Latest news with #machinelearning
Yahoo
a day ago
- Climate
- Yahoo
From droughts to downpours: How AI is revolutionizing extreme weather forecasting
The Brief A new groundbreaking study uncovers ways to use A.I. to prepare for extreme weather. A.I. could even help predict wildfires. Issues remain about the ethical use of this technology, and trust in the data. MILWAUKEE - There is a lot of talk these days about artificial intelligence or A.I., and that is also true in the world of weather forecasting. A.I. is rapidly transforming how we model, detect, and respond to extreme weather and climate events. In a 2025 review published in Nature Communications, a team of researchers explored the full potential of A.I. and its ability to forecast floods, droughts, heatwaves, and even wildfires. The goal was to uncover ways to help communities prepare before disaster strikes. FREE DOWNLOAD: Get breaking news alerts in the FOX LOCAL Mobile app for iOS or Android What we know Machine learning and deep learning A.I. models were found to outperform some traditional forecasting techniques and seemed to excel at identifying and predicting extreme events. That accuracy went up when multiple data sources were integrated into the models, like satellite imagery, climate data, and ground sensors. The study went beyond basic forecasting and used A.I. to explore the "why," "what if," scenarios of different extreme weather events and even asked A.I. "how confident" it was in those predictions. Droughts: Hybrid models were able to help predict impacts on agriculture and forest health. Heatwaves: Specific models were able to give improved forecasts of regional temperature anomalies. Wildfires: Deep learning A.I. was able to provide early detection of dangerous fire events. Floods: A.I. was seen to enhance early warning systems and real-time alerts. The other side Not everything in the study was a net positive. The authors clearly stressed the need for transparent, ethical, and localized AI systems, particularly in high-stakes scenarios where false alarms can erode public trust or mislead disaster responses. In short, A.I. isn't ready to be handed the reins and will still need significant human oversight, but it could be an amazing tool for forecasters in the very near future. There are other significant hurdles as well, such as: Data Limitations: Extreme events, by their very nature, are rare, which makes it hard to train A.I. models. There's also a shortage of data that reflects the diverse geographic and socio-economic realities of our country and our planet. Integration Issues: AI models, in some cases, under-performed traditional methods. Real-world applications came up short due to high uncertainty, and incomplete data. SIGN UP TODAY: Get daily headlines, breaking news emails from FOX6 News What's next To unlock A.I.'s full potential, the study's authors suggest we develop better datasets that are tailored for each type of extreme weather event. They call for greater collaboration across A.I., climate science, and policy disciplines and again stress the need for ethical safeguards, especially for vulnerable communities. The Source Camps-Valls, G., Fernández-Torres, M.Á., Cohrs, K.-H., Höhl, A., Castelletti, A., Pacal, A., et al. (2025). Artificial intelligence for modeling and understanding extreme weather and climate events. Nature Communications, 16, 1919.
Bloomberg
2 days ago
- Business
- Bloomberg
China's Startups Race to Dominate the Coming AI Robot Boom
A few weeks ago, a Chinese startup called EngineAI gave an unusual demonstration of how today's robots learn. A female instructor with long blonde hair showed off a series of dance steps and then encouraged the company's humanoid robot to imitate her moves. 'Five, six, seven, eight,' she said. 'Let's go! Keep the flow.' Using computer vision and machine learning algorithms, the machine watched and listened — and then mimicked a series of steps from her dance routine. Over a few days, EngineAI's robot mastered the Axe Gang dance from the 2004 movie Kung Fu Hustle. A bit silly perhaps, but the dance represents a serious step for China's tech industry. After years of American companies like Boston Dynamics Inc. leading the development of humanoid — or people-shaped — machines, Chinese upstarts are now pushing the boundaries of innovation. In April, Beijing hosted the world's first robot half-marathon, where the city's X-Humanoid bested a field of 20 other bipedal machines. In May, Unitree Robotics, one of the country's prominent players, showcased its machines in what was billed as the first robot kickboxing tournament. While these events don't always go smoothly — 15 of 21 robots failed to complete the Beijing race — the point is progress, not perfection. China, which already has a higher density of robots per human on its factory floors than the likes of the US and Japan, is preparing humanoids to move into increasingly complex roles. EngineAI, Unitree and their competitors have started trials for everything from sorting garbage and delivering medicines in nursing homes to patrolling the streets alongside police officers and guiding tours through museums. The bots are quietly being tested for military combat, according to local media reports. Zhao Tongyang, founder and chief executive officer of EngineAI, figures 50 or 60 companies in China are working on humanoid development now, benefiting from the country's manufacturing expertise and robust government support. They're harnessing artificial intelligence models so the machines can learn how to handle new tasks on their own, without laborious programming for each situation. The company says it has orders for hundreds of its humanoids. 'China has many players involved and there are some very good talents among them,' said the 43-year-old Zhao during an interview over Zoom. 'I hope China will be first when it comes to robots.' The country's startups have caught the attention of Elon Musk, whose Tesla Inc. has set its sights on the humanoid market. On an April conference call, the billionaire said he thinks his Optimus robots lead the industry in performance, but China may end up dominating the field. 'I'm a little concerned that on the leaderboard, ranks 2 through 10 will be Chinese companies,' he said. Leadership in this field matters because humanoids appear poised to move beyond the realms of sci-fi and curiosity. Citigroup Inc. recently projected the market for the machines and related services will surge to $7 trillion by 2050 when the world could be populated by 648 million human-like bots. Beyond the monetary rewards are mind-rattling strategic implications for governments and countries. Whoever leads development of these humanoids could potentially command an army of indefatigable workers, caregivers and soldiers, redefining economic and political strength. Musk made the case in mid-May that the global economy could grow to 10 times its current size with the addition of robot labor. 'It unlocks an immense amount of economic potential,' Musk said during an appearance in Saudi Arabia. 'We're headed to a radically different world.' China's strength in this field isn't an accident. President Xi Jinping and the Communist Party sketched out blueprints for developing strategic technologies — including robotics — more than a decade ago. Local officials then offered financial incentives and support to entrepreneurs to reach Beijing's policy goals. In EngineAI's case, the Shenzhen government helped connect Zhao with funding and other resources. 'Although it is not the government that directly invests in us, at least the government's money is used to guide them to this industry and guide funds in this direction,' the founder said. 'I think this is a great thing.' China announced earlier this year it would invest 1 trillion yuan ($138 billion) in robotics and high tech in the next two decades, far more than the US or Europe. The US has formidable players in robotics — including Boston Dynamics, Agility Robotics, Figure AI and Tesla — and a long track record of technology breakthroughs. Yet some scholars warn that Beijing's approach may give China the edge in developing strategically important, capital-intensive sectors, like it has already done with electric vehicles and solar panels. 'The Chinese model of state-run capitalism might actually be better equipped,' said Julian Mueller-Kaler, director of the Strategic Foresight Hub at the Washington D.C.-based think tank, Stimson Center. 'Digital and tech advancements are geopolitical issues of the highest order.' While it's still possible the humanoid market never takes off, China is making an audacious bet that it will. The country is on track to produce more than 10,000 humanoid robots this year, or more than half of the machines globally, according to an April study from the China think tank Leaderobot and other institutions. 'China is winning the humanoids war, I have no doubt,' said Henrik I. Christensen, director of the Contextual Robotics Institute at the University of California San Diego. Zhao's career mirrors the country's embrace of robotics. After majoring in automation at university, he got into the field eight years ago, motivated not so much by Beijing's strategic priorities as the prospects for innovation. 'I believed that humanoid robots would definitely change the way of life for human beings,' he said. His timing was fortuitous. A few years earlier, Beijing had unveiled an ambitious program called Made in China 2025, which set goals for technological accomplishments over the next decade. The Communist Party's drive to develop humanoid technology stemmed from a looming labor crunch. The working-age population is expected to shrink by about 22% through 2050, according to the Lowy Institute in Sydney. The squeeze is particularly acute in manufacturing, with a projected shortfall of 30 million workers in 10 sectors by the end of this year, according to a report from government agencies, including the Ministry of Industry and Information Technology. This gap is aggravated by the younger generation's reluctance to take the kind of blue-collar factory jobs their parents embraced. China's strategy is to integrate people-like robots across sectors like manufacturing, healthcare and hospitality. Factory floors in China already boast a robot density that eclipses Germany and Japan, with levels doubling in just four years. It had 470 robots per 10,000 employees in 2023, well above the US at 295 robots for the same number of workers, according to the International Federation of Robots. Artificial intelligence models are helping humanoid robots become smarter, more adaptable machines. Startups like EngineAI and Unitree are refining their AI applications, allowing robots to see and recognize objects, plan movements, coordinate with each other and teach themselves how to adapt to new situations. 'Previously, robots were very stupid, right?' said Chang Lin, the co-founder and CEO of Leju Robotics, another ambitious startup. Today, the evolution of large language models, like those powering ChatGPT and DeepSeek, is bestowing intelligence on machines so they can learn tasks from their owners, he said. You could, for example, train one of the company's Kuavo robots how you want it to clean the floors or care for the flowers in your house — and then it would take over. 'It'll be easy,' he said. 'Form a data set for watering flowers, it will naturally water the flowers.' This kind of progress has China's robots making their way into the real world. UBTech Robotics Corp., based in Shenzhen, has deployed its 5-foot-6-inch Walker S1 to help assemble iPhones for Apple partner Foxconn Technology Group. More than 500 of its machines work in the auto factories of BYD Co., Geely Automobile Holdings Ltd. and FAW-Volkswagen, lifting boxes, sorting components and testing instruments. At the FAW-Volkswagen plant, they detect refrigerant leaks in air-conditioning systems, a task that could hurt the lungs of humans. Leju, also based in Shenzhen, is pushing the use of humanoids to sort and deliver medicines at elder-care facilities. At least a hundred of its machines have been delivered to carmakers including BAIC Motor Corp. and Nio Inc., exhibition halls in China and nursing homes in Suzhou. Colleges have also bought Leju robots for doing research. Susanne Bieller, general secretary of the Frankfurt-based International Federation of Robotics, sees China emerging as a leading player in humanoids as the country's startups work with its manufacturers to bring down costs and make machines more affordable. 'Within the next 5 to 10 years, we can expect it to be more widely adopted in industry,' she said. EngineAI spent years improving its robots' joints, making them lighter and smaller, while whittling away at expenses. In one case, Zhao and his 40-person engineering team redesigned a power joint that cost 20,000 to 30,000 yuan so they could produce it themselves for one-tenth the cost. Zhao also grew obsessed with figuring out how to create robots that could walk with a natural, human-like gait. He told staff early machines that take slow, awkward steps should be thrown in the trash. EngineAI built humanoids with refined leg joints and then integrated machine learning with neural networks so the machines could learn to walk, much like a real toddler. 'Collect a lot of very beautiful data from the human body, combine these data and let it walk,' he said. Still, even the most elegant humanoids won't have a future unless they provide value. People-like machines captured the popular imagination at least as far back as Isaac Asimov's writings in the 1950s, yet they've remained largely a novelty. Boston Dynamics has impressed tech geeks since its founding in 1992, but it's never built much of a business. Google and SoftBank Group Corp. each bought the startup and then sold it again without commercial success; it's now owned by Hyundai Motor Co. In Beijing, the humanoid half marathon meant to showcase the machines' capabilities instead demonstrated their limitations. One robot participant fell at the starting line. Another had its head fall off and roll on the ground. In the kickboxing tournament this month, the Unitree robots often lashed out at thin air or toppled over on their own, even though they were controlled by humans ringside. The vibe was less Terminator, more Rock 'Em Sock 'Em Robots. Humanoids 'just don't make economic sense for most people and companies for the foreseeable future,' said Romain Moulin, CEO of the French startup Exotec, which makes box-like robots for warehouses that he thinks are more utilitarian. Nevertheless, the number of believers is growing. In its 83-page report, Citigroup tapped 10 of its own staff and seven contributors to explain why it sees robots as a yawning opportunity. It describes such machines as 'physical AI' and predicts they will be used for autonomous driving, cleaning and deliveries. It forecasts that humanoids will be the fastest-growing segment of the robot market, with the flexibility to work in health care, factories, home cleaning, deliveries, supermarkets and hospitality. 'A big part of the thesis for humanoids is simple – we have engineered our manmade world to work for humans so humanoids can fit straight in without significant infrastructure changes,' the authors wrote. Musk has become a leading advocate. He said in April he expects to have thousands of Optimus robots working in Tesla factories by the end of the year, and he is confident of getting to a million units a year in less than five years. The robots aren't on sale for others yet, but they're expected to cost $20,000 to $30,000 as they hit the market in 2027. The economics of such machines will then become clearer, Citi contends. If Musk's prediction is accurate that humanoids cost about $25,000, the analysts calculate they would pay for themselves in 36 weeks, if compared with the lowest US minimum wage of $7.25. The payback equations are more compelling in the states and jobs where wages are higher. 'The argument for humanoids is not just economic. Some jobs are dangerous or undesirable for humans and are better suited for robots. In other cases, labour shortages exist and can fill these roles. Robots also don't leave or take holidays,' they wrote. Chang, the Leju Robotics CEO, said the growing number of humanoid startups in China is driving intense competition. Scores of companies have to race their rivals to integrate AI capabilities and physical innovations. 'The more people enter the industry, the better the industry will be,' he said. 'So what we need to do is to try our best to stay ahead.'— Saritha Rai and Jessica Sui
Phone Arena
5 days ago
- Business
- Phone Arena
$9 billion in fraud didn't make it to your iPhone – Apple just showed the 'receipts'
Apple has always leaned into its reputation for strong security and while its closed-off ecosystem often gets flak – especially in places like the EU – the company has been consistent about one thing: keeping the App Store safe. Now, Apple's pulling back the curtain and revealing some pretty massive numbers that show just how far it's gone to fight fraud over the past five to its latest App Store fraud report, Apple says it's stopped over $9 billion in fraudulent transactions since 2019 – and more than $2 billion of that just in 2024. That's a big flex from the company, which uses a mix of machine learning and human review to keep bad actors out. In fact, just in 2024 alone, Apple says it terminated 146,000 shady developer accounts, rejected another 139,000 sign-up attempts and blocked or deactivated nearly 129 million customer accounts to prevent fraud like review manipulation, spam and shady ratings. That's a whole lot of shady attempts creeping toward our iPhones. | Image credit – Apple But Apple's efforts go beyond just App Store accounts. It is also targeting pirate storefronts – those sketchy third-party sites pushing malware-laced or pirated apps. In 2024, Apple blocked over 10,000 of these rogue apps and just in the past month, stopped around 4.6 million attempts to install or launch apps outside the App Store or approved marketplaces. The app review process doesn't mess around. | Image credit – Apple Before any app hits the App Store, it is screened by Apple's App Review team, which checks around 150,000 submissions a week. Last year alone, they helped 220,000 developers launch their first they are not just skimming the surface – Apple reviewed over 7.7 million apps in 2024 and rejected 1.9 million that didn't meet its standards. That includes privacy violations, hidden features, spam or attempts to copy other review process also sniffs out more subtle tricks. Developers often try to sneak in dangerous features that only activate after approval or use bait-and-switch tactics to trick users. Apple rejected over 43,000 apps for hidden features and 17,000 more for shady behavior like that. It also took down 37,000 fraudulent apps tied to suspicious developer networks and rejected over 320,000 apps for being spammy, deceptive or misleading. In 2024, Apple handled more than 1.2 billion ratings and reviews. | Image credit – Apple Apple's also cracking down on discovery fraud – stuff like fake downloads, paid-for five-star reviews or ranking manipulation. In 2024, the company processed over 1.2 billion ratings and reviews and removed more than 143 million that were fake or also yanked over 7,400 apps from the App Store charts and nearly 9,500 more from search results. That means legit developers get a fairer shot at being discovered. The numbers are huge. | Image credit – Apple Fraudulent payments and stolen credit cards are a big threat and Apple says it stopped more than $2 billion in scam transactions in 2024 alone. Its tools, like Apple Pay and StoreKit, are designed with security at the core. Apple Pay doesn't even share your card number with developers and everything's encrypted end-to-end.
RNZ News
6 days ago
- Health
- RNZ News
The good, the bad, and the apocalypse: Tech pioneer Geoffrey Hinton lays out his stark vision for AI
It's the question that keeps Geoffrey Hinton up at night: What happens when humans are no longer the most intelligent life on the planet? "My greatest fear is that, in the long run, the digital beings we're creating turn out to be a better form of intelligence than people." Hinton's fears come not from a place of fear, but of knowledge. Described as the Godfather of AI, he is a pioneering British-Canadian computer scientist whose decades of work in artificial intelligence earned him global acclaim. His career at the forefront of machine learning began at its inception - before the first Pacman game was released. But after leading AI research at Google for a decade, Hinton left the company in 2023 to speak more freely about what he now sees as the grave dangers posed by artificial intelligence. Talking on this weeks's 30 With Guyon Espiner , Hinton offers his latest assessment of our AI-dominated future. One filled with promise, peril - and a potential apocalypse. Hinton remains positive about many of the potential benefits of AI, especially in fields like healthcare and education. "It's going to do wonderful things for us," he says. According to a report from this year's World Economic Forum, the AI market is already worth around US$5 billion in education. That's expected to grow to US$112.3 billion in the next decade. Proponents like Hinton believe the benefits to education lie in targeted efficiency when it comes to student learning, similar to how AI assistance is assisting medical diagnoses. "In healthcare, you're going to be able to have [an AI] family doctor who's seen millions of patients - including quite a few with the same very rare condition you have - that knows your genome, knows all your tests, and hasn't forgotten any of them." He describes AI systems that already outperform doctors in diagnosing complex cases. When combined with human physicians, the results are even more impressive - a human-AI synergy he believes will only improve over time. Hinton disagrees with former colleague Demis Hassabis at Google Deepmind, who predicts AI learning is on track to cure all diseases in just 10 years. "I think that's a bit optimistic." "If he said 25 years I'd believe it." Despite these benefits, Hinton warns of pressing risks that demand urgent attention. "Right now, we're at a special point in history," he says. "We need to work quite hard to figure out how to deal with all the short-term bad consequences of AI, like corrupting elections, putting people out of work, cybercrimes." He is particularly alarmed by military developments, including Google's removal of their long-standing pledge not to use AI to develop weapons of war. "This shows," says Hinton of his former employers, "the company's principals were up for sale." He believes defense departments of all major arms dealers are already busy working on "autonomous lethal weapons. Swarms of drones that go and kill people. Maybe people of a particular kind". He also points out the grim fact that Europe's AI regulations - some of the world's most robust - contain "a little clause that says none of these regulations apply to military uses of AI". Then there is AI's capacity for deception - designed as it to mimic the behaviours of its creator species. Hinton says current systems can already engage in deliberate manipulation, noting Cybercrime has surged - in just one year - by 1200 percent. At the heart of Hinton's warning lies that deeper, existential question: what happens when we are no longer the most intelligent beings on the planet? "I think it would be a bad thing for people - because we'd no longer be needed." Despite the current surge in AI's military applications, Hinton doesn't envisage an AI takeover being like The Terminator franchise. "If [AI] was going to take over… there's so many ways they could do it. I don't even want to speculate about what way [it] would choose." For those who believe a rogue AI can simply be shut down by "pulling the plug", Hinton believes it's not far-fetched for the next generation of superintelligent AI to manipulate people into keeping it alive. This month, Palisade Research reported that Open AI's Chat GPT 03 model altered shut-down codes to prevent itself from being switched off - despite being given clear instructions to do so by the research team. Perhaps most unsettling of all is Hinton's lack of faith in our ability to respond. "There are so many bad uses as well as good," he says. "And our political systems are just not in a good state to deal with this coming along now." It's a sobering reflection from one of the brightest minds in AI - whose work helped build the systems now raising alarms. He closes on a metaphor that sounds absurd as it does chilling: "If you want to know what it's like not to be the apex intelligence, ask a chicken." Watch the full conversation with Geoffrey Hinton and Guyon Espiner on 30 With Guyon Espiner . Subscribe to the podcast feed now to get every episode of 30 on your phone when it lands: On Spotify On iHeartRadio On Apple podcasts
Associated Press
22-05-2025
- Business
- Associated Press
Spectral Capital Targets 500 Patents by June 30, 2025
SEATTLE, May 22, 2025 /PRNewswire/ -- Spectral Capital Corporation (OTCQB: FCCN) today announced it has completed 16 new provisional patent applications, expanding its total patent portfolio to 120. These recent filings – many at the cutting edge of machine learning and quantum computing – reinforce Spectral's aggressive innovation strategy. The company also unveiled an ambitious goal of reaching 500 patents by June 30, 2025, a target that would establish Spectral as one of the most prolific patent holders in quantum computing and ultra high-performance AI systems (including autonomous driving technologies). Key Highlights: Patent Portfolio Growth: 16 new provisional patent applications filed, bringing Spectral's total patent assets to 120. This bolsters Spectral's position at the forefront of quantum computing and AI innovation Quantum + AI Breakthroughs: Many of the latest patents focus on the intersection of quantum computing and machine learning, a convergence poised to drive ultra high-performance AI systems (from advanced cybersecurity to real-time autonomous driving, decision-making). Expanded R\&D Team: Spectral has engaged 3 veteran technologists (experts in AI and quantum research) and engaged outside patent counsel to accelerate IP development. Management believes this expanded team will help achieve 500 patentable innovations by June 30, 2025, by streamlining the path from lab discoveries to patent filings. Industry-Leading Ambition: With a 500-patent target, Spectral aims to build one of the largest intellectual property portfolios in the hybrid quantum-classical computing industry. Hitting this goal would position Spectral among the top patent holders in its sector, rivaling or surpassing many well-known quantum computing companies and AI startups in portfolio size. Pioneering Patents at the Quantum–AI Intersection Spectral's new patent applications underscore its focus on innovations that blend quantum computing with artificial intelligence. These include novel algorithms, architectures, and hardware designs that leverage quantum principles to boost AI performance. By applying quantum machine learning techniques to high-demand applications – for example, improving the real-time sensor processing and decision-making of self-driving cars – Spectral is pushing the envelope of what ultra high-performance AI systems can achieve. This concentrated effort in quantum-AI R\&D not only opens avenues for breakthrough products but also strengthens Spectral's intellectual property moat in these fast-evolving fields. 'Our expanding patent portfolio underscores Spectral's commitment to pioneering next-generation solutions in quantum computing and AI,' said Jenifer Osterwalder, Chief Executive Officer of Spectral Capital. 'Each new patent application represents a step toward integrating quantum technology into everyday AI systems, from safer autonomous vehicles to more secure cloud computing. With 120 patents now and a clear line of sight to 500 by June 2025, we're securing our inventions and solidifying Spectral's leadership at the intersection of these transformative technologies.' Team Expansion Fuels Accelerated Innovation To drive this rapid pace of innovation, Spectral has significantly strengthened its development team. The company recently engaged three seasoned experts with deep experience in quantum computing, machine learning, and high-performance computing system design. In addition, Spectral has engaged a leading patent law firm as external counsel to support the patent drafting and prosecution process. Spectral's management believes that combining new in-house expertise with outside specialized counsel will greatly increase the throughput of patentable ideas from the lab to the patent office. 'By augmenting our team with proven innovators and partnering with top patent counsel, we're creating an IP engine that can deliver on our goal of 500 patents,' noted Osterwalder. The company expects this bolstered capability to streamline the conversion of R\&D breakthroughs into protected intellectual property, keeping pace with Spectral's aggressive timeline. Management is confident that the expanded team can help achieve the 500-patent goal by June 30, 2025, turning Spectral's vision of an unprecedented patent portfolio into reality. Leading the Patent Race in Quantum Computing and AI With 120 patents already in its portfolio, Spectral now stands out as one of the most IP-rich startups in the quantum computing and advanced AI arena. For context, many dedicated quantum computing companies have far smaller patent libraries – for example, Rigetti Computing's portfolio numbered around 110 patents as of 2022, and IonQ's about 164 patents. Spectral's rapid progress, largely enabled by its acquisition of 104 patentable innovations last year and continued in-house development, has swiftly pushed it past several peers. If Spectral reaches its 500-patent objective, it would rival the patent holdings of long-established industry players. D-Wave Systems, one of the earliest quantum computing companies, has roughly 500 total patents in its portfolio. Even tech giants like Microsoft have on the order of 500 quantum computing patents. Spectral's mid-2025 target would put its patent count in the same league – an extraordinary feat for an emerging company. By contrast, many AI-focused startups file relatively few patents (for instance, OpenAI has filed only 6 patents globally to date), highlighting how Spectral's strategy of vigorous patent development sets it apart from the pack. This leadership in IP accumulation is more than a numbers game: it signals Spectral's determination to dominate key technological domains. The company's patents span critical areas from quantum-enhanced AI algorithms and quantum cybersecurity to autonomous driving systems and beyond. Spectral's recent strategic foray into the self-driving car sector – including a stake in a top-100 global AI autonomous driving innovator – aligns with its patent focus on high-performance AI; several new filings are expected to support breakthroughs in safer, smarter autonomous vehicles. By securing broad patent protection now, Spectral is positioning itself as a premier innovator and intellectual property leader in both quantum computing and next-generation AI, well ahead of many competitors. About Spectral Capital Corporation Spectral Capital Corporation is a publicly traded deep technology platform company at the forefront of the quantum computing revolution. The company specializes in Quantum-as-a-Service (QaaS) solutions, developing a sustainable green cloud computing infrastructure, unhackable quantum databases, and advanced quantum chip technologies. Spectral's innovations target a range of industries – from telecommunications and cybersecurity to artificial intelligence and clean energy – with a vision of delivering decentralized, ultra-secure, and scalable computing power. With its flagship Vogon™ cloud platform and a rapidly growing patent portfolio, Spectral is committed to driving the future of hybrid classical-quantum computing and enabling the next wave of high-performance AI applications. Forward-Looking Statements This press release contains forward-looking statements (as defined in Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended) concerning future events and FCCN's growth and business strategy. Words such as 'expects,' 'will,' 'intends,' 'plans,' 'believes,' 'anticipates,' 'hopes,' 'estimates,' and variations on such words and similar expressions are intended to identify forward-looking statements. Although FCCN believes that the expectations reflected in such forward-looking statements are reasonable, no assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates that are inherently subject to significant uncertainties and contingencies, many of which are beyond the control of FCCN. Actual results may differ materially from those expressed or implied by such forward-looking statements. Factors that could cause actual results to differ materially include, but are not limited to, changes in FCCN's business; competitive factors in the market(s) in which FCCN operates; risks associated with operations outside the United States; and other factors listed from time to time in FCCN's filings with the Securities and Exchange Commission. FCCN expressly disclaims any obligations or undertaking to release publicly any updates or revisions to any forward-looking statements contained herein to reflect any change in FCCN's expectations with respect thereto or any change in events, conditions or circumstances on which any statement is based. For more information, please visit Spectral Capital. View original content to download multimedia: SOURCE Spectral Capital Corporation
