This article contains spoilers for The Last of Us season 2 episode 1. The HBO series The Last of Us has done a great job thus far of making those infected by Cordyceps seem as terrifying as they do in the games (if not more so in some cases). We’ve seen characters chased by “runners,” the still somewhat-human earliest stage of infection. They’ve had to sneak by “clickers,” a late stage of the infection that renders the host blind and only able to detect people through echolocation and sound. And we’ve seen a couple of “big boys,” more commonly known as “bloaters,” a late stage of infection that creates a thick armor on the host and makes them incredibly strong and difficult to kill. But the show has finally found a way to introduce another kind of infected found in the games – “stalkers.” Found in The Last of Us Part I, Part II, and the Left Behind DLC, stalkers are the second stage of infection in the game after runners and before clickers. It takes anywhere from two weeks to a year for the Cordyceps infection to reach this stage. Physically, stalkers resemble a cross between runners and clickers. They still look vaguely human, but are starting to have Cordyceps growths on their head, often covering at least one of their eyes but not always.  They make an odd and chilling sound that’s not quite as refined as the clickers’ echolocation, but shows the development of this level of communication with the infected. But they also know how and when to be quiet to get the upper hand on their prey. As Ellie (Bella Ramsey) points out in the episode “Future Days,” these infected seem smarter than the other stages we’ve seen previously. “I’m not saying it can do math or anything, but it didn’t run at me. It did what we do – took cover, planned, waited, lured me in. Stalking,” Ellie tells the Jackson council. Like a lot of the other stages of infected, the stalkers’ name is pretty self-explanatory. Rather than automatically attacking their prey straight on when spotted, stalkers appear to be more strategic. They find places to hide and corner them, stalking them until they’re ready to attack. Stalkers can be aggressive and vicious like other infected when they finally decide to attack, as we see in the series, but they don’t seem to be as single-minded as the other stages of infected we’ve seen thus far. Even though Ellie is only facing off against one of these stalkers in a relatively open area, she ends up bitten. The stalker hid until Ellie had her back turned before attacking. Ellie has taken out a lot of infected before this, as Dina (Isabela Merced) points out during the meeting, but neither of them have seen anything like this before. The infected are terrifying enough as-is. Runners are relentless and will literally throw their bodies at anything to get to their prey. Clickers are ruthless and the sounds they make are chilling. Bloaters can literally tear a person in half. But a stage of infected that you won’t know is there until it’s too late? That’s a whole new level of terror. Humanity has now had decades to learn how to catch the infected by surprise, but apparently Cordyceps has spent the same amount of time doing some learning of its own. Above all, the Cordyceps fungus wants to survive. That’s its ultimate goal. And the stalkers seem to be a new way to achieve that. New episodes of The Last of Us season 2 premiere Sundays at 9 p.m. ET on HBO, culminating with the finale on May 25, 2025.

We’ve seen iPhone 17 Pro Max dummy units, and we’ve gawked at iPhone 17 Pro Max cases. Yet when you put the two together, you get a real sense of the shape of things to come. X account pipfix (@lusiRoy8) posted a photo today that shows off exactly that. At first glance, I thought I was looking at the existing blue iPhone 16 based on the color of the dummy unit. The story, of course, is the top third portion of the back of the iPhone 17 Pro Max dummy unit and case. That’s where the largest camera bump bar extends in every dimension. Apple is expected to use this camera bar design on the iPhone 17 Pro and iPhone 17 Pro Max. Hopefully, the improvement in photo quality matches the camera bump’s nearly doubled size! While the standard iPhone 17 will keep the same two-camera system as the iPhone 16, we expect the rumored iPhone 17 Air to replace the iPhone 16 Plus in the lineup. The Air is said to have the thinnest design of any iPhone yet. Despite having a single rear-facing camera, it will also use the camera bar design. Might the iPhone 17 Air feel a bit top heavy in the hand? We’ll find out in September. In the meantime, here’s what Pro Max customers can expect this fall: Best Apple accessories Follow Zac Hall: X | Threads | Instagram | Mastodon Add 9to5Mac to your Google News feed.  FTC: We use income earning auto affiliate links. More.You’re reading 9to5Mac — experts who break news about Apple and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Mac on Twitter, Facebook, and LinkedIn to stay in the loop. Don’t know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel

AI is changing cybersecurity faster than many defenders realize. Attackers are already using AI to automate reconnaissance, generate sophisticated phishing lures, and exploit vulnerabilities before security teams can react. Meanwhile, defenders are overwhelmed by massive amounts of data and alerts, struggling to process information quickly enough to identify real threats. AI offers a way to level the playing field, but only if security professionals learn to apply it effectively. Organizations are beginning to integrate AI into security workflows, from digital forensics to vulnerability assessments and endpoint detection. AI allows security teams to ingest and analyze more data than ever before, transforming traditional security tools into powerful intelligence engines. AI has already demonstrated its ability to accelerate investigations and uncover unknown attack paths, but many companies are hesitant to fully embrace it. Many AI models are implemented with such velocity that they remain untested with few organizations that have any basic security or auditing guidelines for their implementation. As a result, AI can increase risks instead of reducing them, particularly when it comes to privacy and data protection. There is a lack of proper security culture for AI implementation in organizations that have to remain competitive and reduce the costs of compute needed. On the other side, you have many organizations completely not implementing AI at all, even banning it among their employees, due to a lack of understanding of the risks as well. There has to be balance – decreasing risk, increasing competitiveness, reducing costs, and making fast decisions for an entire organization like a fighter pilot in the middle of a dogfight. One wrong decision in the above can become irreversibly devastating for the organization. One of the biggest challenges in cybersecurity today is the lack of professionals who are studying and learning how to apply AI effectively. Security teams need to study AI advancements daily/hourly because adversaries are adapting in hours/minutes. There is no time to wait for someone to write the book to solve these challenges, wait a single week, and the book is now aged – that is how fast the field is moving. The organizations that embrace AI will have a significant advantage over those that delay its adoption. To meet this need, SANS Institute is offering Applied Data Science & Machine Learning for Cybersecurity, a course designed to teach security professionals how to use AI and Machine Language core understanding to wrap around capabilities in their organization for defense strategies. This hands-on training covers how to utilize and build AI and machine learning models for threat detection, automate security processes, and improve threat intelligence analysis. Security teams do not need a background in data science (we teach it) to take this course, just a desire to learn and apply AI in their lives – daily. For those who want to gain these critical skills, SANSFIRE 2025 is the ideal opportunity. The event will take place June 16-21, 2025, in Washington, D.C., bringing together top cybersecurity professionals for hands-on training, live labs, and expert-led discussions. The SEC595: Applied Data Science & Machine Learning for Cybersecurity course will be available at SANSFIRE, allowing attendees to experience AI-driven security firsthand and apply what they learn immediately. Cybersecurity is evolving at an unprecedented pace, and defenders must evolve with it. The question is not whether AI will be a part of cybersecurity operations, but who will master it first. If you want to stay ahead of the curve, join us at SANSFIRE 2025. Learn more at SANS and register for SANSFIRE at SANSFIRE 2025.Note: This article is written and contributed by Rob T. Lee, Chief of Research at the SANS Institute. Found this article interesting? This article is a contributed piece from one of our valued partners. Follow us on Twitter  and LinkedIn to read more exclusive content we post.

Lisa Morgan, Freelance WriterApril 14, 20259 Min ReadBrain light via Alamy StockFICO Chief Analytics Officer Scott Zoldi has spent the last 25 years at HNC and FICO (which merged) leading analytics and AI at HNC FICO is well known in the consumer sector for credit scoring, while the FICO Platform helps businesses understand their customers better so they can provide hyper-personalized customer experiences.  “From a FICO perspective, it’s making sure that we continue to develop AI in a responsible way,” says Zoldi. “There’s a lot of [hype] about generative AI now and our focus has been around operationalizing it effectively so we can realize this concept of ‘the golden age of AI’ in terms of deploying technologies that actually work and solve business problems.” While today’s AI platforms make model governance and efficient deployment easier, and provide greater model development control, organizations still need to select an AI technique that best fits the use case. A lot of the model hallucinations and unethical behavior are based on the data on which the models are built, Zoldi says. “I see companies, including FICO, building their own data sets for specific domain problems that we want to address with generative AI. We’re also building our own foundational models, which is fully within the grasp of almost all organizations now,” he says.  Related:He says their biggest challenge is that you can never totally get rid of hallucinations. “What we need to do is basically have a risk-based approach for who’s allowed to use the outputs, when they’re allowed to use the outputs, and then maybe a secondary score, such as a AI risk score or AI trust score, that basically says this answer is consistent with the data on which it was built and the AI is likely not hallucinating.” Some reasons for building one’s own models include full control of how the model is built, and reducing the probability of bias and hallucinations based on the data quality.   “If you build a model and it produces an output, it could be hallucination or not. You won’t know unless you know the answer, and that’s really the problem. We produce AI trust scores at the same time as we produce the language models because they’re built on the same data,” says Zoldi. “[The trust score algorithms] understand what the large language models are supposed to do. They understand the knowledge anchors -- the knowledge base that the model has been trained on -- so when a user asks a question, it will look at the prompts, what the response was, and provide a trust score that indicates how well aligned the model’s response is aligned with the knowledge anchors on which the model was built. It’s basically a risk-based approach.” Related:FICO has spent considerable time focused on how to best incorporate small or focused language models as opposed to simply connecting to a generic GenAI model via an API. These “smaller” models may have eight to 10 billion parameters versus 20 billion or more than 100 billion, for example. He adds that you can take a small language model and achieve the same performance of a much larger model, because you can allow that small language model to spend more time reasoning out an answer. “And it’s powerful because it means that organizations that can only afford a smaller set of hardware can build a smaller model and deploy it in such a way that it’s less costly to use and just as performant as a large language model for a lot less cost, both in model development and in the inference costs of actually using it in a production sense.” Scott ZoldiThe company has also been using agentic AI. “Agentic AI is not new, but we now have frameworks that assign decision authority to independent AI operators. I’m okay with agentic AI, because you decompose problems into much simpler problems, and those simpler problems [require] much simpler models,” says Zoldi. “The next area is a combination of agentic AI and large language models, though building small language models and solving problems in a safe way is probably top of mind for most of our customers.” Related:For now, FICO’s primary use case for agentic AI is generating synthetic data to help counter and stay ahead of threat actors’ evolving methods. Meanwhile, FICO has been building focused language models that address financial fraud and scams, credit risks, originations, collections, behavior scoring and how to enable customer journeys. In fact, Zoldi recently created a focused model in only 31 days using a very small GPU. “I think we’ve all seen the headlines about how these humongous models with billions of parameters and thousands of GPUs, but you can go pretty far with a single GPU,” says Zoldi.  Challenges Zoldi Sees in 2025 One of the biggest challenges CIOs faces is anticipating the shifting nature of the US regulatory environment. However, Zoldi believes regulation and innovation go hand in hand. “I firmly believe that regulation and innovation inspire each other, but others are wondering how to develop their AI applications appropriately when [they’re not prescriptive],” says Zoldi. “If they don't tell you how to meet the regulation, then you're guessing how the regulations might change and how to meet them.”  Many organizations consider regulation a barrier to innovation rather than an inspiration for it.  “The innovation is basically a challenge statement like, ‘What does that innovation need to look like?’ so that I can meet my business objective, get a prediction, and have an interpretable model while also having ethical AI. That means better models,” says Zoldi. “Some people believe there shouldn’t be any constraints, but if you don’t have them, people will continue to ask for more data and ignore copyrights. You can also go down a deep learning path where models are uninterpretable, unexplainable, and often unethical.” What Innovation at FICO Looks Like At FICO, innovation and operationalization are synonymous. “We just built our first focused model last year. We’ve been demonstrating how small models on task specific domain problems perform just as well as large language models you can get commercially, and then we operationalize it,” says Zoldi. “That means I’m coming up with the most efficient way to embed AI in my software. We’re looking at unique software designs within our FICO Platform to enable the execution of these technologies efficiently.” Some time ago, Zoldi and his team wanted to add audit capabilities to the FICO Platform. To do it, they used AI blockchains. “An AI blockchain codifies how the model was developed, what needs to be monitored, and when you pull the model. Those are really important concepts to incorporate from an innovation perspective when we operationalize, so a big part of innovation is around operationalization. It’s around the sensible use of generative AI to solve very specific problems in the pockets of our business that would benefit most. We’re certainly playing with things like agentic AI and other concepts to see whether that would be the attractive direction for us in the future.” The audit capabilities FICO built can track every decision made on the platform, what decisions or configurations have changed, why they changed, when they changed and who changed them. “This is about software and the components, how strategies change, and how that model works. One of the main things is ensuring that there is auditing of all the steps that occur when an AI or machine learning model gets deployed in a platform, and how it’s being operated so you can understand things like who’s changing the model or strategy, who made that decision, whether it was tested prior to deployment and what the data is to support the solution. For us, that validation would belong in a blockchain so there is the immutable record of those configurations.” FICO uses AI blockchains when it develops and executes models, and to memorialize every decision made.  “Observability is a huge concept in AI platforms today. When we develop models, we have a blockchain that explains how we develop it so we can meet governance and regulatory requirements. On the same blockchain, are exactly what you need for real-time monitoring of AI models, and that wouldn't be possible if observability was not such a core concept in today's software,” says Zoldi. “Innovation in operationalization really comes from the fact that the software on which organizations build and deploy their decision solutions are changing as software and cloud computing advance, so the way we would have done it 25, 20, or 10 years ago is not the way that we do it most efficiently today. And that changes the way that we must operationalize. It changes the way we deploy and the way we even look at basic things like data.” Why Zoldi Has His Own Software Development Team Most software development organizations fall under a CIO or CTO, which is also true at FICO, though Zoldi also has his own software development team and works in partnership with FICO’s CTO.  “If a FICO innovation has to be operationalized, there must be a near term view to how it can be deployed. Our software development team makes sure that we come up with the right software architectures to deploy because we need the right throughput and latency,” says Zoldi. “Our CTO, Bill Waid, and I both focus a lot of our time on what are those new software designs so that we can make sure that all that value can be operationalized.” A specialized software team has been reporting to Zoldi for nearly 17 years, and one benefit is that it allows Zoldi to explore how he wants to operationalize, so he can make recommendations to the CTO and platform teams and ensure that new ideas can be operationalized responsibly. “If I want to take one of these focus language models and understand the most efficient way to deploy it and do inferencing, I'm not dependent on another team. It allows me to innovate rapidly, because everything that we develop in my team needs to be operationalized and be able to be deployed.  That way, I don't come with just an interesting algorithm and a business case. I come with an interesting algorithm, a business case and a piece of software so I can say these are the operating parameters of it. It allows me to make sure that I essentially have my own ability to prioritize where I need software talent focused from my types of problems for my AI solutions. And that's important because, I may be looking three years, four, or five years ahead, and need to know what we will need.” The other benefit is that the CTO and the larger software organization don’t have to be AI experts. “I think most high performing AI machine learning research teams like the one that I run, really need to have that software component so they have some control, and they're not in some sort of prioritization queue for getting some software attention,” says Zoldi. “Unless those people are specialized in AI, machine learning and MLOps, it’s going to be a poor experience. That’s why FICO is taking this approach and why we have the division of concerns.” About the AuthorLisa MorganFreelance WriterLisa Morgan is a freelance writer who covers business and IT strategy and emerging technology for InformationWeek. She has contributed articles, reports, and other types of content to many technology, business, and mainstream publications and sites including tech pubs, The Washington Post and The Economist Intelligence Unit. Frequent areas of coverage include AI, analytics, cloud, cybersecurity, mobility, software development, and emerging cultural issues affecting the C-suite.See more from Lisa MorganWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like

The TV reboot of the Harry Potter franchise is moving forward with HBO announcing the first batch of adult stars for upcoming series.That includes John Lithgor was the new Albus Dumbledore, Janet McTeer as Professor McGonagall, Paapa Essiedu as Professor Snape, and Nick Frost as the groundskeeper Hagrid.Two guests stars were announced as well: Luke Thallon, who will play Defense Against the Dark Arts teacher Quirinus Quirrell and Paul Whitehouse as Mr. Filch, the Hogwarts caretaker.HBOHBOloading...READ MORE: The 10 Worst TV Reboots Ever MadeThese roles were played in the Harry Potter movie franchise by Richard Harris (and later Michael Gambon, Maggie Smith, Alan Rickman, Robbie Coltrane, Ian Hart, and David Bradley, respectively. So far, there’ve been no casting announcements for the central characters, the children who will be playing Harry Potter himself and his various classmates.The show will restart the popular book-to-film franchise from the beginning; the stated plan is for each season of the show to adapt a single book from author J.K. Rowling’s franchise, starting with Harry Potter and the Sorcerer’s Stone.Here is the series’ official synopsis:The series will be a faithful adaptation of the beloved Harry Potter book series by author and executive producer J.K. Rowling and will feature an exciting and talented cast to lead a new generation of fandom, full of the fantastic detail and much-loved characters Harry Potter fans have adored for over 25 years. Exploring every corner of the wizarding world, each season will bring Harry Potter and its incredible adventures to new and existing audiences and will stream exclusively on Max where it’s available globally, including upcoming markets such as Turkey, the UK, Germany, and Italy, among others. The original, classic, and cherished films will remain at the core of the franchise and available to watch around the world.HBO and Max have yet to announce a premiere date for the series.Get our free mobile app25 Actors Who Turned Down Huge Movie RolesSome of the most famous actors in history turned down the chance to play cinema’s most iconic roles.

We’re not your typical corporate company.We’re a young, ambitious, fast-growing SaaS company on a mission to simplify life for 100,000+ construction contractors across North America. We move fast, we think big, and we’re building a team of hungry, motivated people who want to grow with us.Right now, we’re hiring a Sales Development Rep (SDR) to help us create new opportunities by cold calling highly targeted leads and booking product demos. If you're driven, confident, and want to be part of something meaningful — this might be for you.What You’ll Be Doing:Cold calling warm, pre-qualified leads (we provide the list)Booking demos for our sales teamUsing proven sales scripts and your own creative energyConsistently hitting outreach and meeting goalsPlaying a key role in growing a company that's solving real problems for real peopleWhat You’ll Need (Must-Haves):Fluent English (spoken and written)Ability to work during Eastern Time Zone business hoursA proper remote setup – quiet space for callsHigh-speed internetYour own computer and headsetSelf-motivation, reliability, and a team-first attitudeConfidence in cold calling and handling objectionsNice-to-Haves (but not required):Experience in software or SaaS salesExperience or knowledge of construction trades like plumbing, electrical, HVAC, etc.Understanding of the challenges small contractors faceWhat You’ll Get:Base salary + uncapped commissionPaid time off100% remote – work from anywhereA tight-knit, no-BS team that values resultsReal opportunity to grow with the companyThe chance to make a real impact helping small businessesIf you’re tired of boring sales jobs and want to build something exciting with a crew that’s all-in — apply now and tell us why you’d be a great fit.Let’s do something great together.

The manufacturing industry is at a crossroads: Geopolitical instability is fracturing supply chains from the Suez to Shenzhen, impacting the flow of materials. Businesses are battling rising costs and inflation, coupled with a shrinking labor force, with more than half a million unfilled manufacturing jobs in the U.S. alone. And climate change is further intensifying the pressure, with more frequent extreme weather events and tightening environmental regulations forcing companies to rethink how they operate. New solutions are imperative. DOWNLOAD THE FULL REPORT Meanwhile, advanced automation, powered by the convergence of emerging and established technologies, including industrial AI, digital twins, the internet of things (IoT), and advanced robotics, promises greater resilience, flexibility, sustainability, and efficiency for industry. Individual success stories have demonstrated the transformative power of these technologies, providing examples of AI-driven predictive maintenance reducing downtime by up to 50%. Digital twin simulations can significantly reduce time to market, and bring environment dividends, too: One survey found 77% of leaders expect digital twins to reduce carbon emissions by 15% on average. Yet, broad adoption of this advanced automation has lagged. “That’s not necessarily or just a technology gap,” says John Hart, professor of mechanical engineering and director of the Center for Advanced Production Technologies at MIT. “It relates to workforce capabilities and financial commitments and risk required.” For small and medium enterprises, and those with brownfield sites—older facilities with legacy systems— the barriers to implementation are significant. In recent years, governments have stepped in to accelerate industrial progress. Through a revival of industrial policies, governments are incentivizing high-tech manufacturing, re-localizing critical production processes, and reducing reliance on fragile global supply chains. All these developments converge in a key moment for manufacturing. The external pressures on the industry—met with technological progress and these new political incentives—may finally enable the shift toward advanced automation. Download the full report. This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. This content was researched, designed, and written entirely by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

British Steel plant in Scunthorpe “vital” for country’s national security, business department saysThe government should start mandating how much British-made steel is used in big infrastructure projects, according to the executive chairman of contractor Mace. Mark Reynolds told the BBC this morning the Cabinet Office and Treasury could intervene and set targets for how much homegrown steel is used on public jobs in the future. “They really need to specify the proportion of British steel it wants to procure in its projects. This is important for two reasons. It will help increase volume and it will allow us [the UK] to invest for that long term.” Over the weekend, Parliament was recalled to pass measures allowing the UK government powers to effectively direct operations at the home of British Steel in Scunthorpe. Source: Flickr/Number 10Prime Minister Keir Starmer speaks with workers and union representatives near the British Steel plant in Scunthorpe on Saturday The plant is still owned by Jingye, a Chinese company but blast furnaces at the site are at risk of being turned off if raw materials to fuel them are not delivered in time. The UK government argues keeping the site operating is crucial both for national and economic security. Announcing the decision to effectively nationalise British Streel, the Department for Business and Trade said on Saturday: “Steel is vital for both the UK’s national security and manufacturing and crucial for the government’s mission to build 1.5 million new homes in the UK as part of its Plan for Change, with construction projects requiring millions of tonnes of steel.” Reynolds said the Scunthorpe plant provided the “high quality steel” required by the rail and nuclear sectors. He added: “The UK must have the resilience in its UK steel market and the capability and capacity to deliver the volumes to meet the 10 year infrastructure plan which is vitally important for growing the economy.” Source: ShutterstockThe British Steel plant at Scunthorpe. Its Chinese owner said it is losing £700,000 a day Underlining the importance of British Steel to the rail industry, Network Rail has previously said that around 95% of its rails are from British Steel. Explaining why the government had stepped in, business secretary Jonathan Reynolds added: “We’re in a new and changing world where it’s never been more important to support our security and build our resilience, so that we can have strength abroad and renewal at home.”

The winning team selected for the estimated £120,000 contract will carry out a condition survey, feasibility study and design reports exploring options to renew and enhance the West Hill Lift which connects George Street in Hastings Old Town to Hastings Castle. The project aims to improve accessibility and preserve heritage of the 1891 funicular railway and the approaches to its upper and lower stations. The search for a design team comes five months after Poroban won a competition for a new visitor centre at Hastings Castle. According to the brief: ‘The Grade II-listed West Hill lift is a tourist and heritage attraction, and transportation link. It is a Victorian funicular railway that is tunnelled into the cliff face. It provides transportation from Hastings Old Town to the top of West Hill, where Ladies' Parlour and Hastings Castle are located.Advertisement ‘A key objective of this project is to produce a comprehensive assessment of the current condition and long-term maintenance requirements of the lift, tunnel, stations, carriages and surrounding area including the steps and approaches to the steps. This project will provide crucial insight into the condition of the asset and produce feasibility reports and designs which can be utilised to progress to the next phase, and aid in applying for funding to undertake the capital works.’ Hastings is a south coast resort town located around 85km from London. Local landmarks include HAT Projects’ Jerwood Gallery, the waterfront Stade open space by Tim Ronalds Architects and dRMM’s redevelopment of Hastings Pier, which won the 2017 Stirling Prize but changed owner within 12 months. The latest procurement comes shortly after IF_DO created a new community hub for Hastings. Holy Trinity Hastings launched a search for a design team for a £2.14 million overhaul one year ago. Bids for the latest commission will be evaluated 80 per cent on quality and 20 per cent on price. Applicants must hold employer’s liability insurance of £10 million, public liability insurance of £10 million and professional indemnity insurance of £2 million. Competition details Project title ESPH AB HBC West Hill Lift Feasibility Study (ESPH687 JB) Client Contract value Tbc First round deadline 2pm, 7 May 2025 Restrictions Tbc More information https://www.find-tender.service.gov.uk/Notice/014403-2025

Surveys show that Black, Hispanic and Native Americans are significantly less likely than their white counterparts to have a home internet connection and computer.