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Bienvenidos a una nueva entrega del 3DExpress, el espacio en que les compartimos noticias rápidas y variadas del mundo de la impresión 3D. Comenzamos con hito médico. El primer trasplante de fémur completo impreso en 3D realizado a un niño…

Event organizers have responded after over 250 developers from Brazil accused Gamescom Latam of failing to provide adequate support during the high-profile showcase.

Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to $631 billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least $1 million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle.(Image source: Unsplash)

show some love for the losers Delightfully irreverent Underdogs isn’t your parents’ nature docuseries Ryan Reynolds narrates NatGeo's new series highlighting nature's much less cool and majestic creatures Jennifer Ouellette – Jun 15, 2025 3:11 pm | 5 The indestructible honey badger is just one of nature's "benchwarmers" featured in Underdogs Credit: National Geographic/Doug Parker The indestructible honey badger is just one of nature's "benchwarmers" featured in Underdogs Credit: National Geographic/Doug Parker Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only   Learn more Narrator Ryan Reynolds celebrates nature's outcasts in the new NatGeo docuseries Underdogs. Most of us have seen a nature documentary or two (or three) at some point in our lives, so it's a familiar format: sweeping majestic footage of impressively regal animals accompanied by reverently high-toned narration (preferably with a tony British accent). Underdogs, a new docuseries from National Geographic, takes a decidedly different and unconventional approach. Narrated by with hilarious irreverence by Ryan Reynolds, the five-part series highlights nature's less cool and majestic creatures: the outcasts and benchwarmers, more noteworthy for their "unconventional hygiene choices" and "unsavory courtship rituals." It's like The Suicide Squad or Thunderbolts*, except these creatures actually exist. Per the official premise, "Underdogs features a range of never-before-filmed scenes, including the first time a film crew has ever entered a special cave in New Zealand—a huge cavern that glows brighter than a bachelor pad under a black light thanks to the glowing butts of millions of mucus-coated grubs. All over the world, overlooked superstars like this are out there 24/7, giving it maximum effort and keeping the natural world in working order for all those showboating polar bears, sharks and gorillas." It's rated PG-13 thanks to the odd bit of scatalogical humor and shots of Nature Sexy Time Each of the five episodes is built around a specific genre. "Superheroes" highlights the surprising superpowers of the honey badger, pistol shrimp, and the invisible glass frog, among others, augmented with comic book graphics; "Sexy Beasts" focuses on bizarre mating habits and follows the format of a romantic advice column; "Terrible Parents" highlights nature's worst practices, following the outline of a parenting guide; "Total Grossout" is exactly what it sounds like; and "The Unusual Suspects" is a heist tale, documenting the supposed efforts of a macaque to put together the ultimate team of masters of deception and disguise (an inside man, a decoy, a fall guy, etc.).  Green Day even wrote and recorded a special theme song for the opening credits. Co-creators Mark Linfield and Vanessa Berlowitz of Wildstar Films are longtime producers of award-winning wildlife films, most notably Frozen Planet, Planet Earth and David Attenborough's Life of Mammals—you know, the kind of prestige nature documentaries that have become a mainstay for National Geographic and the BBC, among others. They're justly proud of that work, but this time around the duo wanted to try something different. Madagascar's aye-aye: "as if fear and panic had a baby and rolled it in dog hair" National Geographic/Eleanor Paish Madagascar's aye-aye: "as if fear and panic had a baby and rolled it in dog hair" National Geographic/Eleanor Paish An emerald jewel wasp emerges from a cockroach. National Geographic/Simon De Glanville An emerald jewel wasp emerges from a cockroach. National Geographic/Simon De Glanville A pack of African hunting dogs is no match for the honey badger's thick hide. National Geographic/Tom Walker A pack of African hunting dogs is no match for the honey badger's thick hide. National Geographic/Tom Walker An emerald jewel wasp emerges from a cockroach. National Geographic/Simon De Glanville A pack of African hunting dogs is no match for the honey badger's thick hide. National Geographic/Tom Walker A fireworm is hit by a cavitation bubble shot from the claw of a pistol shrimp defending its home. National Geographic/Hugh Miller As it grows and molts, the mad hatterpillar stacks old head casings on top of its head. Scientists think it is used as a decoy against would-be predators and parasites, and when needed, it can also be used as a weapon. National Geographic/Katherine Hannaford Worst parents ever? A young barnacle goose chick prepares t make the 800-foot jump from its nest to the ground. National Geographic An adult pearlfish reverses into a sea cucumber's butt to hide. National Geographic A vulture sticks its head inside an elephant carcass to eat. National Geographic A manatee releases flatulence while swimming to lose the buoyancy build up of gas inside its stomach, and descend down the water column. National Geographic/Karl Davies "There is a sense after awhile that you're playing the same animals to the same people, and the shows are starting to look the same and so is your audience," Linfield told Ars. "We thought, okay, how can we do something absolutely the opposite? We've gone through our careers collecting stories of these weird and crazy creatures that don't end up in the script because they're not big or sexy and they live under a rock. But they often have the best life histories and the craziest superpowers." Case in point: the velvet worm featured in the "Superheroes" episode, which creeps up on unsuspecting prey before squirting disgusting slime all over their food. (It's a handy defense mechanism, too, against predators like the wolf spider.) Once Linfield and Berlowitz decided to focus on nature's underdogs and to take a more humorous approach, Ryan Reynolds became their top choice for a narrator—the anti-Richard Attenborough. As luck would have it, the pair shared an agent with the mega-star. So even though they thought there was no way Reynolds would agree to the project, they put together a sizzle reel, complete with a "fake Canadian Ryan Reynolds sound-alike" doing the narration. Reynolds was on set when he received the reel, and loved it so much he recoded his own narration for the footage and sent it back. "From that moment he was in," said Linfield, and Wildstar Films worked closely with Reynolds and his company to develop the final series. "We've never worked that way on a series before, a joint collaboration from day one," Berlowitz admitted. But it worked: the end result strikes the perfect balance between scientific revelation and accurate natural history, and an edgy comic tone. That tone is quintessential Reynolds, and while he did mostly follow the script (which his team helped write), Linfield and Berlowitz admit there was also a fair amount of improvisation—not all of it PG-13.  "What we hadn't appreciated is that he's an incredible improv performer," said Berlowitz. "He can't help himself. He gets into character and starts riffing off [the footage]. There are some takes that we definitely couldn't use, that potentially would fit a slightly more Hulu audience."  Some of the ad-libs made it into the final episodes, however—like Reynolds describing an Aye-Aye as "if fear and panic had a baby and rolled it in dog hair"—even though it meant going back and doing a bit of recutting to get the new lines to fit. Cinematographer Tom Beldam films a long-tailed macaque who stole his smart phone minutes later. National Geographic/Laura Pennafort Cinematographer Tom Beldam films a long-tailed macaque who stole his smart phone minutes later. National Geographic/Laura Pennafort The macaque agrees to trade ithe stolen phone for a piece of food. National Geographic The macaque agrees to trade ithe stolen phone for a piece of food. National Geographic A family of tortoise beetles defend themselves from a carnivorous ant by wafting baby poop in its direction. National Geographic A family of tortoise beetles defend themselves from a carnivorous ant by wafting baby poop in its direction. National Geographic The macaque agrees to trade ithe stolen phone for a piece of food. National Geographic A family of tortoise beetles defend themselves from a carnivorous ant by wafting baby poop in its direction. National Geographic A male hippo sprays his feces at another male who is threatening to take over his patch. National Geographic A male proboscis monkey flaunts his large nose. The noses of these males are used to amplify their calls in the vast forest. National Geographic Dream girl: A blood-soaked female hyena looks across the African savanna. National Geographic A male bowerbird presents one of the finest items in his collection to a female in his bower. National Geographic The male nursery web spider presents his nuptial gift to the female. National Geographic Cue the Barry White mood music: Two leopard slugs suspend themselves on a rope of mucus as they entwine their bodies to mate with one another. National Geographic Despite their years of collective experience, Linfield and Berlowitz were initially skeptical when the crew told them about the pearl fish, which hides from predators in a sea cucumber's butt (along with many other species). "It had never been filmed so we said, 'You're going to have to prove it to us,'" said Berlowitz. "They came back with this fantastic, hilarious sequence of a pearl fish reverse parking [in a sea cucumber's anus)." The film crew experienced a few heart-pounding moments, most notably while filming the cliffside nests of barnacle geese for the "Terrible Parents" episode. A melting glacier caused a watery avalanche while the crew was filming the geese, and they had to quickly grab a few shots and run to safety. Less dramatic: cinematographer Tom Beldam had his smartphone stolen by a long-tailed macaque mere minutes after he finished capturing the animal on film. If all goes well and Underdogs finds its target audience, we may even get a follow-up. "We are slightly plowing new territory but the science is as true as it's ever been and the stories are good. That aspect of the natural history is still there," said Linfield. "I think what we really hope for is that people who don't normally watch natural history will watch it. If people have as much fun watching it as we had making it, then the metrics should be good enough for another season." Verdict: Underdogs is positively addictive; I binged all five episodes in a single day. (For his part, Reynolds said in a statement that he was thrilled to "finally watch a project of ours with my children. Technically they saw Deadpool and Wolverine but I don't think they absorbed much while covering their eyes and ears and screaming for two hours.") Underdogs premieres June 15, 2025, at 9 PM/8 PM Central on National Geographic (simulcast on ABC) and will be available for streaming on Disney+ and Hulu the following day.  You should watch it, if only to get that second season. Jennifer Ouellette Senior Writer Jennifer Ouellette Senior Writer Jennifer is a senior writer at Ars Technica with a particular focus on where science meets culture, covering everything from physics and related interdisciplinary topics to her favorite films and TV series. Jennifer lives in Baltimore with her spouse, physicist Sean M. Carroll, and their two cats, Ariel and Caliban. 5 Comments

Published June 15, 2025 10:00am EDT close IPhone users instructed to take immediate action to avoid data breach: 'Urgent threat' Kurt 'The CyberGuy' Knutsson discusses Elon Musk's possible priorities as he exits his role with the White House and explains the urgent warning for iPhone users to update devices after a 'massive security gap.' NEWYou can now listen to Fox News articles! In the past decade, healthcare data has become one of the most sought-after targets in cybercrime. From insurers to clinics, every player in the ecosystem handles some form of sensitive information. However, breaches do not always originate from hospitals or health apps. Increasingly, patient data is managed by third-party vendors offering digital services such as scheduling, billing and marketing. One such breach at a digital marketing agency serving dental practices recently exposed approximately 2.7 million patient profiles and more than 8.8 million appointment records.Sign up for my FREE CyberGuy ReportGet my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox. Plus, you’ll get instant access to my Ultimate Scam Survival Guide — free when you join. Illustration of a hacker at work   (Kurt "CyberGuy" Knutsson)Massive healthcare data leak exposes millions: What you need to knowCybernews researchers have discovered a misconfigured MongoDB database exposing 2.7 million patient profiles and 8.8 million appointment records. The database was publicly accessible online, unprotected by passwords or authentication protocols. Anyone with basic knowledge of database scanning tools could have accessed it.The exposed data included names, birthdates, addresses, emails, phone numbers, gender, chart IDs, language preferences and billing classifications. Appointment records also contained metadata such as timestamps and institutional identifiers.MASSIVE DATA BREACH EXPOSES 184 MILLION PASSWORDS AND LOGINSClues within the data structure point toward Gargle, a Utah-based company that builds websites and offers marketing tools for dental practices. While not a confirmed source, several internal references and system details suggest a strong connection. Gargle provides appointment scheduling, form submission and patient communication services. These functions require access to patient information, making the firm a likely link in the exposure.After the issue was reported, the database was secured. The duration of the exposure remains unknown, and there is no public evidence indicating whether the data was downloaded by malicious actors before being locked down.We reached out to Gargle for a comment but did not hear back before our deadline. A healthcare professional viewing heath data      (Kurt "CyberGuy" Knutsson)How healthcare data breaches lead to identity theft and insurance fraudThe exposed data presents a broad risk profile. On its own, a phone number or billing record might seem limited in scope. Combined, however, the dataset forms a complete profile that could be exploited for identity theft, insurance fraud and targeted phishing campaigns.Medical identity theft allows attackers to impersonate patients and access services under a false identity. Victims often remain unaware until significant damage is done, ranging from incorrect medical records to unpaid bills in their names. The leak also opens the door to insurance fraud, with actors using institutional references and chart data to submit false claims.This type of breach raises questions about compliance with the Health Insurance Portability and Accountability Act, which mandates strong security protections for entities handling patient data. Although Gargle is not a healthcare provider, its access to patient-facing infrastructure could place it under the scope of that regulation as a business associate. A healthcare professional working on a laptop   (Kurt "CyberGuy" Knutsson)5 ways you can stay safe from healthcare data breachesIf your information was part of the healthcare breach or any similar one, it’s worth taking a few steps to protect yourself.1. Consider identity theft protection services: Since the healthcare data breach exposed personal and financial information, it’s crucial to stay proactive against identity theft. Identity theft protection services offer continuous monitoring of your credit reports, Social Security number and even the dark web to detect if your information is being misused. These services send you real-time alerts about suspicious activity, such as new credit inquiries or attempts to open accounts in your name, helping you act quickly before serious damage occurs. Beyond monitoring, many identity theft protection companies provide dedicated recovery specialists who assist you in resolving fraud issues, disputing unauthorized charges and restoring your identity if it’s compromised. See my tips and best picks on how to protect yourself from identity theft.2. Use personal data removal services: The healthcare data breach leaks loads of information about you, and all this could end up in the public domain, which essentially gives anyone an opportunity to scam you.  One proactive step is to consider personal data removal services, which specialize in continuously monitoring and removing your information from various online databases and websites. While no service promises to remove all your data from the internet, having a removal service is great if you want to constantly monitor and automate the process of removing your information from hundreds of sites continuously over a longer period of time. Check out my top picks for data removal services here. GET FOX BUSINESS ON THE GO BY CLICKING HEREGet a free scan to find out if your personal information is already out on the web3. Have strong antivirus software: Hackers have people’s email addresses and full names, which makes it easy for them to send you a phishing link that installs malware and steals all your data. These messages are socially engineered to catch them, and catching them is nearly impossible if you’re not careful. However, you’re not without defenses.The best way to safeguard yourself from malicious links that install malware, potentially accessing your private information, is to have strong antivirus software installed on all your devices. This protection can also alert you to phishing emails and ransomware scams, keeping your personal information and digital assets safe. Get my picks for the best 2025 antivirus protection winners for your Windows, Mac, Android and iOS devices.4. Enable two-factor authentication: While passwords weren’t part of the data breach, you still need to enable two-factor authentication (2FA). It gives you an extra layer of security on all your important accounts, including email, banking and social media. 2FA requires you to provide a second piece of information, such as a code sent to your phone, in addition to your password when logging in. This makes it significantly harder for hackers to access your accounts, even if they have your password. Enabling 2FA can greatly reduce the risk of unauthorized access and protect your sensitive data.5. Be wary of mailbox communications: Bad actors may also try to scam you through snail mail. The data leak gives them access to your address. They may impersonate people or brands you know and use themes that require urgent attention, such as missed deliveries, account suspensions and security alerts. Kurt’s key takeawayIf nothing else, this latest leak shows just how poorly patient data is being handled today. More and more, non-medical vendors are getting access to sensitive information without facing the same rules or oversight as hospitals and clinics. These third-party services are now a regular part of how patients book appointments, pay bills or fill out forms. But when something goes wrong, the fallout is just as serious. Even though the database was taken offline, the bigger problem hasn't gone away. Your data is only as safe as the least careful company that gets access to it.CLICK HERE TO GET THE FOX NEWS APPDo you think healthcare companies are investing enough in their cybersecurity infrastructure? Let us know by writing us at Cyberguy.com/ContactFor more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/NewsletterAsk Kurt a question or let us know what stories you'd like us to coverFollow Kurt on his social channelsAnswers to the most asked CyberGuy questions:New from Kurt:Copyright 2025 CyberGuy.com.  All rights reserved.   Kurt "CyberGuy" Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on "FOX & Friends." Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Daniel Pearson , CEO, KnownHostJune 12, 20253 Min ReadBusiness success concept. Cubes with arrows and target on the top.Cyber incidents are expected to cost the US $639 billion in 2025. According to the latest estimates, this dynamic will continue to rise, reaching approximately 1.82 trillion US dollars in cybercrime costs by 2028. These figures highlight the crucial importance of strong cybersecurity strategies, which businesses must build to reduce the likelihood of risks. As technology evolves at a dramatic pace, businesses are increasingly dependent on utilizing digital infrastructure, exposing themselves to threats such as ransomware, accidental data loss, and corruption.  Despite the 3-2-1 backup rule being invented in 2009, this strategy has stayed relevant for businesses over the years, ensuring that the loss of data is minimized under threat, and will be a crucial method in the upcoming years to prevent major data loss.   What Is the 3-2-1 Backup Rule? The 3-2-1 backup rule is a popular backup strategy that ensures resilience against data loss. The setup consists of keeping your original data and two backups.  The data also needs to be stored in two different locations, such as the cloud or a local drive.  The one in the 3-2-1 backup rule represents storing a copy of your data off site, and this completes the setup.  This setup has been considered a gold standard in IT security, as it minimizes points of failure and increases the chance of successful data recovery in the event of a cyber-attack.  Related:Why Is This Rule Relevant in the Modern Cyber Threat Landscape? Statistics show that in 2024, 80% of companies have seen an increase in the frequency of cloud attacks.  Although many businesses assume that storing data in the cloud is enough, it is certainly not failsafe, and businesses are in bigger danger than ever due to the vast development of technology and AI capabilities attackers can manipulate and use.  As the cloud infrastructure has seen a similar speed of growth, cyber criminals are actively targeting these, leaving businesses with no clear recovery option. Therefore, more than ever, businesses need to invest in immutable backup solutions.  Common Backup Mistakes Businesses Make A common misstep is keeping all backups on the same physical network. If malware gets in, it can quickly spread and encrypt both the primary data and the backups, wiping out everything in one go. Another issue is the lack of offline or air-gapped backups. Many businesses rely entirely on cloud-based or on-premises storage that's always connected, which means their recovery options could be compromised during an attack. Related:Finally, one of the most overlooked yet crucial steps is testing backup restoration. A backup is only useful if it can actually be restored. Too often, companies skip regular testing. This can lead to a harsh reality check when they discover, too late, that their backup data is either corrupted or completely inaccessible after a breach. How to Implement the 3-2-1 Backup Rule? To successfully implement the 3-2-1 backup strategy as part of a robust cybersecurity framework, organizations should start by diversifying their storage methods. A resilient approach typically includes a mix of local storage, cloud-based solutions, and physical media such as external hard drives.  From there, it's essential to incorporate technologies that support write-once, read-many functionalities. This means backups cannot be modified or deleted, even by administrators, providing an extra layer of protection against threats. To further enhance resilience, organizations should make use of automation and AI-driven tools. These technologies can offer real-time monitoring, detect anomalies, and apply predictive analytics to maintain the integrity of backup data and flag any unusual activity or failures in the process. Lastly, it's crucial to ensure your backup strategy aligns with relevant regulatory requirements, such as GDPR in the UK or CCPA in the US. Compliance not only mitigates legal risk but also reinforces your commitment to data protection and operational continuity. Related:By blending the time-tested 3-2-1 rule with modern advances like immutable storage and intelligent monitoring, organizations can build a highly resilient backup architecture that strengthens their overall cybersecurity posture. About the AuthorDaniel Pearson CEO, KnownHostDaniel Pearson is the CEO of KnownHost, a managed web hosting service provider. Pearson also serves as a dedicated board member and supporter of the AlmaLinux OS Foundation, a non-profit organization focused on advancing the AlmaLinux OS -- an open-source operating system derived from RHEL. His passion for technology extends beyond his professional endeavors, as he actively promotes digital literacy and empowerment. Pearson's entrepreneurial drive and extensive industry knowledge have solidified his reputation as a respected figure in the tech community. See more from Daniel Pearson ReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like

Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerial (or satellite) image. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-View (BEV) but are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the vertical (height) dimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoF (x, y, and yaw) pose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. 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