Latest news with #Synaptics
Time of India
22-05-2025
- Business
- Time of India
Synaptics appoints ex-Qualcomm executive Rahul Patel as president & CEO
NEW DELHI: US AI edge chipmaker Synaptics has appointed former Qualcomm executive Rahul Patel as its president, chief executive officer (CEO), and a director of the company. Patel succeeds Syanptics' interim CEO Ken Rizvi, who has served in this role since February 2025. Rizvi is currently the company's CFO. Prior to joining Synaptics, Patel spent about 10 years at Qualcomm, including most recently as the senior vice president and group general manager of the connectivity, broadband & networking group, where he led a multi-billion-dollar portfolio of wireless networking and connectivity business. The industry veteran has more than 30 years of experience in the semiconductor industry, and has expertise in high-performance edge-AI wireless connectivity solutions for handsets, tablets, PCs, wearables such as smartwatches and earbuds, Internet of Things (IoT) applications, and networking and broadband solutions for enterprises and home markets. Prior to Qualcomm, Patel spent 13 years in various senior leadership roles at Broadcom , including serving as SVP and GM (wireless connectivity group), where he played a pivotal role in expanding Broadcom's Wi-Fi, Bluetooth, and GPS leadership across all market segments. 'On behalf of the Board of Directors, we are delighted to welcome Rahul as Synaptics' next CEO. Rahul's extensive semiconductor expertise and strong vision uniquely position him to accelerate our growth and innovation, steering us into our next chapter as we broaden our market reach,' said Nelson Chan, chairman of Synaptics' Board of Directors. 'I am truly honored and excited to join Synaptics, a leader in high-performance Processing, Connectivity, and Sensing solutions,' Patel. 'I look forward to working with the talented team at Synaptics to execute on our growth roadmap and deliver next-generation technology that brings unparalleled value to our customers, partners, and investors.'
Washington Post
08-05-2025
- Business
- Washington Post
Synaptics: Fiscal Q3 Earnings Snapshot
SAN JOSE, Calif. — SAN JOSE, Calif. — Synaptics Inc. (SYNA) on Thursday reported a loss of $21.8 million in its fiscal third quarter. The San Jose, California-based company said it had a loss of 56 cents per share. Earnings, adjusted for one-time gains and costs, came to 90 cents per share.
Business Wire
07-05-2025
- Business
- Business Wire
Skyworks Announces Leadership Changes
IRVINE, Calif.--(BUSINESS WIRE)--Skyworks Solutions, Inc. (Nasdaq: SWKS), an innovator of high-performance analog and mixed-signal semiconductors connecting people, places and things, today announced that Mark Dentinger has been appointed senior vice president and chief financial officer, effective June 2, 2025. Mr. Dentinger succeeds Kris Sennesael, who is stepping down from his role as chief financial officer on May 9, 2025, to pursue another opportunity. In addition, Skyworks announced that Todd Lepinski has been appointed senior vice president, sales and marketing, effective June 2, 2025. Mr. Lepinski succeeds Carlos Bori, who will remain with the company in an advisory role for several months to ensure a smooth transition. 'We are delighted to have Mark and Todd join the Skyworks team at this inflection point in the company's history,' said Phil Brace, chief executive officer and president of Skyworks. 'They are both proven leaders and accomplished executives and bring valuable knowledge and business acumen from their past roles. I am confident that they will provide the requisite skills and expertise needed to ensure Skyworks continues to deliver operational excellence and essential technologies and products to our customers while capturing new opportunities across a range of markets.' Brace continued, 'Kris and Carlos have been valued members of the executive leadership team. Their perspectives have been instrumental as we've executed on our long-term strategy and initiatives, and both have made lasting contributions that have benefitted the Company and our customers. On behalf of the team at Skyworks, I want to thank them both for their leadership and dedication.' Dentinger brings nearly 20 years of CFO experience leading financial strategy and operations for high-profile technology companies. He most recently served as CFO of Veritas, where he led the company's global finance organization. Prior to Veritas, he served as CFO for InvenSense from September 2014 to May 2017, CFO of KLA-Tencor from September 2008 to August 2013, and CFO of BEA Systems, Inc. from February 2005 to April 2008. He received his MBA in finance from the University of California at Berkeley and a bachelor's degree in economics from St. Mary's College - California. Lepinski is a seasoned sales and marketing executive with experience driving global revenue growth and building high-performance teams in the semiconductor sector, most recently serving as the SVP of Worldwide Sales and Marketing at Synaptics. Prior to joining Synaptics in June 2021, Lepinski served as the VP of Sales at ARM from April 2016 to June 2021. Prior to ARM, he held several sales management roles at Broadcom in the United States and Europe from 2004 to 2016. He received a bachelor's degree in electrical, electronics, and communications engineering from the University of Wisconsin – Madison. Earnings Call and Additional Information In a separate release today, Skyworks reported its second quarter fiscal 2025 results and business outlook. The company will host a conference call and webcast at 4:30 p.m. EDT to discuss its financial results and today's announcement. To listen to the conference call, please visit the investor relations section of Skyworks' website at Playback of the conference call will be available on Skyworks' website at beginning at 9 p.m. EDT on May 7, 2025. Additionally, a transcript of the company's prepared remarks will be made available on our website promptly after their conclusion during the call. About Skyworks Skyworks Solutions, Inc. is empowering the wireless networking revolution. We are a leading developer, manufacturer and provider of analog and mixed-signal semiconductors and solutions for numerous applications, including aerospace, automotive, broadband, cellular infrastructure, connected home, defense, entertainment and gaming, industrial, medical, smartphone, tablet and wearables. Skyworks is a global company with engineering, marketing, operations, sales and support facilities located throughout Asia, Europe and North America and is a member of the S&P 500® market index (Nasdaq: SWKS). For more information, please visit Skyworks' website at: Safe Harbor Statement This press release includes 'forward-looking statements' intended to qualify for the safe harbor from liability established by the Private Securities Litigation Reform Act of 1995. These forward-looking statements include information relating to future events, prospects, expectations and results of Skyworks (e.g., expectations for long-term growth, delivering operational excellence and essential products, capturing new opportunities, and ability to conduct a smooth transition). Forward-looking statements can often be identified by words such as 'continue,' 'expects,' 'intends,' 'believes,' 'plans,' 'may,' or 'will' and similar expressions and variations or negatives of these words. All such statements are subject to certain risks, uncertainties and other important factors that could cause actual results to differ materially and adversely from those projected and may affect our future operating results, financial position and cash flows. These forward-looking statements are subject to a number of risks and uncertainties, many of which are difficult to predict and beyond Skyworks' control, which could cause actual results to differ materially from those indicated in the forward-looking statements. Those factors include, but are not limited to, our ability to successfully manage senior management transitions, execute on our strategy, and the risk factors set forth in Skyworks' filings with the Securities and Exchange Commission, including the Company's most recently filed Annual Report on Form 10-K. The forward-looking statements contained in this press release are made only as of the date hereof, and we undertake no obligation to update or revise the forward-looking statements, whether as a result of new information, future events or otherwise.
Forbes
28-04-2025
- Business
- Forbes
The Zoo Revolution: Why Pretrained Models Are The Key To Scalable Edge AI
Rajesh Subramaniam is Founder and CEO of embedUR systems. From IoT and robotics to industrial automation and smart devices, AI is fundamentally changing how machines operate. But one of the biggest hurdles to widespread adoption has always been the complexity of building, training and deploying AI models—especially on the edge. That's where pretrained models come in. These ready-to-use tools are making AI faster, cheaper and more scalable. The rise of AI model zoos—curated collections of pre-built, optimized models—is the key to this transformation. Think of model zoos as an app store for AI that gives developers access to powerful AI capabilities (working models, curated datasets, blueprints) without a steep learning curve, extensive training, or deep technical expertise. For many businesses, training an AI model from scratch is not practical due to cost or time constraints. Even before building a product, teams must validate feasibility, which is often the costliest step. Pretrained models can accelerate this process by enabling rapid testing of multiple ideas to see which are viable before committing resources. Instead of spending months developing a proprietary model, companies can take an existing model from a model zoo, fine-tune it for their specific needs and deploy it rapidly—especially in cloud environments where models can run with minimal changes. On edge devices, deployment is more complex and often requires additional porting and optimization for each hardware platform. Small, low-power IoT devices at the edge need models that are both lightweight and efficient. Pretrained models have already been optimized for real-world applications; some are stripped-down versions of larger networks, making them ideal for quick prototyping on tools like Raspberry Pi. But in production, these models can be deployed on advanced, AI-native chips from vendors like Synaptics, STMicroelectronics and Silicon Labs, designed specifically for edge inference on a single chip. Traditionally, many of these small, low-power devices rely on cloud connectivity to make intelligent decisions. But running pretrained models directly on edge devices can reduce latency, improve reliability and conserve power. Developing high-performance AI for edge devices comes with enormous challenges. First, curating high-quality, relevant datasets is crucial. AI is only as good as the data it's trained on. This is especially important for edge AI, where a bad model can result in significant failures—for example, a facial recognition model that isn't trained on a diverse set of faces, lighting conditions and environments. Businesses that want to deploy AI need to make sure their datasets are well-curated, balanced and representative of actual use cases. Equally important is code and model efficiency. Edge devices operate under tight constraints: limited memory, storage, processing power, and often battery life. Unlike cloud environments, where inefficient code can be masked by throwing more compute at the problem, we don't have this luxury with edge AI. You can't afford bloated models with 20% waste. On the edge, there's no tolerance for inefficiency and no room for error. Every line of code and every model parameter has to be optimized. In cloud-based AI, an accuracy rate of 95% is often considered acceptable. But in edge AI, where devices have to operate independently with minimal errors, this isn't enough. For instance, it's not OK if a self-driving car fails to detect pedestrians in one out of every 20 trips. Achieving a required accuracy of 99% and above requires extensive testing and iterative improvements. The next five years will bring a wave of intelligent edge devices replacing traditional electronics. These AI-powered systems will be smaller, more energy-efficient and capable of making real-time decisions without relying on cloud connectivity. This shift will affect every industry that relies on connected devices, from smart homes to industrial automation. But there's an important dynamic that's often overlooked: product life cycles are shrinking. Over the past decade, for example, hard drives have evolved every few months instead of every few years. The same will apply to AI-powered devices. Products considered bleeding-edge today could be obsolete within months or a year, replaced by newer, more advanced alternatives. That means companies will need tools that can help them get new products to market fast and adapt to changing technologies as quickly as possible. Pretrained models and model zoos will be crucial in this race. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Associated Press
10-03-2025
- Business
- Associated Press
Synaptics Extends Edge AI Portfolio with High-Performance Adaptive MCUs for Multimodal Context-Aware Computing
NUREMBERG, Germany, March 10, 2025 (GLOBE NEWSWIRE) -- Synaptics® Incorporated (Nasdaq: SYNA) has extended its award-winning Synaptics Astra TM AI-Native platform with the SR-Series high-performance adaptive microcontroller units (MCUs) for scalable context-aware Edge AI. The series features three tiers of operation: performance (100 GOPS), efficiency, and ultra-low-power (ULP) always-on (AON) to deliver intelligence at every power level. Based on an Arm® Cortex®-M55 core and the Arm Ethos™-U55 neural processing unit (NPU), the SR-Series is supported by the AstraTM Machina Micro development kit and open-source SDK. It is optimized for multimodal consumer, enterprise, and industrial Internet of Things (IoT) workloads with accelerators and adaptive vision, audio, and voice algorithms. The small-form-factor MCUs have a rich set of peripherals—including multiple camera interfaces—to help minimize system cost, power, and footprint while enabling integration into a wide range of devices, such as battery-operated security cameras, sensors, appliances, point-of-sale, digital signage, and scanners. At EW2025? Join us in Booth #4A-259 to learn about our advances in Edge AI, wireless connectivity, and automotive display technologies. Email [email protected] for an appointment. Announced at EW2024 with the SL-Series MPUs, the Synaptics Astra AI-Native compute platform for the IoT combines scalable, low-power compute silicon for the device Edge with open-source, easy-to-use software and tools and Veros TM wireless connectivity. The platform was built upon Synaptics' foundation in neural networks, field-hardened AI hardware and compiler design expertise for the IoT, and refined, in-house support of a broad base of modalities. 'We believe we are at an inflection point in Edge AI where embedded developers have a unique opportunity to redefine human-machine interaction through multimodal processing and contextual awareness,' said Vikram Gupta, Senior Vice President and General Manager of IoT Processors, Chief Product Officer at Synaptics. 'Unlocking this potential requires a new class of embedded compute silicon. As part of our Astra family, the SR-Series extends our Edge AI processing roadmap with intelligence optimized for various power levels. It allows the development of cognitive IoT devices that seamlessly adapt to their surroundings, from ultra-low-power always-on sensing to high-performance edge inference.' 'Enabling ultra-low-power AI processing at the edge will revolutionize emerging applications across various markets, including retail and smart home, where we are seeing greater performance demands,' said Paul Williamson, Senior Vice President and General Manager, IoT Line of Business at Arm. 'With the new SR-Series, built on the Arm compute platform, Synaptics is delivering the real-time intelligence and innovation needed to scale edge AI deployments.' 'Meeting the needs of future intelligent edge devices requires solutions capable of multimodal processing to achieve situational awareness,' said Jim McGregor, Principal Analyst at TIRIAS Research. 'Synaptics' SR-Series of AI MCUs offers a scalable solution that maximizes IoT device awareness while simplifying integration and optimizing power and performance.' Technical highlights The SR-Series comprises three MCUs, the SR110, SR105, and SR102, each with its respective features and benefits that cater to a range of multimodal application requirements. All three MCUs use a Cortex-M55 core with Arm Helium™ technology running up to 400 MHz. The SR110 also has a Cortex-M4 core and Arm Ethos-U55 NPU and is sampling now; the SR105 has an Ethos-U55 NPU; and the SR102 is a single Cortex-M55 device. Other SR-Series features include: The Machina Micro kit maintains Astra's signature 'out-of-the-box' AI development experience for beginners and experts alike. For more information: About Synaptics Incorporated Synaptics (Nasdaq: SYNA) is driving innovation in AI at the Edge, bringing AI closer to end users and transforming how we engage with intelligent connected devices, whether at home, at work, or on the move. As a go-to partner for forward-thinking product innovators, Synaptics powers the future with its cutting-edge Synaptics Astra™ AI-Native embedded compute, Veros™ wireless connectivity, and multimodal sensing solutions. We're making the digital experience smarter, faster, more intuitive, secure, and seamless. From touch, display, and biometrics to AI-driven wireless connectivity, video, vision, audio, speech, and security processing, Synaptics is the force behind the next generation of technology enhancing how we live, work, and play. Follow Synaptics on LinkedIn, X, and Facebook, or visit Synaptics and the Synaptics logo are trademarks of Synaptics in the United States and/or other countries. All other marks are the property of their respective owners. For further information, please contact: Media Contact Patrick Mannion Synaptics +1-631-678-1015
