business through the remainder of the year. Now, I would like to switch to discuss a new strategic market time expansion opportunity that we are addressing with our products targeting AI from the cloud to the edge. Earlier this week, we announced our latest new or processors targeting generative AI applications. Generative AI is creating a lot of headlines recently, dominating the AI narrative, thanks to CET, GPT and other generative pretrained transformers or GPT models. In general, AI is divided into training, including deplaning and is learning and inference, including computer vision, co-piloting, photonics such as fast optical networking animal. CEVA has addressed influence application with our sensor or and Newport product line for a number of years and has been successful in helping our customers deploy AI across multiple end markets and devices, including industrial, automotive and consumer. Generative AI takes the air experience to the next level. Transformer based models have led to significant factors in several forms of generative AI. They are key in both increasingly powerful text image models such as deli or stable diffusion and language and instruction following models such as JGP or Stanford unpack. Today, such networks are typically executed on GPU-based compute infrastructure in the cloud because of their massive model sizes and high memory and bandwidth requirements. However, as transformer-based networks mature and become increasingly popular, there is an opportunity spanning all the way from the cloud to the edge to increase the performance and efficiency of executing generative AI. For example, there are new generative AI models, which are domain and enterprise-specific reduce smaller proprietary data sets with fewer parameters and expert systems. These generative AI models don't require GPU-based compute to execute. And thanks to our extensive experience in developing processors that support AI in low-power devices we have enhanced our new NPU family to support this transformer-based large language models, 11N and generative AI models to allow natural language processing and generative capability locally, KA co-piloting with incredible efficiency. This directly improved the latency and overall personal experience of using generative AI protect the privacy of the user data, addressing a key concern of cloud-based AI today and significantly reduces the cost per quarry. I believe that our ability to support transformer architecture with exceptionally low power consumption and highly efficient positions us very well to exploit this new wave of AI across the full spectrum of end markets from consumer IoT to industrial, automotive and networking. Our new program is already available for licensing to customers, and we are very excited about the potential here to grow our AI footprint with this enhanced product family. In summary, despite the revenue shortfall in licensing this quarter, we believe our portfolio of wireless communications and sensing AI technologies is unlevered and leads the industry in terms of performance, power efficiency and quality. Our new plant family further expands our strength in AI to address the growing trend of deploying the incredible potential of generative AI to any device and application. With our technology leadership position and top-tier customer base and desire to go and expense, we remain very optimistic about the long-term trends in our business and our ability to drive long-term shareholder value. Now, I will turn the call over to Yaniv for the financials.