Latest news with #JetsonOrin
Yahoo
22-05-2025
- Automotive
- Yahoo
Innodisk Showcased Embedded and Automation Innovations at Automate Show 2025
DETROIT, May 22, 2025 /PRNewswire/ -- Innodisk, a global leader in edge AI solutions, showcased its latest embedded and automation technologies at the Automate Show 2025, recently held in Detroit. With a sharp focus on advancing AI innovation for industrial applications, Innodisk bridges AI concepts with real-world automation. Smart Vision Solutions for AGVs & AMRs Innodisk unveiled two powerful camera modules designed for AGVs, AMRs, and industrial automation: 13MP GMSL2 Camera Module: This long-distance, high-resolution camera delivers exceptional performance with cable lengths up to 15 meters and an IP67-rated enclosure, ensuring durability in harsh environments, and is compatible with NVIDIA Jetson Orin platforms. 8MP MIPI CSI-2 Camera Module: Offering 30fps imaging with integrated ISP and HDR support. The module excels in real-time, dynamic environments and is a robust solution for embedded vision, industrial automation, and AI edge computing. Industrial-Grade Memory and Storage for Edge AI Innodisk also highlighted its robust lineup of memory and storage solutions, built to meet the demanding requirements of AI and edge computing workloads: DDR5 CSODIMM DRAM Module: With speeds up to 6400MT/s and 64GB capacity, this module features a CKD and TVS protection for enhanced reliability in data-intensive tasks such as LLM inference, generative AI, and edge computing. E1.S 4TS2-P NVMe SSD: Designed for robots and edge servers, this PCIe Gen4 x4 SSD offers up to 6.4TB capacity, wide temperature support, Power Loss Protection, and high DWPD. Automation GenAI Solution One of the major highlights was partnering with LatticeWork to demonstrate the VAISense Automation GenAI Solution on the Innodisk APEX-P200 edge AI system. The APEX-P200 is equipped with NVIDIA RTX 2000 Ada GPU with a compact design, offering powerful performance that is ideal for space-constrained environments and delivers real-time AI inference and analytics, which are essential for VAISense. U.S. Debut: Intel® Core™ Ultra Series 2 Reference Kit Innodisk presented the Intel® Core™ Ultra Series 2 Reference Kit in the U.S. for the first time. Collaborate with Intel, the reference kit featuring Innodisk exclusive MIPI-over-Type C camera, DDR5 DRAM modules, industrial-grade SSDs, and expansion modules. It also highlights the partnership as an ideal choice for industry players looking to adopt next-generation computing platforms and lead in the AI era. For more details, visit the Innodisk blog. Innodisk reaffirmed its role in enabling industrial AI at the show and is ready to power the next wave of automation and edge computing. View original content to download multimedia: SOURCE Innodisk Corporation Sign in to access your portfolio
Jordan News
22-05-2025
- Health
- Jordan News
Tireless Worker: First AI Nurse Begins Service in Taiwanese Hospitals - Jordan News
Amid a growing global crisis threatening the disappearance of millions of nurses by 2030, robots are making their way into hospitals in Taiwan, offering AI-powered technological solutions to ease the burden on medical staff and reshape the future of healthcare. اضافة اعلان This development comes as the World Health Organization warns of a severe shortage of approximately 4.5 million nurses in the coming years—largely due to increasing burnout in healthcare environments. In a proactive response, tech giants Foxconn and NVIDIA have partnered to develop robotic technologies that support nursing staff in Taiwan's hospitals. The latest innovation is an intelligent nursing assistant robot named "Norabot", specifically designed to handle difficult and repetitive tasks—reducing both the physical and mental strain on nurses, according to a report by Interesting Engineering. Norabot isn't the only innovation in this field. Foxconn also unveiled a full suite of smart hospital tools powered by NVIDIA's computing architecture. These include AI models to monitor patients' vital signs, a 'digital twin' system for optimizing hospital space design, and edge systems that enable real-time AI applications within hospital environments. The process begins in data centers, where AI models are trained on powerful NVIDIA machines and tested through virtual simulations. Once proven effective, these systems are deployed in real hospital settings, and several leading medical centers have already joined the initiative. Norabot, a product of collaboration between Foxconn and Kawasaki Heavy Industries, is equipped with multiple technologies, including the FoxBrain smart management system, Isaac for Healthcare for virtual training, and NVIDIA's Holoscan and Jetson Orin platforms for real-time sensing and processing. Daily tasks performed by Norabot include: Delivering medications Monitoring fetal health Guiding hospital visitors Transporting wound care supplies and educational materials to patients According to Foxconn, the robot can reduce nursing workloads by up to 30%. Shu-Fang Liu, Deputy Director of Nursing at Taichung Hospital, stated: "Having a robotic assistant reduces nurses' physical fatigue, limits frequent trips to supply rooms, and frees up more time to focus on patient care—especially during visiting hours or night shifts when staff is limited." The medical team is hopeful that future versions of Norabot will include more advanced features such as: Multilingual communication Facial recognition Physical assistance in moving or supporting patients Liu expressed a vision where Norabot might help a single nurse conduct respiratory therapy for a patient with lung problems—replacing the need for two nurses and allowing more efficient use of human resources.
Yahoo
22-05-2025
- Business
- Yahoo
Should You Buy Serve Robotics Stock After Its 55% Crash? This Recent Move by Nvidia Might Hold the Answer.
Serve Robotics developed autonomous delivery robots powered by Nvidia's hardware and software. Nvidia was one of Serve's largest shareholders before selling its entire stake at the end of 2024. Serve will deploy 2,000 new robots under a deal with Uber Eats, which should drive a surge in revenue. 10 stocks we like better than Serve Robotics › Nvidia supplies the world's most advanced artificial intelligence (AI) chips for data centers, but it also has a growing portfolio of other AI solutions. For example, Serve Robotics (NASDAQ: SERV) uses Nvidia's Jetson Orin hardware and software platform in its flagship Gen3 robots, giving them the capability to autonomously deliver food orders on behalf of platforms like Uber Technologies' Uber Eats. Nvidia used to be one of the largest shareholders in Serve Robotics until it sold its entire stake during the final quarter of 2024. It's not clear why Nvidia exited the position, but Serve stock is down by almost 30% in 2025, and by 55% from its all-time high. It seems the chip giant has excellent timing. But Serve is on track to deploy 2,000 Gen3 robots this year under a major deal with Uber Eats, and Wall Street thinks it will lead to significant revenue growth. Should investors buy Serve stock while it's down, or should they sit on the sidelines with Nvidia? Serve believes existing last-mile logistics solutions are inefficient, because they rely on cars with human drivers to deliver small food orders. The company is betting these deliveries will be handled by autonomous robots and drones in the future, creating a potential $450 billion market opportunity by 2030. Serve's robots have achieved Level 4 autonomy, which means they can drive on sidewalks within designated areas without any human intervention. These robots have completed over 100,000 deliveries on behalf of restaurants primarily in Los Angeles since the start of 2022, with 99.8% accuracy, which makes them significantly more reliable than human delivery drivers. Serve's latest Gen3 robot offers vast improvements in computing power (thanks to Nvidia's Jetson Orin systems), speed, range, and battery life compared to previous versions. It is also up to 65% cheaper to manufacture thanks to Serve's partnership with Magna International, which is a $14.5 billion producer of parts and components for the automotive industry. Serve is aiming to charge $1 per delivery across the board in all markets, and robots with greater capabilities combined with cheaper manufacturing costs will bring the company a step closer. As I mentioned earlier, Serve is working to deploy 2,000 Gen3 robots this year under its deal with Uber Eats. The company launched 250 during the first quarter of 2025, with 700 more expected by the end of the third quarter, and the remainder to come during the fourth quarter. The new robots have already enabled Serve to expand into Miami and Dallas, with Atlanta to follow during the current quarter. Serve generated just $440,465 in revenue during the first quarter of 2025, which was a 53% drop compared to the year-ago quarter -- but that prior result was inflated by a one-off software licensing fee Magna paid the company to use some of its technology. Serve's first-quarter revenue was actually a 150% increase compared to the fourth quarter of 2024 three months earlier, which is a better indication of how quickly its delivery business is ramping up. In fact, Wall Street's consensus estimate (provided by Yahoo! Finance) suggests the company could generate $6.8 million in revenue for the whole of 2025, which means there could be massive growth over the next three quarters as more robots are deployed. But Serve has a big issue. It lost $13.2 million on the bottom line during the first quarter, which puts the company on track to exceed its record annual loss of $39.2 million from last year. Building autonomous technologies isn't cheap -- Serve's biggest cost is research and development, which regularly accounts for half of the company's total operating expenses, and that probably won't change anytime soon. Therefore, even if Serve generates $6.8 million in revenue during 2025, it won't be anywhere near enough to prevent another gigantic net loss. The company had $197.7 million in cash on its balance sheet at the end of the first quarter, so it can afford to sustain its current losses for the next couple of years. However, management will eventually have to turn its focus toward profitability; otherwise, it will have to raise more money from investors, which will significantly dilute existing shareholders. Based on Serve's trailing-12-month revenue of $1.3 million and its market capitalization of $599 million, its stock trades at an eye-popping price-to-sales (P/S) ratio of 460. That means it's a staggering 18 times more expensive than Nvidia stock, which trades at a P/S ratio of just 26. I don't think Serve deserves to be trading at such a steep premium to one of the world's highest-quality companies, which has cemented a leadership position in AI and has a track record of success that spans decades. With that said, Serve's valuation does look more reasonable if you measure it based on its future revenue, using Wall Street's forecasts. If you assume the company will generate $6.8 million in revenue this year, that means its stock is trading at a forward P/S ratio of 88. Moreover, if you assume Serve will deliver $57.8 million in revenue during 2026 as Wall Street expects, then its stock trades at a forward P/S ratio of just 10.3 based on that result. However, there is absolutely no guarantee that Serve will meet Wall Street's estimates, so investors who buy the stock today are taking a very big leap of faith. Plus, even though we don't know exactly why Nvidia sold its 3.7 million shares in Serve (which would be worth $39 million at the current price), it does take some of the shine away from the investment case. On the flip side, if investors think Serve will capture a significant portion of its estimated $450 billion addressable market by 2030, then its current stock price is probably a bargain. But it's important to keep the substantial risks in mind when buying into this story. Before you buy stock in Serve Robotics, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Serve Robotics wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $642,582!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $829,879!* Now, it's worth noting Stock Advisor's total average return is 975% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of May 19, 2025 Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia, Serve Robotics, and Uber Technologies. The Motley Fool recommends Magna International. The Motley Fool has a disclosure policy. Should You Buy Serve Robotics Stock After Its 55% Crash? This Recent Move by Nvidia Might Hold the Answer. was originally published by The Motley Fool Sign in to access your portfolio
Arabian Post
20-05-2025
- Health
- Arabian Post
Nurabot: Taiwan's AI Nurse Robot Eases Healthcare Strain
Taiwan's healthcare system is undergoing a significant transformation with the introduction of Nurabot, an AI-powered nursing assistant developed by Foxconn in collaboration with Kawasaki Heavy Industries. Designed to alleviate the workload of nursing staff, Nurabot is currently being trialed in several of Taiwan's leading hospitals, including Taichung Veterans General Hospital , Baishatun Tung Hospital, Mazu Hospital, and Cardinal Tien Hospital. Equipped with advanced real-time sensing capabilities, Nurabot performs tasks such as delivering medications, patrolling wards, and guiding visitors. According to Foxconn, the robot can reduce nurses' workloads by up to 30%, allowing them to focus more on direct patient care. Shu-Fang Liu, deputy director of the nursing department at TCVGH, noted that the integration of robotic assistants like Nurabot helps reduce physical fatigue among nurses by minimizing the need for repetitive tasks, such as multiple trips to supply rooms. Nurabot is part of a broader initiative by Foxconn to develop smart hospital tools using NVIDIA technology. This includes AI models for tracking patient vitals and digital twins for optimizing hospital design. The integration of these technologies begins at data centers where NVIDIA supercomputers train extensive AI models. Hospitals then test and train robots in virtual environments before deploying them in real-time scenarios, utilizing NVIDIA technologies like Jetson Orin, Holoscan, and the Omniverse platform. Taiwan's commitment to digital health transformation is further exemplified by the Ministry of Health and Welfare's establishment of three AI centers aimed at advancing e-health. These centers focus on responsible AI execution, clinical AI certification, and AI impact research. Sixteen hospitals have been selected as 'indicator hospitals' to test and demonstrate these technologies, including National Taiwan University Hospital and Chang Gung Memorial Hospital. See also Bitcoin Power Theft Ring Exposed in Terengganu Raids In addition to Nurabot, other AI-driven initiatives are being implemented across Taiwan's healthcare institutions. Chi Mei Medical Center has deployed AI copilots to assist doctors, nurses, and pharmacists. These AI systems have significantly reduced the time required for tasks such as medical report writing and documentation of bed transfers, allowing healthcare professionals to spend more quality time with patients. Dr. Chia-Te Liao, director of Chi Mei's Center for Empirical Evidence and Health Policy, emphasized that the AI copilots are designed to support, not replace, medical staff, aiming to improve work-life balance and patient care. At China Medical University Hospital , AI models have been integrated into clinical practice to enhance diagnostic accuracy and efficiency. For instance, an AI-powered 'intelligent antimicrobial system' has reduced patient mortality by 25%, antibiotic costs by 30%, and antibiotic use by 50%. These AI models, hosted on Microsoft's Azure cloud platform, assist in diagnosing diseases like cancer and Parkinson's, and in treating stroke and heart attack patients more promptly. The adoption of AI and robotics in Taiwan's healthcare system addresses challenges posed by an aging population and a shortage of nursing professionals. By integrating advanced technologies, hospitals aim to enhance patient care, improve operational efficiency, and ensure sustainable healthcare delivery. While initial resistance from medical staff regarding the adoption of AI tools was observed, ongoing education and demonstration of the benefits have facilitated smoother integration into daily workflows.
Hindustan Times
20-05-2025
- Health
- Hindustan Times
Foxconn unveils Nurabot at Computex 2025, AI-powered future for nursing care
At Computex 2025 in Taipei, Nvidia CEO Jensen Huang spotlighted a standout innovation that could reshape the healthcare industry: Nurabot, a collaborative nursing robot developed by Foxconn in partnership with Kawasaki Heavy Industries. Designed to combat nurse burnout and staff shortages, projected to reach 4.5 million globally by 2030, Nurabot is a shining example of how AI and robotics can ease pressure on clinical teams. Field-tested at Taichung Veterans General Hospital (TCVGH), Nurabot helps nurses by automating physically demanding and repetitive tasks, such as delivering medication, transporting specimens, and patrolling wards. With Nvidia's Jetson Orin edge computing platform and Holoscan sensor processing, Nurabot navigates hospital environments efficiently and safely. Virtual training via Nvidia Isaac for Healthcare and Omniverse simulations ensures the robot is well-prepared before real-world deployment. Mobile Finder: Samsung Galaxy S25 Edge launched in India 'In one of our wards, Nurabot delivers wound care kits and health education materials,' said Shu-Fang Liu, deputy director of nursing at TCVGH. 'It saves multiple trips, reduces fatigue, and frees us to focus more on patients.' Foxconn's broader vision for AI-enabled smart hospitals is built on Nvidia's full-stack solution, from data centre to bedside. Using DGX systems at its Hon Hai Super AI Computing Center and the Nvidia NeMo framework, Foxconn has developed FoxBrain, a large language model capable of speech recognition and natural dialogue. It powers Nurabot and supports the CoDoctor AI platform, improving diagnostics in fields like cardiology, oncology, and ophthalmology. Hospitals such as TCVGH, Cardinal Tien, and Baishatun Tung – Mazu Hospital are also benefiting from digital twins, created in Nvidia Omniverse, to design and optimise ward layouts and train robotic assistants in realistic 3D simulations. TCVGH's ongoing trial of Nurabot is already seeing strong results, with plans to deploy dozens more units by year-end. Liu hopes future versions will interact in multiple languages and assist with patient mobility, allowing a single nurse to safely move a patient, where two are typically needed.
