Associate Ad Product ProducerGameloftHo Chi Minh City Ho Chi Minh City vn17 minutes agoApplyJob DescriptionAssist in the production and delivery of rich media ads, ensuring projects are completed on time and within scope.Track project progress using tools (e.g., JIRA) and escalate issues to senior producers when necessary.Communicate with external partners to clarify briefs, provide feedback, and ensure timely, high-quality deliverables.Maintain clear documentation and regularly update internal tracking sheets for outsourced work.Review deliverables to ensure they meet creative standards and technical specifications.Collaborate with QA, developers, and cross-functional teams to resolve issues and maintain alignment throughout the project lifecycle.Qualifications1–2 years of experience in digital production, advertising, or game-related project management.Strong organizational skills with attention to detail and the ability to manage multiple projects and deadlines.Proficient in English (written and spoken) and skilled in Google Workspace as well as task tracking platforms (e.g., JIRA,Confluence)Effective communicator and team player, with a proactive mindset and strong problem-solving skills.Familiar with mobile ad platforms and basic technical knowledge of mobile ecosystems; data analysis experience is a plus.Quick to adapt and eager to learn new tools, technologies, and workflows.Additional InformationRecruitment Process:(1) Screening call ( Only candidates whose qualifications align with the role will be contacted. We sincerely appreciate your understanding)(2) Test(3) Interview(s)(4) OfferWork Location and Hours:Work location: 26 Ung Van Khiem, Binh Thanh District, Ho Chi Minh City.Work hours: 08:30 AM - 06:00 PM, Monday - Friday.Why Join Gameloft?You want to work in an exceptional industry and create games downloaded more than 1 billion times per year.You want to be part of a talented and supportive team of pioneers who have a passion for creating video games.You want to contribute to a vibrant and dynamic atmosphere.You want to join a global company and meet great people around the world.You will work on an employment contract with competitive remuneration and benefits package.You are looking for a fun place to work in the heart of the city.What We Offer:A hybrid working model.A dynamic workplace environment, with over 18 nationalities, where hundreds of world-renowned game titles were born.A range of well-being events and policies to support employees physically, mentally, and emotionally.An open-space office, a cafeteria, a terrace and a Gaming Area.Various training packages, including internal training, sponsorship training, and e-learning (iLearn, Udemy,...).Opportunities to collaborate and train with Gameloft worldwide experts and develop yourselves.An attractive monthly salary alongside Tet and other performance bonuses.Minimum 12 days of paid annual leave, plus 5 days of paid sick leave, Christmas leave, Birthday leave,...100% coverage of mandatory insurance and extra healthcare insurance.A monthly allowance to support lunch meals and working-from-home electricity and Internet bills.Other benefits from one of the best employers in Vietnam.What's more?Want to know more? Visit our websites:Company DescriptionJoin The Game!Leader in the development and publishing of multiplatform games, Gameloft® has established itself as a pioneer in the industry, creating innovative gaming experiences for 25 years. Gameloft creates games for all digital platforms, from mobile to cross-platform titles for PC and consoles. Gameloft operates its own established franchises such as Asphalt®, Dragon Mania Legends, March of Empires, and Dungeon Hunter, and also partners with major rights holders including LEGO®, Universal, Illumination, Hasbro®, Fox Digital Entertainment, Lamborghini®, and Ferrari®. Gameloft distributes its games in over 100 countries and employs 3,000 people worldwide. Every month, 1 billion unique users can be reached by advertisers in Gameloft games with Gameloft for brands, a leading B2B offering dedicated to brands and agencies. Gameloft is a Vivendi company. Create Your Profile — Game companies can contact you with their relevant job openings. Apply

Key Takeaways The European Commission will introduce the new International Digital Strategy that will focus on tech collaboration with the US and other countries. This is in contradiction to the growing pressure in Europe that calls for tech sovereignty and reducing tech dependence on the US. Low venture capital funding and a diverse regulatory landscape have been major challenges for tech innovation in Europe. Europe is seeing an increasing push to establish technological sovereignty and reduce the region’s reliance on US technology. However, there’s always been an undertone of acceptance that the EU is years behind the US when it comes to technological innovation and advancements. Now, the European Commission is planning to acknowledge this publicly. The EC will introduce a new International Digital Strategy, which will focus on collaboration with the United States and other tech-forward countries, such as Japan, South Korea, and India. The lawmakers believe that “decoupling” from the West is unrealistic and will instead push Europe further back in the technological race. Europe’s Call for Tech Sovereignty Several prominent political leaders and lawmakers have advocated for European sovereignty over technology and artificial intelligence.  For instance, Emmanuel Macron, the president of France, said in a speech in 2024 that Europe’s strategic autonomy is a conscious choice to end the region’s dependence on others. In an earlier speech, he also said that if Europe fails to build champions in areas such as digital and artificial intelligence, its choices will be dictated by others.  Similarly, Thierry Breton, the former EU Commissioner for Internal Markets, said that digital spending in the EU will breach the 20% target, underlining the importance of investing in European tech sovereignty. He focused on Europe’s declining market share in the semiconductor industry and called for the development of groundbreaking European tech. The Eurostack movement in the EU has also been gaining a lot of traction and support from various think tanks, academic researchers, and industry voices. Eurostack staff calls for the development of an indigenous infrastructure stack in the European region, including cloud, AI, semiconductors, digital services, and data centers. The main aim is to reduce Europe’s dependence on Chinese and US technology. This growing concern among EU well-wishers is quite understandable. Excessive reliance on the United States puts the US (meaning Donald Trump) in a controlling position, where he can arm-twist the European Union in matters of trade and even politics.  We have already seen an example of this during the tariff war, where Trump imposed a 25% tariff on automobiles (and their parts) and steel and aluminum products imported from the EU. Also, the fact that Google, Microsoft, and Amazon account for around 69% of the cloud market in the EU is quite concerning, too. Europe Wakes Up to Reality Despite positive speeches and statements by people in power in the EU, the fact remains that Europe is still lagging behind the United States. Bulgarian lawmaker Eva Maydell said that Europe should “sober up” and accept that the train has left the station. Dan Nechita, the current EU director for the Transatlantic Policy Network, said that it’s not the right time to be politically absolute and say that “we are going to do everything in Europe.” EU tech chief Virkkunen has been working hard to bring home the support of influential tech lobbies and emphasized the need to continue working with the United States. To put it in a nutshell, the European Commission is ready to accept the fact that the damage is done, and now Europe needs to play second fiddle and forge strategic partnerships with key technological leaders (primarily in the US) to stay alive in the race. Lack of Investments and the EU’s Regulation-First Approach One of the major reasons behind the European Union’s sluggish tech development is the lack of venture capital investments in the region. As per an IMF post, EU VC funds raised around $130B between 2013 and 2022. During the same time, the US raised $924B.  Similarly, annual VC investments in the EU are only 0.2% of the GDP when compared to 0.7% in the US. Currently, the United States accounts for a massive 52% of the global VC funds, whereas the EU holds just 5%.  Lack of investments has forced European startups to look elsewhere, especially the United States, for funding and support. One of the major reasons for such low venture capital interest in Europe is its diversity. Each of the 27 countries in the EU has its own regulatory and legal challenges, which make it difficult for multinational corporations to operate in the region.  Plus, the EU has adopted a regulation-first approach, which is very different from the United States. Of course, this approach has its own merits, but it has surely slowed down the speed of technological investments in the region.  For instance, the GDPR puts a truckload of regulatory and moral responsibility on companies to protect user data. Similarly, the AI Act focuses on the more ethical development of artificial intelligence that’s aligned with human values and refrains companies from exploiting public data. Sure, all of these are positive tech regulations important to protect the long-term sovereignty of the public at large. Even global tech advocates have praised the EU’s efforts for the development of safe and ethical technologies. However, we cannot ignore the fact that this has come at the cost of sluggish tech investments and overall growth. With its back against the wall, Europe needs to reassess its strengths and focus on areas such as open-source technologies, such as France’s La Suite numérique, and government-backed technological initiatives to have a say in the upcoming artificial intelligence and semiconductor race. Krishi is a seasoned tech journalist with over four years of experience writing about PC hardware, consumer technology, and artificial intelligence.  Clarity and accessibility are at the core of Krishi’s writing style. He believes technology writing should empower readers—not confuse them—and he’s committed to ensuring his content is always easy to understand without sacrificing accuracy or depth. Over the years, Krishi has contributed to some of the most reputable names in the industry, including Techopedia, TechRadar, and Tom’s Guide. A man of many talents, Krishi has also proven his mettle as a crypto writer, tackling complex topics with both ease and zeal. His work spans various formats—from in-depth explainers and news coverage to feature pieces and buying guides.  Behind the scenes, Krishi operates from a dual-monitor setup (including a 29-inch LG UltraWide) that’s always buzzing with news feeds, technical documentation, and research notes, as well as the occasional gaming sessions that keep him fresh.  Krishi thrives on staying current, always ready to dive into the latest announcements, industry shifts, and their far-reaching impacts.  When he's not deep into research on the latest PC hardware news, Krishi would love to chat with you about day trading and the financial markets—oh! And cricket, as well. View all articles by Krishi Chowdhary Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors.

AGI will be embedded into humanoid robots, which makes white-collar and blue-collar jobs a target ... More for walking/talking automation.getty In today’s column, I examine the highly worrisome qualms expressed that the advent of artificial general intelligence (AGI) is likely to usurp white-collar jobs. The stated concern is that since AGI will be on par with human intellect, any job that relies principally on intellectual pursuits such as typical white-collar work will be taken over via the use of AGI. Employers will realize that rather than dealing with human white-collar workers, they can more readily get the job done via AGI. This, in turn, has led to a rising call that people should aim toward blue-collar jobs, doing so because (presumably) those forms of employment will not be undercut via AGI. Sorry to say, that misses the bigger picture, namely that AGI when combined with humanoid robots is coming not only for white-collar jobs but also blue-collar jobs too. It is a proverbial double-whammy when it comes to the attainment of AGI. Let’s talk about it. This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here). Heading Toward AGI And ASI First, some fundamentals are required to set the stage for this weighty discussion. There is a great deal of research going on to further advance AI. The general goal is to either reach artificial general intelligence (AGI) or maybe even the outstretched possibility of achieving artificial superintelligence (ASI). AGI is AI that is considered on par with human intellect and can seemingly match our intelligence. ASI is AI that has gone beyond human intellect and would be superior in many if not all feasible ways. The idea is that ASI would be able to run circles around humans by outthinking us at every turn. For more details on the nature of conventional AI versus AGI and ASI, see my analysis at the link here. We have not yet attained AGI. In fact, it is unknown as to whether we will reach AGI, or that maybe AGI will be achievable in decades or perhaps centuries from now. The AGI attainment dates that are floating around are wildly varying and wildly unsubstantiated by any credible evidence or ironclad logic. ASI is even more beyond the pale when it comes to where we are currently with conventional AI. AGI Problem Only Half Seen Before launching into the primary matter at hand in this discussion, let’s contemplate a famous quote attributed to Charles Kettering, a legendary inventor, who said, “A problem well-stated is a problem half-solved.” I bring this up because those loud clamors right now about the assumption that AGI will replace white-collar workers are only seeing half of the problem. The problem as they see it is that since AGI is intellectually on par with humans, and since white-collar workers mainly use intellect in their work endeavors, AGI is going to be used in place of humans for white-collar work. I will in a moment explain why that’s only half of the problem and there is a demonstrative need to more carefully and fully articulate the nature of the problem. Will AGI Axiomatically Take White-Collar Jobs On a related facet, the belief that AGI will axiomatically replace white-collar labor makes a number of other related key assumptions. I shall briefly explore those and then come back to why the problem itself is only half-baked. The cost of using AGI for doing white-collar work will need to be presumably a better ROI choice over human workers. If not, then an employer would be wiser to stick with humans rather than employing AGI. There seems to often be an unstated belief that AGI is necessarily going to be a less costly route than employing humans. We don’t know yet what the cost of using AGI will be. It could be highly expensive. Indeed, some are worried that the world will divide into the AGI haves and AGI have-nots, partially due to the exorbitant cost that AGI might involve. If AGI is free to use, well, that would seem to be the nail in the coffin related to using human workers for the same capacity. Another angle is that AGI is relatively inexpensive in comparison to human labor. In that case, the use of AGI is likely to win over human labor usage. But if the cost of AGI is nearer to the cost of human labor (all in), or more so, then employers would rationally need to weigh the use of one versus the other. Note that when referring to the cost of human labor, there is more to that calculation than simply the dollar-hour labor rate per se. There are lots of other less apparent costs, such as the cost to manage human labor, the cost of dealing with HR-related issues, and many other factors that come into the weighty matter. Thus, an AGI versus human labor ROI will be more complex than it might seem at an initial glance. In addition, keep in mind that AGI would seemingly be readily switched on and off, and have other capacities that human labor would not equally tend to allow. The Other Half Is Coming Too Assume that by and large the advent of AGI will decimate the need for white-collar human labor. The refrain right now is that people should begin tilting toward blue-collar jobs as an alternative to white-collar jobs. This is a logical form of thinking in the sense that AGI as an intellectual mechanism would be unable to compete in jobs that involve hands-on work. A plumber needs to come to your house and do hands-on work to fix your plumbing. This is a physicality that entails arriving at your physical home, physically bringing and using tools, and physically repairing your faulty home plumbing. A truck driver likewise needs to sit in the cab of a truck and drive the vehicle. These are physically based tasks. There is no getting around the fact that these are hands-on activities. Aha, yes, those are physical tasks, but that doesn’t necessarily mean that only human hands can perform them. The gradual emergence of humanoid robots will provide an alternative to human hands. A humanoid robot is a type of robot that is built to resemble a human in form and function. You’ve undoubtedly seen those types of robots in the many online video recordings showing them walking, jumping, grasping at objects, and so on. A tremendous amount of active research and development is taking place to devise humanoid robots. They look comical right now. You watch those videos and laugh when the robot trips over a mere stick lying on the ground, something that a human would seldom trip over. You scoff when a robot tries to grasp a coffee cup and inadvertently spills most of the coffee. It all seems humorous and a silly pursuit. Keep in mind that we are all observing the development process while it is still taking place. At some point, those guffaws of the humanoid robots will lessen. Humanoid robots will be as smooth and graceful as humans. This will continue to be honed. Eventually, humanoid robots will be less prone to physical errors that humans make. In a sense, the physicality of a humanoid robot will be on par with humans, if not better, due to its mechanical properties. Do not discount the coming era of quite physically capable humanoid robots. AGI And Humanoid Robots Pair Up You might remember that in The Wonderful Wizard of Oz, the fictional character known as The Strawman lacked a brain. Without seeming to anthropomorphize humanoid robots, the current situation is that those robots typically use a form of AI that is below the sophistication level of modern generative AI. That’s fine for now due to the need to first ensure that the physical movements of the robots get refined. I have discussed that a said-to-be realm of Physical AI is going to be a huge breakthrough with incredible ramifications, see my analysis at the link here. The idea underlying Physical AI is that the AI of today is being uplifted by doing data training on the physical world. This also tends to include the use of World Models, consisting of broad constructions about how the physical world works, such as that we are bound to operate under conditions of gravity, and other physical laws of nature, see the link here. The bottom line here is that there will be a close pairing of robust AI with humanoid robots. Imagine what a humanoid robot can accomplish if it is paired with AGI. I’ll break the suspense and point out that AGI paired with humanoid robots means that those robots readily enter the blue-collar worker realm. Suppose your plumbing needs fixing. No worries, a humanoid robot that encompasses AGI will be sent to your home. The AGI is astute enough to carry on conversations with you, and the AGI also fully operates the robot to undertake the plumbing tasks. How did the AGI-paired humanoid robot get to your home? Easy-peasy, it drove a car or truck to get there. I’ve previously predicted that all the work on devising autonomous vehicles and self-driving cars will get shaken up once we have suitable humanoid robots devised. There won’t be a need for a vehicle to contain self-driving capabilities. A humanoid robot will simply sit in the driver’s seat and drive the vehicle. This is a much more open-ended solution than having to craft components that go into and onto a vehicle to enable self-driving. See my coverage at the link here. Timing Is Notable One of the reasons that many do not give much thought to the pairing of AGI with humanoid robots is that today’s humanoid robots seem extraordinarily rudimentary and incapable of performing physical dexterity tasks on par with human capabilities. Meanwhile, there is brazen talk that AGI is just around the corner. AGI is said to be within our grasp. Let’s give the timing considerations a bit of scrutiny. There are three primary timing angles: Option 1: AGI first, then humanoid robots. AGI is attained before humanoid robots are sufficiently devised. Option 2: Humanoid robots first, then AGI. Humanoid robots are physically fluently adept before AGI is attained. Option 3: AGI and humanoid robots arrive about at the same time. AGI is attained and at the same time, it turns out that humanoid robots are fluently adept too, mainly by coincidence and not due to any cross-mixing. A skeptic would insist that there is a fourth possibility, consisting of the possibility that we never achieve AGI and/or we fail to achieve sufficiently physically capable humanoid robots. I am going to reject that possibility. Perhaps I am overly optimistic, but it seems to me that we will eventually attain AGI, and we will eventually attain physically capable humanoid robots. I shall next respectively consider each of the three genuinely reasonable possibilities. Option 1: AGI First, Then Humanoid Robots What if we manage to attain AGI before we manage to achieve physically fluent humanoid robots? That’s just fine. We would indubitably put AGI to work as a partner with humans in figuring out how we can push along the budding humanoid robot development process. It seems nearly obvious that with AGI’s capable assistance, we would overcome any bottlenecks and soon enough arrive at top-notch physically adept humanoid robots. At that juncture, we would then toss AGI into the humanoid robots and have ourselves quite an amazing combination. Option 2: Humanoid Robots First, Then AGI Suppose that we devise very physically adept humanoid robots but have not yet arrived at AGI. Are we in a pickle? Nope. We could use conventional advanced AI inside those humanoid robots. The combination would certainly be good enough for a wide variety of tasks. The odds are that we would need to be cautious about where such robots are utilized. Nonetheless, we would have essentially walking, talking, and productive humanoid robots. If AGI never happens, oh well, we end up with pretty good humanoid robots. On the other hand, once we arrive at AGI, those humanoid robots will be stellar. It’s just a matter of time. Option 3: AGI And Humanoid Robots At The Same Time Let’s consider the potential of AGI and humanoid robots perchance being attained around the same time. Assume that this timing isn’t due to an outright cross-mixing with each other. They just so happen to advance on a similar timeline. I tend to believe that’s the most likely of the three scenarios. Here’s why. First, despite all the hubris about AGI being within earshot, perhaps in the next year or two, which is a popular pronouncement by many AI luminaries, I tend to side with recent surveys of AI developers that put the date around the year 2040 (see my coverage at the link here). Some AI luminaires sneakily play with the definition of AGI in hopes of making their predictions come true sooner, akin to moving the goalposts to easily score points. For my coverage on Sam Altman’s efforts of moving the cheese regarding AGI attainment, see the link here. Second, if you are willing to entertain the year 2040 as a potential date for achieving AGI, that’s about 15 years from now. In my estimation, the advancements being made in humanoid robots will readily progress such that by 2040 they will be very physically adept. Probably be sooner, but let’s go with the year 2040 for ease of contemplation. In my view, we will likely have humanoid robots doing well enough that they will be put into use prior to arriving at AGI. The pinnacle of robust humanoid robots and the attainment of AGI will roughly coincide with each other. Two peas in a pod.Impact Of Enormous Consequences In an upcoming column posting, I will examine the enormous consequences of having AGI paired with fully physically capable humanoid robots. As noted above, this will have a humongous impact on white-collar work and blue-collar work. There will be gargantuan economic impacts, societal impacts, cultural impacts, and so on. Some final thoughts for now. A single whammy is already being hotly debated. The debates currently tend to be preoccupied with the loss of white-collar jobs due to the attainment of AGI. A saving grace seems to be that at least blue-collar jobs are going to be around and thriving, even once AGI is attained. The world doesn’t seem overly gloomy if you can cling to the upbeat posture that blue-collar tasks remain intact. The double whammy is a lot more to take in. But the double whammy is the truth. The truth needs to be faced. If you are having doubts as a human about the future, just remember the famous words of Vince Lombardi: “Winners never quit, and quitters never win.” Humankind can handle the double whammy. Stay tuned for my upcoming coverage of what this entails.

A significant cyber breach at His Majesty’s Revenue and Customs (HMRC) that saw scammers cheat the public purse out of approximately £47m has been met with dismay from security experts thanks to the sheer simplicity of the attack, which originated via account takeover attempts on legitimate taxpayers. HMRC disclosed the breach to a Treasury Select Committee this week, revealing that hackers accessed the online accounts of about 100,000 people via phishing attacks and managed to claim a significant amount of money in tax rebates before being stopped. It is understood that those individuals affected have been contacted by HMRC – they have not personally lost any money and are not themselves in any trouble. Arrests in the case have already been made. During proceedings, HMRC also came in for criticism by the committee’s chair Meg Hillier, who had learned about the via an earlier news report on the matter, over the length of time taken to come clean over the incident. With phishing emails sent to unwitting taxpayers identified as the initial attack vector for the scammers, HMRC might feel relieved that it has dodged full blame for the incident. But according to Will Richmond-Coggan, a partner specialising in data and cyber disputes at law firm Freeths, even though the tax office had gone to pains to stress its own systems were never actually compromised, the incident underscored just how widespread the consequences of cyber attacks can be – snowballing from simple origins into a multimillion pound loss. “It is clear from HMRC's explanation that the crime against HMRC was only possible because of earlier data breaches and cyber attacks,” said Richmond-Coggan. “Those earlier attacks put personal data in the hands of the criminals which enabled them to impersonate tax payers and apply successfully to claim back tax.” Meanwhile, Gerasim Hovhannisyan, CEO of EasyDMARC, an email security provider, pointed out that phishing against both private individuals and businesses and other organisations had long ago moved beyond the domain of scammers chancing their luck. While this type of scattergun fraud remains a potent threat, particularly to consumers who may not be informed about cyber security matters – the scale of the HMRC phish surely suggests a targeted operation, likely using carefully crafted email purporting to represent HMRC itself, designed to lure self-assessment taxpayers into handing over their accounts. Not only that, but generative artificial intelligence (GenAI) means targeted phishing operations have become exponentially more dangerous in a very short space of time, added Hovhannisyan. “[It] has made [phishing] scalable, polished, and dangerously convincing, often indistinguishable from legitimate communication. And while many organisations have strengthened their security perimeters, email remains the most consistently exploited and underestimated attack vector,” he said. “These scams exploit human trust, using urgency, authority, and increasingly realistic impersonation tactics. If HMRC can be phished, anyone can.” Added Hovhannisyan: “What’s more alarming is that the Treasury Select Committee only learned of the breach through the news. When £47m is stolen through impersonation, institutions can’t afford to stay quiet. Delayed disclosure erodes trust, stalls response, and gives attackers room to manoeuvre.” Once again a service’s end-users have turned out to be the source of a cyber attack and as such, whether they are internal or – as in this case – external, are often considered an organisation’s first line of defence. However, it is not always wise to take this approach, and for an organisation like HMRC daily engaging with members of the public, it is also not really possible. Security education is a difficult proposition at the best of times and although the UK’s National Cyber Security Centre (NCSC) provides extensive advice and guidance on spotting and dealing with phishing emails for consumers – it also operates a phishing reporting service that as of April 2025 has received over 41 million scam reports – bodies like HMRC cannot rely on everybody having visited the NCSC’s website. As such, Mike Britton, chief information officer (CIO) at Abnormal AI, a specialist in phishing, social engineering and account takeover prevention, argued that HMRC could and should have done more from a technical perspective. “Governments will always be a high tier target for cyber criminals due to the valuable information they hold. In fact, attacks against this sector are rising,” he said. “In this case, it looks like criminals utilised account take over to conduct fraud. To combat this, multifactor authentication (MFA) is key, but as attacks grow more sophisticated, further steps must be taken.” Britton said organisations like HMRC really needed to consider adopting more layered security strategies, not only including MFA but also incorporating wider visibility and unified controls across its IT systems. Account takeover attacks such as the ones seen in this incident can unfold quickly, he added, so its cyber function should also be equipped with the tools to identify and remediate compromised accounts on the fly. Read more about trends in phishing Quishing, meaning QR code phishing, is an offputting term for an on-the-rise attack method. Learn how to defend against it. A healthy dose of judicious skepticism is crucial to preventing phishing attacks, said David Fine, supervisory special agent at the FBI, during a presentation at a HIMSS event. Exchange admins got a boost from Microsoft when it improved how it handles DMARC authentication failures to help organisations fight back from email-based attacks on their users.

Ahead of the TechEx North America event on June 4-5, we’ve been lucky enough to speak to Kieran Norton, Deloitte’s US Cyber AI & Automation leader, who will be one of the speakers at the conference on June 4th. Kieran’s 25+ years in the sector mean that as well as speaking authoritatively on all matters cybersecurity, his most recent roles include advising Deloitte clients on many issues around cybersecurity when using AI in business applications.The majority of organisations have in place at least the bare minimum of cybersecurity, and thankfully, in most cases, operate a decently comprehensive raft of cybersecurity measures that cover off communications, data storage, and perimeter defences.However, in the last couple of years, AI has changed the picture, both in terms of how companies can leverage the technology internally, and in how AI is used in cybersecurity – in advanced detection, and in the new ways the tech is used by bad actors.As a Considered a relatively new area, AI, smart automation, data governance and security all inhabit a niche at present. But given the growing presence of AI in the enterprise, those niches are set to become mainstream issues: problems, solutions, and advice that will need to be observed in every organisation, sooner rather than later.Governance and riskIntegrating AI into business processes isn’t solely about the technology and methods for its deployment. Internal processes will need to change to make best use of AI, and to better protect the business that’s using AI daily. Kieran draws a parallel to earlier changes made necessary by new technologies: “I would correlate [AI] with cloud adoption where it was a fairly significant shift. People understood the advantages of it and were moving in that direction, although sometimes it took them more time than others to get there.”Those changes mean casting the net wide, to encompass the update of governance frameworks, establishing secure architectures, even leveraging a new generation of specialists to ensure AI and the data associated with it are used safely and responsibly. Companies actively using AI have to detect and correct bias, test for hallucinations, impose guardrails, manage where, and by whom AI is used, and more. As Kieran puts it: “You probably weren’t doing a lot of testing for hallucination, bias, toxicity, data poisoning, model vulnerabilities, etc. That now has to be part of your process.”These are big subjects, and for the fuller picture, we advocate that readers attend the two talks at TechEx North America that Kieran’s to give. He’ll be exploring both sides of the AI coin – issues around AI deployment for the business, and the methods that companies can implement to deter and detect the new breed of AI-powered malware and attack vectors.The right use-casesKieran advocates that companies start with smaller, lower-risk AI implementations. While some of the first sightings of AI ‘in the wild’ have been chatbots, he was quick to differentiate between a chatbot that can intelligently answer questions from customers, and agents, which can take action by means of triggering interactions with the apps and services the business operates. “So there’s a delineation […] chatbots have been one of the primary starting places […] As we get into agents and agentic, that changes the picture. It also changes the complexity and risk profile.”Customer-facing agentic AI instances are indubitably higher risk, as a misstep can have  significant effects on a brand. “That’s a higher risk scenario. Particularly if the agent is executing financial transactions or making determinations based on healthcare coverage […] that’s not the first use case you want to try.”“If you plug 5, 6, 10, 50, a hundred agents together, you’re getting into a network of agency […] the interactions become quite complex and present different issues,” he said.In some ways, the issues around automation and system-to-system interfaces have been around for close on a decade. Data silos and RPA (robotic process automation) challenges are the hurdles enterprises have been trying to jump for several years. “You still have to know where your data is, know what data you have, have access to it […] The fundamentals are still true.”In the AI era, fundamental questions about infrastructure, data visibility, security, and sovereignty are arguably more relevant. Any discussions about AI tend to circle around the same issues, which throws into relief Kieran’s statements that a conversation about AI in the enterprise has to be wide-reaching and concern many of the operational and infrastructural underpinnings of the enterprise.Kieran therefore emphasises the importance of practicality, and a grounded assessment of need and ability as needing careful examination before AI can gain a foothold. “If you understand the use case […] you should have a pretty good idea of the ROI […] and therefore whether or not it’s worth the pain and suffering to go through building it.”At Deloitte, AI is being put to use where there is a clear use case with a measurable return: in the initial triage-ing of SOC tickets. Here the AI acts as a Level I incident analysis engine. “We know how many tickets get generated a day […] if we can take 60 to 80% of the time out of the triage process, then that has a significant impact.” Given the technology’s nascence, demarcating a specific area of operations where AI can be used acts as both prototype and proof of effectiveness. The AI is not customer-facing, and there are highly-qualified experts in their fields who can check and oversee the AI’s deliberations.ConclusionKieran’s message for business professionals investigating AI uses for their organisations was not to build an AI risk assessment and management programme from scratch. Instead, companies should evolve existing systems, have a clear understanding of each use-case, and avoid the trap of building for theoretical value.“You shouldn’t create another programme just for AI security on top of what you’re already doing […] you should be modernising your programme to address the nuances associated with AI workloads.” Success in AI starts with clear, realistic goals built on solid foundations.You can read more about TechEx North America here and sign up to attend. Visit the Deloitte team at booth #153 and drop in on its sessions on June 4: ‘Securing the AI Stack’ on the AI & Big Data stage from 9:20am-9:50am, and ‘Leveraging AI in Cybersecurity for business transformation’ on the Cybersecurity stage, 10:20am – 10:50am.Learn more about Deloitte’s solutions and service offerings for AI in business and cybersecurity or email the team at uscyberai@deloitte.com.(Image source: “Symposium Cisco Ecole Polytechnique 9-10 April 2018 Artificial Intelligence & Cybersecurity” by Ecole polytechnique / Paris / France is licensed under CC BY-SA 2.0.)

Home Meta and Yandex Spying on Android Users Through Localhost Ports: The Dying State of Online Privacy News Meta and Yandex Spying on Android Users Through Localhost Ports: The Dying State of Online Privacy 7 min read Published: June 4, 2025 Key Takeaways Meta and Yandex have been found guilty of secretly listening to localhost ports and using them to transfer sensitive data from Android devices. The corporations use Meta Pixel and Yandex Metrica scripts to transfer cookies from browsers to local apps. Using incognito mode or a VPN can’t fully protect users against it. A Meta spokesperson has called this a ‘miscommunication,’ which seems to be an attempt to underplay the situation. Wake up, Android folks! A new privacy scandal has hit your area of town. According to a new report led by Radboud University, Meta and Yandex have been listening to localhost ports to link your web browsing data with your identity and collect personal information without your consent. The companies use Meta Pixel and the Yandex Metrica scripts, which are embedded on 5.8 million and 3 million websites, respectively, to connect with their native apps on Android devices through localhost sockets. This creates a communication path between the cookies on your website and the local apps, establishing a channel for transferring personal information from your device. Also, you are mistaken if you think using your browser’s incognito mode or a VPN can protect you. Zuckerberg’s latest method of data harvesting can’t be overcome by tweaking any privacy or cookie settings or by using a VPN or incognito mode. How Does It Work? Here’s the method used by Meta to spy on Android devices: As many as 22% of the top 1 million websites contain Meta Pixel – a tracking code that helps website owners measure ad performance and track user behaviour. When Meta Pixel loads, it creates a special cookie called _fbp, which is supposed to be a first-party cookie. This means no other third party, including Meta apps themselves, should have access to this cookie. The _fbp cookie identifies your browser whenever you visit a website, meaning it can identify which person is accessing which websites. However, Meta, being Meta, went and found a loophole around this. Now, whenever you run Facebook or Instagram on your Android device, they can open up listening ports, specifically a TCP port (12387 or 12388) and a UDP port (the first unoccupied port in 12580-12585), on your phone in the background.  Whenever you load a website on your browser, the Meta Pixel uses WebRTC with SDP Munging, which essentially hides the _fbp cookie value inside the SDP message before being transmitted to your phone’s localhost.  Since Facebook and Instagram are already listening to this port, it receives the _fbp cookie value and can easily tie your identity to the website you’re visiting. Remember, Facebook and Instagram already have your identification details since you’re always logged in on these platforms. The report also says that Meta can link all _fbp received from various websites to your ID. Simply put, Meta knows which person is viewing what set of websites. Yandex also uses a similar method to harvest your personal data. Whenever you open a Yandex app, such as Yandex Maps, Yandex Browser, Yandex Search, or Navigator, it opens up ports like 29009, 30102, 29010, and 30103 on your phone.  When you visit a website that contains the Yandex Metrica Script, Yandex’s version of Meta Pixel, the script sends requests to Yandex servers containing obfuscated parameters.  These parameters are then sent to the local host via HTTP and HTTPS, which contains the IP address 127.0.0.1, or the yandexmetrica.com domain, which secretly points to 127.0.0.1. Now, the Yandex Metrica SDK in the Yandex apps receives these parameters and sends device identifiers, such as an Android Advertising ID, UUIDs, or device fingerprints. This entire message is encrypted to hide what it contains. The Yandex Metrica Script receives this info and sends it back to the Yandex servers. Just like Meta, Yandex can also tie your website activity to the device information shared by the SDK. Meta’s Infamous History with Privacy Norms This is not something new or unthinkable that Meta has done. The Mark Zuckerberg-led social media giant has a history of such privacy violations.  For instance, in 2024, the company was accused of collecting biometric data from Texas users without their express consent. The company settled the lawsuit by paying $1.4B.  Another of the most famous lawsuits was the Cambridge Analytica scandal in 2018, where a political consulting firm accessed private data of 87 million Facebook users without consent. The FTC fined Meta $5B for privacy violations along with a 100M settlement with the US Securities and Exchange Commission.  Meta Pixel has also come under scrutiny before, when it was accused of collecting sensitive health information from hospital websites. In another case dating back to 2012, Meta was accused of tracking users even after they logged out from their Facebook accounts. In this case, Meta paid $90M and promised to delete the collected data.  In 2024, South Korea also fined Meta $15M for inappropriately collecting personal data, such as sexual orientation and political beliefs, of 980K users. In September 2024, Meta was fined $101.6M by the Irish Data Protection Commission for inadvertently storing user passwords in plain text in such a way that employees could search for them. The passwords were not encrypted and were essentially leaked internally. So, the latest scandal isn’t entirely out of character for Meta. It has been finding ways to collect your data ever since its incorporation, and it seems like it will continue to do so, regardless of the regulations and safeguards in place. That said, Meta’s recent tracking method is insanely dangerous because there’s no safeguard around it. Even if you visit websites in incognito mode or use a VPN, Meta Pixel can still track your activities.  The past lawsuits also show a very identifiable pattern: Meta doesn’t fight a lawsuit until the end to try to win it. It either accepts the fine or settles the lawsuit with monetary compensation. This essentially goes to show that it passively accepts and even ‘owns’ the illegitimate tracking methods it has been using for decades. It’s quite possible that the top management views these fines and penalties as a cost of collecting data. Meta’s Timid Response Meta’s response claims that there’s some ‘miscommunication’ regarding Google policies. However, the method used in the aforementioned tracking scandal isn’t something that can simply happen due to ‘faulty design’ or miscommunication.  We are in discussions with Google to address a potential miscommunication regarding the application of their policies – Meta Spokesperson This kind of unethical tracking method has to be deliberately designed by engineers for it to work perfectly on such a large scale. While Meta is still trying to underplay the situation, it has paused the ‘feature’ (yep, that’s what they are calling it) as of now. The report also claims that as of June 3, Facebook and Instagram are not actively listening to the new ports. Here’s what will possibly happen next: A lawsuit may be filed based on the report. An investigating committee might be formed to question the matter. The company will come up with lame excuses, such as misinterpretation or miscommunication of policy guidelines. Meta will eventually settle the lawsuit or bear the fine with pride, like it has always done.  The regulatory authorities are apparently chasing a rat that finds new holes to hide every day. Companies like Meta and Yandex seem to be one step ahead of these regulations and have mastered the art of finding loopholes. More than legislative technicalities, it’s the moral ethics of the company that become clear with incidents like this. The intent of these regulations is to protect personal information, and the fact that Meta and Yandex blatantly circumvent these regulations in their spirit shows the absolutely horrific state of capitalism these corporations are in. Krishi is a seasoned tech journalist with over four years of experience writing about PC hardware, consumer technology, and artificial intelligence.  Clarity and accessibility are at the core of Krishi’s writing style. He believes technology writing should empower readers—not confuse them—and he’s committed to ensuring his content is always easy to understand without sacrificing accuracy or depth. Over the years, Krishi has contributed to some of the most reputable names in the industry, including Techopedia, TechRadar, and Tom’s Guide. A man of many talents, Krishi has also proven his mettle as a crypto writer, tackling complex topics with both ease and zeal. His work spans various formats—from in-depth explainers and news coverage to feature pieces and buying guides.  Behind the scenes, Krishi operates from a dual-monitor setup (including a 29-inch LG UltraWide) that’s always buzzing with news feeds, technical documentation, and research notes, as well as the occasional gaming sessions that keep him fresh.  Krishi thrives on staying current, always ready to dive into the latest announcements, industry shifts, and their far-reaching impacts.  When he's not deep into research on the latest PC hardware news, Krishi would love to chat with you about day trading and the financial markets—oh! And cricket, as well. View all articles by Krishi Chowdhary Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors. More from News View all View all

Payphones "were the only things that were built to last for decades and be out in the elements," says electrical engineer Patrick Schlott. He should know; as a hobby, he buys secondhand payphones, rewires them, then asks local businesses in rural Vermont if they'd let him install them. His goal is to offer, for free, public telephone service. (Schlott foots the bill himself.) "It's assumed most folks own cell phones," writes Schlott. "Well, not everyone does, sometimes they don't work out on dirt roads, sometimes you forget your charger, and sometimes you just really need to make a phone call. We aim to provide a valuable public service to the community while teaching people about the US telephone system that has over a century of history behind it." Schlott's company, RandTel, currently operates three phones in his neck of Vermont: One at the North Tunbridge General Store in Tunbridge, one at the Latham Library and a third—a rotary model from the 1950s--at the town of Randolph's information booth. He's particularly proud of that last one, as "This installation is 100% solar-powered, provided graciously by Catamount Solar," he writes. "Many thanks to the White River Valley Chamber of Commerce for hosting!" Here's a look at what Schlott does:

By CHRIS McGOWAN This image of Jupiter from NASA’s James Webb Space Telescope’s NIRCam (Near-Infrared Camera) shows stunning details of the majestic planet in infrared light. (Image courtesy of NASA, ESA and CSA) Special effects have been used for decades to depict space exploration, from visits to planets and moons to zero gravity and spaceships – one need only think of the landmark 2001: A Space Odyssey (1968). Since that era, visual effects have increasingly grown in realism and importance. VFX have been used for entertainment and for scientific purposes, outreach to the public and astronaut training in virtual reality. Compelling images and videos can bring data to life. NASA’s Scientific Visualization Studio (SVS) produces visualizations, animations and images to help scientists tell stories of their research and make science more approachable and engaging. A.J. Christensen is a senior visualization designer for the NASA Scientific Visualization Studio (SVS) at the Goddard Space Flight Center in Greenbelt, Maryland. There, he develops data visualization techniques and designs data-driven imagery for scientific analysis and public outreach using Hollywood visual effects tools, according to NASA. SVS visualizations feature datasets from Earth-and space-based instrumentation, scientific supercomputer models and physical statistical distributions that have been analyzed and processed by computational scientists. Christensen’s specialties include working with 3D volumetric data, using the procedural cinematic software Houdini and science topics in Heliophysics, Geophysics and Astrophysics. He previously worked at the National Center for Supercomputing Applications’ Advanced Visualization Lab where he worked on more than a dozen science documentary full-dome films as well as the IMAX films Hubble 3D and A Beautiful Planet – and he worked at DNEG on the movie Interstellar, which won the 2015 Best Visual Effects Academy Award. This global map of CO2 was created by NASA’s Scientific Visualization Studio using a model called GEOS, short for the Goddard Earth Observing System. GEOS is a high-resolution weather reanalysis model, powered by supercomputers, that is used to represent what was happening in the atmosphere. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) “The NASA Scientific Visualization Studio operates like a small VFX studio that creates animations of scientific data that has been collected or analyzed at NASA. We are one of several groups at NASA that create imagery for public consumption, but we are also a part of the scientific research process, helping scientists understand and share their data through pictures and video.” —A.J. Christensen, Senior Visualization Designer, NASA Scientific Visualization Studio (SVS) About his work at NASA SVS, Christensen comments, “The NASA Scientific Visualization Studio operates like a small VFX studio that creates animations of scientific data that has been collected or analyzed at NASA. We are one of several groups at NASA that create imagery for public consumption, but we are also a part of the scientific research process, helping scientists understand and share their data through pictures and video. This past year we were part of NASA’s total eclipse outreach efforts, we participated in all the major earth science and astronomy conferences, we launched a public exhibition at the Smithsonian Museum of Natural History called the Earth Information Center, and we posted hundreds of new visualizations to our publicly accessible website: svs.gsfc.nasa.gov.” This is the ‘beauty shot version’ of Perpetual Ocean 2: Western Boundary Currents. The visualization starts with a rotating globe showing ocean currents. The colors used to color the flow in this version were chosen to provide a pleasing look. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) The Gulf Stream and connected currents. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Venus, our nearby “sister” planet, beckons today as a compelling target for exploration that may connect the objects in our own solar system to those discovered around nearby stars. (Image courtesy of NASA’s Goddard Space Flight Center) WORKING WITH DATA While Christensen is interpreting the data from active spacecraft and making it usable in different forms, such as for science and outreach, he notes, “It’s not just spacecraft that collect data. NASA maintains or monitors instruments on Earth too – on land, in the oceans and in the air. And to be precise, there are robots wandering around Mars that are collecting data, too.” He continues, “Sometimes the data comes to our team as raw telescope imagery, sometimes we get it as a data product that a scientist has already analyzed and extracted meaning from, and sometimes various sensor data is used to drive computational models and we work with the models’ resulting output.” Jupiter’s moon Europa may have life in a vast ocean beneath its icy surface. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) HOUDINI AND OTHER TOOLS “Data visualization means a lot of different things to different people, but many people on our team interpret it as a form of filmmaking,” Christensen says. “We are very inspired by the approach to visual storytelling that Hollywood uses, and we use tools that are standard for Hollywood VFX. Many professionals in our area – the visualization of 3D scientific data – were previously using other animation tools but have discovered that Houdini is the most capable of understanding and manipulating unusual data, so there has been major movement toward Houdini over the past decade.” Satellite imagery from NASA’s Solar Dynamics Observatory (SDO) shows the Sun in ultraviolet light colorized in light brown. Seen in ultraviolet light, the dark patches on the Sun are known as coronal holes and are regions where fast solar wind gushes out into space. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Christensen explains, “We have always worked with scientific software as well – sometimes there’s only one software tool in existence to interpret a particular kind of scientific data. More often than not, scientific software does not have a GUI, so we’ve had to become proficient at learning new coding environments very quickly. IDL and Python are the generic data manipulation environments we use when something is too complicated or oversized for Houdini, but there are lots of alternatives out there. Typically, we use these tools to get the data into a format that Houdini can interpret, and then we use Houdini to do our shading, lighting and camera design, and seamlessly blend different datasets together.” While cruising around Saturn in early October 2004, Cassini captured a series of images that have been composed into this large global natural color view of Saturn and its rings. This grand mosaic consists of 126 images acquired in a tile-like fashion, covering one end of Saturn’s rings to the other and the entire planet in between. (Image courtesy of ASA/JPL/Space Science Institute) The black hole Gargantua and the surrounding accretion disc from the 2014 movie Interstellar. (Image courtesy of DNEG and Paramount Pictures) Another visualization of the black hole Gargantua. (Image courtesy of DNEG and Paramount Pictures) INTERSTELLAR & GARGANTUA Christensen recalls working for DNEG on Interstellar (2014). “When I first started at DNEG, they asked me to work on the giant waves on Miller’s ocean planet [in the film]. About a week in, my manager took me into the hall and said, ‘I was looking at your reel and saw all this astronomy stuff. We’re working on another sequence with an accretion disk around a black hole that I’m wondering if we should put you on.’ And I said, ‘Oh yeah, I’ve done lots of accretion disks.’ So, for the rest of my time on the show, I was working on the black hole team.” He adds, “There are a lot of people in my community that would be hesitant to label any big-budget movie sequence as a scientific visualization. The typical assumption is that for a Hollywood movie, no one cares about accuracy as long as it looks good. Guardians of the Galaxy makes it seem like space is positively littered with nebulae, and Star Wars makes it seem like asteroids travel in herds. But the black hole Gargantua in Interstellar is a good case for being called a visualization. The imagery you see in the movie is the direct result of a collaboration with an expert scientist, Dr. Kip Thorne, working with the DNEG research team using the actual Einstein equations that describe the gravity around a black hole.” Thorne is a Nobel Prize-winning theoretical physicist who taught at Caltech for many years. He has reached wide audiences with his books and presentations on black holes, time travel and wormholes on PBS and BBC shows. Christensen comments, “You can make the argument that some of the complexity around what a black hole actually looks like was discarded for the film, and they admit as much in the research paper that was published after the movie came out. But our team at NASA does that same thing. There is no such thing as an objectively ‘true’ scientific image – you always have to make aesthetic decisions around whether the image tells the science story, and often it makes more sense to omit information to clarify what’s important. Ultimately, Gargantua taught a whole lot of people something new about science, and that’s what a good scientific visualization aims to do.” The SVS produces an annual visualization of the Moon’s phase and libration comprising 8,760 hourly renderings of its precise size, orientation and illumination. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) FURTHER CHALLENGES The sheer size of the data often encountered by Christensen and his peers is a challenge. “I’m currently working with a dataset that is 400GB per timestep. It’s so big that I don’t even want to move it from one file server to another. So, then I have to make decisions about which data attributes to keep and which to discard, whether there’s a region of the data that I can cull or downsample, and I have to experiment with data compression schemes that might require me to entirely re-design the pipeline I’m using for Houdini. Of course, if I get rid of too much information, it becomes very resource-intensive to recompute everything, but if I don’t get rid of enough, then my design process becomes agonizingly slow.” SVS also works closely with its NASA partner groups Conceptual Image Lab (CIL) and Goddard Media Studios (GMS) to publish a diverse array of content. Conceptual Image Lab focuses more on the artistic side of things – producing high-fidelity renders using film animation and visual design techniques, according to NASA. Where the SVS primarily focuses on making data-based visualizations, CIL puts more emphasis on conceptual visualizations – producing animations featuring NASA spacecraft, planetary observations and simulations, according to NASA. Goddard Media Studios, on the other hand, is more focused towards public outreach – producing interviews, TV programs and documentaries. GMS continues to be the main producers behind NASA TV, and as such, much of their content is aimed towards the general public. An impact crater on the moon. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Image of Mars showing a partly shadowed Olympus Mons toward the upper left of the image. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Mars. Hellas Basin can be seen in the lower right portion of the image. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Mars slightly tilted to show the Martian North Pole. (Image courtesy of NASA/Goddard Space Flight Center Scientific Visualization Studio) Christensen notes, “One of the more unique challenges in this field is one of bringing people from very different backgrounds to agree on a common outcome. I work on teams with scientists, communicators and technologists, and we all have different communities we’re trying to satisfy. For instance, communicators are generally trying to simplify animations so their learning goal is clear, but scientists will insist that we add text and annotations on top of the video to eliminate ambiguity and avoid misinterpretations. Often, the technologist will have to say we can’t zoom in or look at the data in a certain way because it will show the data boundaries or data resolution limits. Every shot is a negotiation, but in trying to compromise, we often push the boundaries of what has been done before, which is exciting.”

Key Takeaways Dell and Nvidia will together provide architecture for the next set of supercomputers, named Doudna, for the US Department of Energy. Dell will focus more on sustainable hardware and cooling systems, while Nvidia will provide its AI architecture, including the Vera Rubin AI chips. The US Department of Energy wants to focus more on the sustainable development of AI, hence the choice of environment-conscious companies. The US Department of Energy said that Dell’s next batch of supercomputers will be delivered with Nvidia’s ‘Vera Rubin’ AI chips, marking the beginning of a new era of AI dominance in research. The said systems are expected to be 10x faster than the current batch of supercomputers, which HP provided. The supercomputer will be named ‘Doudna,’ after Jennifer Doudna, a Nobel Prize winner who made key contributions in CRISPR gene-editing. Supercomputers have been instrumental in key scientific discoveries in the last few decades and also played a big role in the design and maintenance of the U.S. nuclear weapons arsenal. And now, with the introduction of artificial intelligence, we’re heading towards a new decade of faster and more efficient scientific research. It (supercomputers) is the foundation of scientific discovery for our country. It is also a foundation for economic and technological leadership. And with that, national security – Nvidia CEO, Jensen Huang Dell Going All in on AI This isn’t the first time Dell and Nvidia have come together to develop newer AI solutions. Back in March 2024, Dell announced the Dell AI Factory with NVIDIA, an end-to-end enterprise AI solution designed for businesses.  This joint venture used Dell’s infrastructure, such as servers, storage, and networking, combined with NVIDIA’s AI architecture and technologies such as GPUs, DPUs, and AI software. Image Credit – Dell For instance, the Dell PowerEdge server uses NVIDIA’s full AI stack to provide enterprises with solutions required for a wide range of AI applications, including speech recognition, cybersecurity, recommendation systems, and language-based services. The demand for Dell’s AI servers has also increased, reaching $12.1B in the first quarter of 2025, with a total backlog of $14.4B, which suggests a strong future demand and order book. The company has set a bold profit forecast between $28.5B and $29.5B, as against the analysts’ prediction of $ 25.05 B. With Doudna, Dell is well-positioned to lead the next generation of supercomputers in AI research, invention, and discoveries. Focus on Energy Efficiency Seagate has warned about the unprecedented increase in demand for AI data storage in the coming few years, which is a significant challenge to the sustainability of AI data centers. Global data volume is expected to increase threefold by 2028.  Image Credit – DIGITIMES Asian The data storage industry currently produces only 1-2 zettabytes (1 zettabyte equals 1 trillion gigabytes) of storage annually, which is much lower than what would be required in the next 4-5 years. At the same time, Goldman Sachs predicts that power requirements will also go up by 165% by 2030 due to increasing demand for AI data centers. This calls for a more sustainable approach for the supercomputing industry as well.  Dell will use its proprietary technologies, such as Direct Liquid Cooling, the PowerCool eRDHx, and Smart Flow design in the Doudna, ensuring energy efficiency. Direct Liquid Cooling (DLC) increased computing density by supporting more cores per rack, which reduces cooling costs by as much as 45%. Dell’s PowerCool eRDHx is a self-contained airflow design that can capture 100% of the heat generated by IT systems. This reduces the dependency on expensive chillers, as eRDHx can work in usual temperatures of 32 and 36 degrees Celsius, leading to 60% savings in cooling energy costs. Lastly, the Dell Smart Flow design improves airflow within IT components and reduces the fan power by 52%. This leads to better performance with fewer cooling requirements. Besides this, Dell plans to incorporate Leak Sense Technology. If a coolant leak occurs, the system’s leak sensor will log an alert in the iDRAC system so that swift action can be taken. As per a report titled ‘Energy and AI’ by the IEA, the data center electricity demand will increase to 945 terawatt-hours (TWh) by 2030. For comparison, this is more than the total electricity consumption of Japan today. The US alone will consume more electricity in 2030 for processing data than for manufacturing all energy-intensive goods combined, including aluminum, steel, cement, and chemicals. Therefore, the need to develop sustainable AI data centers and supercomputers cannot be highlighted enough. Dell’s technology-focused, sustainable approach can be a pivotal point in how efficiently we use AI in the next decade. The US Department of Energy’s choice of Dell also seems to be a conscious move to shift towards companies that give importance to sustainability and can vouch for the long-term viability of research-intensive AI setups. Krishi is a seasoned tech journalist with over four years of experience writing about PC hardware, consumer technology, and artificial intelligence.  Clarity and accessibility are at the core of Krishi’s writing style. He believes technology writing should empower readers—not confuse them—and he’s committed to ensuring his content is always easy to understand without sacrificing accuracy or depth. Over the years, Krishi has contributed to some of the most reputable names in the industry, including Techopedia, TechRadar, and Tom’s Guide. A man of many talents, Krishi has also proven his mettle as a crypto writer, tackling complex topics with both ease and zeal. His work spans various formats—from in-depth explainers and news coverage to feature pieces and buying guides.  Behind the scenes, Krishi operates from a dual-monitor setup (including a 29-inch LG UltraWide) that’s always buzzing with news feeds, technical documentation, and research notes, as well as the occasional gaming sessions that keep him fresh.  Krishi thrives on staying current, always ready to dive into the latest announcements, industry shifts, and their far-reaching impacts.  When he's not deep into research on the latest PC hardware news, Krishi would love to chat with you about day trading and the financial markets—oh! And cricket, as well. View all articles by Krishi Chowdhary Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors.