Latest news with #JetsonOrin
Forbes
7 days ago
- Business
- Forbes
Russia Has An Arsenal Of New AI Drones Built With Smuggled U.S. Chips
Intelligence images of a downed Shahed MS001 drone with NVIDIA Jetson Orin AI hardware Ukraine MoD The drone war in Ukraine has become an AI arms race as both sides rush to deploy AI-enabled systems which are immune to radio interference, making protective jammers useless, and which can find and attack targets on their own. This arms race is driven by hardware from the world's biggest company, NVIDIA. Sanctions should prevent Russia from acquiring NVIDIA hardware, but their chips have been found as key components in the latest Russian, with several different types deployed all using NVIDIA hardware. NVIDIA is the world's largest company by market value, and the first ever to break the $4 trillion barrier. NVIDIA headquarters in Santa Clara of Silicon Valley, California Anadolu via Getty Images The company is incredibly successful, with an estimated an estimated 85% of the global AI chip market, because it makes what everyone wants: powerful hardware to drive AI. The chips, known as GPUs (Graphics Processor Units) or accelerators, differ from the typical computer chip or CPU (Central Processing Unit) in being able to handle lots of small tasks simultaneously rather than applying more power to a few tasks. This is parallel processing, and it is essential for most types of AI, which involve huge datasets. Their success is reminiscent of the chip wars of the 1980-90s when desktops PCs ground slowly through large spreadsheet calculations and other complex tasks. CPU power was vital and Intel rose to dominance, with ever-faster clock speeds and transistor counts in their 386, 486 and Pentium processors. NVIDIA is doing the same with GPUs in the 2020s, producing every more capable versions and outpacing the competition. NVDIA has several different families of chips for different applications, including high-power units for data centers and compact, low-power Jetson boards for edge devices like consumer electronics – and drones. Such single-board computers cost just a few hundred dollars. Timelapse image of AI-powered racing FPVs traversing the course faster than human pilots Regina Sablotny This is highly capable hardware. In 2021, a team from University of Zurich (UZH) led by Davide Scaramuzza demonstrated an AI system using a Jetson computer on a racing drone which was able to beat world-class human pilots for the first time. This system relied on external motion trackers to give the drones data, giving them an unfair advantage. But by 2023 , the UZH team had developed an AI system which was able to beat human champions using just onboard sensors and processing. 'We are very excited as this is the first time that AI beats a human in a physical sport designed by and for humans,' Scaramuzza told me at the time. The feat was replicated recently in Dubai when an AI-enabled drone from TU Delft, having beaten all the other AI drones, competed head-to-head against the human FPV racing winners in an AI vs Human Challenge, and won. Again, the teams used Jetson-based computers. 'Even in our earlier work, we had more than enough computational headroom,' Scaramuzza told me. The earlier version used the older Jetson TX2. Now drones have the new and more capable Jetson Orin which offers at least ten times as much computing power. 'Some of the algorithms we developed for our drone racers have found their way into companies like Skydio and Zipline, where several of my former students now work,' says Scaramuzza. While there is no indication that the software developed by UZH is being used Ukraine, others are certainly using AI-enabled systems powered by the same hardware, and which may be equally capable in terms of matching human operators. Back in 2023 Russian Lancet attack drones – a 35-pound weapon with a reach of 25 miles and a warhead capable of taking out a tanks – were found to have an NVIDIA Jetson TX2 'brain.' Smugglers reportedly ship the chips in small batches labelled as other components, sending them via several third-party countries to reach Russia. Frame of a Lancet attack with video with the 'target locked' indicator at the top of the screen showing it is in automated mode Russian MoD The Jetson drives AI giving Lancet 'lock on target' function allowing the operator to designate a target within the field of view. The Lancet then track the target, following it and running into it even if the communication link is lost. In 2024 this automated system appeared to be performing poorly, for example hitting a shadow next to the target rather than the target itself. For a time the function appeared to be disabled. But it was restored, presumably after software upgrades, and appears to have improved considerably. From data published on Russian weapon performance tracking site LostArmour in 2024 about 30% of Lancet hits involved automated guidance , that figure is now up to almost 60%. Now two new types of Russian drone have recently been found with the Jetson Orin. A third has entered services which likely uses the same technology. One of these was a new version of the Shahed attack drone, known as MS001 which in addition to the NVIDIA processor also had a thermal imager and digital modem. In a LinkedIn post, Ukrainian Major General Vladyslav Klochkov said that this was not simply a drone. 'This is a digital predator. It doesn't carry coordinates, it thinks,' stated Klochkov This is an exaggeration – the MS001 also has a satellite navigation system, so clearly it does carry co-ordinates. But unlike the basic Shahed which relies entirely on satellite navigation, the MS001 can identify objects on the ground using its thermal imager and AI and attack them. A downed Russian V2U attack drone with AI running on NVIDIA Jerson Orin hardware Ukraine MoD The second new drone is the smaller V2U. A report in Ukraine's Defense Express says this four-winged drone, similar in layout to the U.S. Switchblade 300 but carrying an 8-pound warhead, has a range of over 25 miles. The V2U has a high-resolution camera and a laser rangefinder, which, like the TERCOM system in the Tomahawk cruise missile allows it to navigate by comparing the terrain to a digital map. Like the MS001 it has a digital modem which connects to Ukraine's cellphone system to communicate with the operator. Again, the V2U is powered by an NVDIA Jerson Orin, which allows it to fly up and down roads looking for targets. 'They don't distinguish between military equipment and a civilian bus,' according to one Ukrainian report. According to other reports cited by Ukrainian electronics expert Serhii Flash the V2U works in teams, with each team member having different color makings on their wings. This likely allows the drones to distinguish each other and carry out their attacks in sequence without conflict and without needing radio communication. According to Flash, the drones are stacked one above another like circling vultures, so for example the 'blue' drone waits its turn until the 'red' drone has attacked. This is a basic version of swarming behavior but a significant step forward. Flash also notes that the V2U has limited intelligence when it comes to target discrimination and one attacked a public toilet rather than a vehicle. The Tyuvik, which resembles a miniatures Shahed, is another autonomous attack drone Russian MoD The third new AI Russian drone is known as Tyuvik ('Levant sparrowhawk') which resembles a scaled-down Shahed and is now in mass production. It has a range of 20 miles and carries a 4-pound warhead; it can find and attack striking moving vehicles and its intended targets are armored vehicles. No example has been captured and analyzed yet, but like V2U this flies to a specified location and then finds a target using machine vision. The makers Statim say Tyuvik is built from low-cost commercial components. Given that Russia does not make any suitable AI hardware, this again suggests an off-the-shelf Jetson Orin. All three drones may use similar software for navigation and target location, like the portable Prism software from FLIR now being integrated on U.S-made attack drones or the open-source software developed by Auterion. (A shipment of 33,000 new Auterion Skynode strike drone systems to Ukraine was announced recently). This type of setup allows new type of drone to be turned into autonomous 'digital predators' rapidly and at minimal cost. And as the software for navigation, flight and targeting is improved, the improvements can be shared across every drone type in the fleet. New functions, such as dogfighting or swarming, can be added as needed. We are at the dawn of the age of AI drones. Thanks to the ready availability of NVIDIA Jetsons, such technology is available to literally everyone. This genie is now very much out of the bottle. In the near future, 'dumb' drones lacking onboard AI may be as outdated as biplanes.
Yahoo
28-07-2025
- Business
- Yahoo
AEye Launches OPTIS™: A Complete Physical AI Solution, Powered by NVIDIA's Jetson Orin, that Delivers the Future of Smart Transportation, Safety, and Security
PLEASANTON, Calif., July 28, 2025--(BUSINESS WIRE)--AEye, Inc. (Nasdaq: LIDR), a pioneer in high-performance lidar technology and creator of the Apollo lidar sensor, today announced that it has begun field deployments of OPTIS™, a full-stack, flexible lidar solution designed to transform how customers across industries perceive and respond to their unique environments. As industries demand more real-time insight, greater operational efficiency, and adaptable technology, the need for a smarter, integrated sensing solution has become increasingly clear. OPTIS™ was purpose-built to meet this need, bridging the gap between perception and action in dynamic and complex settings. AEye is currently working with a curated group of partners to facilitate the unique step of opening its platform to a broad set of developers, which will allow OPTIS™ to incorporate a wide variety of innovative AI solutions. By combining AEye's long-range, software-defined Apollo lidar technology, capable of detecting objects up to one kilometer away, with advanced computing and physical AI, we expect to deliver integrated solutions to unlock new revenue streams and enhance the operational efficiency of our customers. OPTIS™ is a complete autonomous system that delivers high-resolution 3D perception of the physical world and enables real-time interpretation and responsive action. OPTIS™ is designed to enhance legacy infrastructure and to help fuel the transformation to intelligent, connected systems as the world shifts towards smart infrastructure enabled by physical AI. Leveraging Apollo's software-defined architecture, OPTIS™ customers should benefit from faster updates, lower total cost of ownership, and easier integration, eliminating the delays and complexity common with traditional hardware upgrades. "OPTIS™ enables AEye and our partners to deliver tailored solutions that address critical challenges, whether it's navigating autonomous vehicles around obstacles, ensuring traffic safety by managing right-of-way traffic flow, or identifying objects on the tracks to enhance next-generation rail safety," said Matt Fisch, CEO of AEye. "With an estimated addressable market of over $50 billion, OPTIS™ is unlocking a significant opportunity for us to expand into high-value applications. I'm proud to share that we already have multiple deployments underway in varied applications like airport safety and security, perimeter monitoring, and transportation logistics." "OPTIS™ is the natural evolution of our technology," Fisch added. "It builds on the strengths of Apollo to deliver something more powerful: a system that can be tailored to customer needs without requiring costly or time-intensive hardware changes. Powered by NVIDIA's Jetson Orin, OPTIS™ stands out as a best-in-class solution that drives rapid decision making where speed and precision matter most. This gives AEye, and our customers, a meaningful edge. As AEye continues to redefine what lidar can do, OPTIS™ marks a leap forward for the future of intelligent sensing and mobility." We're excited to officially launch and showcase OPTIS™ at the upcoming ITS World Congress in Atlanta, taking place from August 24 - 28, 2025. Visitors to our booth will get a firsthand look at how OPTIS™ is redefining intelligent infrastructure through high-resolution 3D perception and real-time responsiveness. This marks a major milestone for AEye as we bring our next-generation solution to the global stage and engage directly with industry leaders, partners, and customers. About AEye AEye offers unique software-defined lidar solutions that enable advanced driver-assistance, vehicle autonomy, smart infrastructure, security, and logistics applications that save lives and propel the future of transportation and mobility. AEye's flagship product, Apollo, has been widely recognized for its small form factor and its ability to detect objects at up to one kilometer. In addition to Apollo as a stand-alone sensor, AEye also offers a full-stack solution through its OPTIS™ platform. OPTIS™ provides a complete system that captures a high-resolution 3D image of the world, interprets it, and provides direction to act upon what it sees in real-time. Forward-Looking Statements Certain statements included in this press release that are not historical facts are forward-looking statements within the meaning of the federal securities laws, including the safe harbor provisions under the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements are sometimes accompanied by words such as "believe," "continue," "project," "expect," "anticipate," "estimate," "intend," "strategy," "future," "opportunity," "predict," "plan," "may," "should," "will," "would," "potential," "seem," "seek," "outlook," and similar expressions that predict or indicate future events or trends, or that are not statements of historical matters. Forward-looking statements are predictions, projections, and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Forward-looking statements in this press release include, without limitation, statements about the features and abilities of the OPTIS™ product, the market need for the OPTIS™ solution, the ability to incorporate a variety of third-party physical AI solutions as a part of OPTIS™, the total addressable market of more than $50 billion for the OPTIS™ product, among others. These statements are based on various assumptions, whether or not identified in this press release. These forward-looking statements are provided for illustrative purposes only and are not intended to serve as and must not be relied on by an investor as a guarantee, an assurance, a prediction, or a definitive statement of fact or probability. Actual events and circumstances are very difficult or impossible to predict and will differ from the assumptions. Many actual events and circumstances are beyond the control of AEye. Many factors could cause actual future events to differ from the forward-looking statements in this press release, including but not limited to: (i) the risks that OPTIS™ may not meet the need for smarter, integrated sensing solutions to the extent anticipated, or at all; (ii) the risks that developers may not incorporate their innovative AI solutions in OPTIS™ to the extent anticipated, or at all; (iii) the risks that OPTIS™ may not allow AEye to deliver an integrated solution that unlocks new revenue streams or enhances the operational efficiency of our customers to the extent anticipated, or at all; (iv) the risks that OPTIS™ may not deliver high-resolution 3D perception of the physical world nor enable real-time interpretation and responsive action to the extent anticipated by the marketplace, or at all; (v) the risks that OPTIS™ may not enhance legacy infrastructure to the extent anticipated, or at all; (vi) the risks that the customer benefits from faster updates, lower total cost of ownership, and easier integration, may not be realized by customers to the extent anticipated, or at all; (vii) the risks that OPTIS™ may not deliver the tailored solutions to customers to the extent anticipated, or at all; (viii) the risks that the estimated addressable market for OPTIS™ may be significantly less than $50 billion; (xi) the risks that lidar adoption may occur slower than anticipated or fail to occur at all; (x) the risks that AEye's products may not meet the diverse range of performance and functional requirements of target markets and customers; (xi) the risks that AEye's products may not function as anticipated by AEye, or by target markets and customers; (xii) the risks that AEye may not be in a position to adequately or timely address either the near or long-term opportunities that may or may not exist in the evolving autonomous transportation industry; (xiii) the risks that laws and regulations are adopted impacting the use of lidar that AEye is unable to comply with, in whole or in part; (xiv) the risks associated with changes in competitive and regulated industries in which AEye operates, variations in operating performance across competitors, and changes in laws and regulations affecting AEye's business; (xv) the risks that AEye is unable to adequately implement its business plans, forecasts, and other expectations, and identify and realize additional opportunities; and (xvi) the risks of economic downturns and a changing regulatory landscape in the highly competitive and evolving industry in which AEye operates. These risks and uncertainties may be amplified by current or future global conflicts and current and potential trade restrictions, trade tensions, and tariffs, all of which continue to cause economic uncertainty. You should carefully consider the foregoing factors and the other risks and uncertainties described in the "Risk Factors" section of the periodic report that AEye has most recently filed with the U.S. Securities and Exchange Commission, or the SEC, and other documents filed by us or that will be filed by us from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Investors are cautioned not to put undue reliance on forward-looking statements; AEye assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. AEye gives no assurance that AEye will achieve any of its expectations. View source version on Contacts Investor Relations Contacts Agency Contact Financial Profiles, Niu, CFAeniu@ 310-622-8243Company Contact AEye, Inc. Investor Relationsinfo@ 925-400-4366 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
18-07-2025
- Automotive
- Yahoo
An $860 Billion Opportunity: Is Serve Robotics Stock a Buy Based on This Forecast by Cathie Wood's Ark Invest?
Key Points Cathie Wood's Ark Invest exchange-traded funds hold stakes in some of the world's most innovative technology companies. Ark recently issued a forecast suggesting the logistics industry will be shaken up by autonomous vehicles, creating an $860 billion opportunity. Serve Robotics is an early leader in the autonomous delivery robot niche, and it already has a big deal with Uber Eats. 10 stocks we like better than Serve Robotics › Cathie Wood is one of the most vocal bulls on Wall Street when it comes to innovative technologies like artificial intelligence (AI), robotics, and autonomous vehicles. Her firm, Ark Invest, runs a set of exchange-traded funds (ETFs) that invest in companies operating in those industries. Earlier this year, Ark released the 2025 edition of its annual "Big Ideas" report, which featured updated forecasts for many of its favorite investing themes. In its look at the future of the logistics industry, the firm predicted there could be a whopping $860 billion revenue opportunity by 2030 for autonomous delivery robots, drones, and even trucks. Serve Robotics (NASDAQ: SERV) is a small-cap company worth just $600 million, but it's trying to transform last-mile logistics with its autonomous food delivery robots. It has a major contract with Uber Technologies to launch 2,000 robots this year, but that might be the tip of the iceberg if Ark's forecasts prove close to accurate. Is the stock a buy right now? Breaking down the opportunity Ark's $860 billion forecast is divided into three parts: $160 billion for food delivery, $280 billion for parcel delivery, and $420 billion for larger freight that would be delivered by autonomous trucks. Serve started with food delivery robots that navigate on sidewalks autonomously, but the company is moving into drones and other last-mile solutions that could eventually expand its reach into parcels. Serve's latest Gen3 robots run on Nvidia's Jetson Orin platform, which provides the computing power they need to operate autonomously. Those Gen3 robots operate with level 4 autonomy, meaning they can safely travel on sidewalks within designated areas without any human intervention. To capture the forecast $160 billion opportunity in autonomous food delivery by 2030 could require millions of robots operating all over the world. The 2,000 new Gen3 models that Serve will deploy this year under its deal with Uber Eats will help validate its business model and pave the way for a larger rollout. Around 250 hit the streets during the first quarter of 2025, with 700 more expected to be in use by the end of the third quarter, and the remainder coming online before the end of the year. The new robots enabled Serve to expand its service into Miami and Dallas earlier this year. In June, the company also started operating in Atlanta. Serve's revenue could soar, but it's losing truckloads of money Serve's revenue stream is quite lumpy right now, which is typical for a company in the scale-up phase. In the first quarter, revenue plunged by 53% year over year to $440,465. However, that decline was entirely due to the fact that the comparison was being made against a year-ago period during which its revenue was inflated by a one-off licensing payment of $850,000 from its manufacturing partner, Magna International. Moreover, Serve's first-quarter revenue was up by a whopping 150% from its result three months earlier (which wasn't distorted by unusual payments). This suggests there is some genuine momentum building in its delivery business. In fact, Wall Street's consensus estimate (provided by Yahoo! Finance) suggests Serve's 2025 revenue could come in at $6.8 million, which would be a 275% jump compared to 2024. Then in 2026, analysts believe Serve's revenue will surge by another 648% to $50.6 million as more of its robots go into service. But there's a glaring problem: Scaling an autonomous robotics business isn't cheap. Serve lost $13.2 million during the first quarter of 2025 alone, putting the company on track to exceed its 2024 net loss of $39.2 million by a wide margin. Even if Serve does deliver $6.8 million in revenue this year, that won't be anywhere near enough to offset the amount it's spending on line items like research and development. The company has around $197 million in cash on its balance sheet, so it can afford to lose money at its current pace for at least a couple more years, but it will have to chart a path to profitability soon. If it doesn't, it might need to raise capital again, which would dilute existing investors and dent their potential returns. Serve stock isn't cheap, but should investors buy it anyway? Serve stock trades at a sky-high price-to-sales (P/S) ratio of 368 as of July 15, which makes it a staggering 13 times more expensive by that metric than Nvidia. I'm going to be completely frank: Serve stock doesn't deserve to be trading at such a hefty premium, so it's difficult to make the case for buying it right now. However, the stock looks a little more reasonable if we value it based on its expected future revenue. If we assume the company will bring in $6.8 million this year as Wall Street expects, that gives the stock a forward P/S ratio of 89.6 -- still expensive, but a little less ludicrous. If we base its valuation on Wall Street's 2026 revenue forecast of $50.6 million, that places its stock at a 1-year forward P/S ratio of 12, which might even be considered cheap for a company growing this quickly. But it's impossible to know whether Serve can deliver as much revenue over the next couple of years as Wall Street expects. Therefore, short- to medium-term investors should probably proceed with caution. However, if Ark's 2030 forecasts for the autonomous logistics industry prove accurate, then investors who are willing to buy Serve stock today and hold onto it for at least the next five years or so could do well, despite its eye-watering valuation right now. Should you invest $1,000 in Serve Robotics right now? 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 $679,653!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,046,308!* Now, it's worth noting Stock Advisor's total average return is 1,060% — a market-crushing outperformance compared to 179% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of July 15, 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. An $860 Billion Opportunity: Is Serve Robotics Stock a Buy Based on This Forecast by Cathie Wood's Ark Invest? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
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.
