Latest UK & Global AI News

A narrative review examines how generative AI tools such as large language models and vision-language models could assist precision oncology by interpreting genomic data, matching patients to clinical trials, and synthesizing complex clinical information. The authors emphasize governance, human oversight, and retrieval-based safeguards to ensure these systems are deployed safely in cancer care.

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Your Attention Please, a documentary premiering this week at SXSW in Austin, Texas, explores how we live in the attention economy.

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The global business landscape is currently undergoing a structural shift so profound it has been dubbed the AI Apocalypse. For decades, the global economy has been optimized for a world where human intelligence was the primary scarce resource. We are now witnessing the “unwind” of that premium. As machine intelligence becomes a competent and rapidly [...] The post The intelligence unwind: Navigating the AI apocalypse and the consulting crossroad appeared first on e27 .

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Guy Duncan from Tide and Parvinder Bhatia from bunq bring deep expertise to accelerate Thunes' AI-driven innovation and global financial scaling. SINGAPORE, March 12, 2026 /PRNewswire/ -- Thunes, the Smart Superhighway to move money around the world, today announces two strategic...

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HONG KONG SAR – Media OutReach Newswire – 12 March 2026 – Ingdan, Inc. (“Ingdan” or the “Company”,... The post Ingdan Powers Embodied AI with Humanoid-Style Brain-Cerebellum Chipset to Boost Robotics Ecosystem appeared first on NaijNaira .

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Guy Duncan from Tide and Parvinder Bhatia from bunq bring deep expertise to accelerate Thunes' AI-driven innovation and global financial scaling. SINGAPORE , March 12, 2026 /PRNewswire/ -- Thunes , the Smart Superhighway to move money around the world, today announces two strategic appointments to its executive leadership team: Guy Duncan joins as Chief Technology and Product Officer (CTPO), and Parvinder Bhatia joins as Chief Financial Officer (CFO). Guy Duncan These high-profile appointments signal a new chapter of growth for Thunes as it continues to scale its proprietary Direct Global Network and sharpen its technological edge through innovation and robust financial strategy. Guy Duncan brings world-class experience in digital transformation and rapid scaling to Thunes. Previously serving as CTO at fintech unicorn Tide and OVO Energy, he specialises in turning technical complexity into a competitive advantage. Guy's extensive global experience includes spearheading BMW's digital transformation across 64 markets and successfully scaling Tide's platform from 50,000 to over 1 million members. In his role as CTPO, Guy will lead Thunes' technology and product functions, focusing on building high-velocity teams and deploying AI across its Direct Global Network to solve real-world friction in global money movement for Thunes' Members. Parvinder Bhatia joins from bunq, Europe's first AI-powered bank, where he served as CFO and played a key role in strengthening the bank's financial strategy, supporting its rapid international expansion. With over 24 years of experience across fintech, private equity and venture-backed businesses, Parvinder brings a strong track record of scaling finance organisations, driving operational transformation and supporting high-growth companies through periods of significant expansion. At Thunes, he will lead the company's global finance organisation and partner with the leadership team as the company continues to scale its global payments infrastructure. Peter De Caluwe , Co-Founder and CEO of Thunes, said: "As we accelerate Thunes' growth, I am delighted to welcome Guy and Parvinder to our leadership team. Both bring an incredible wealth of experience in scaling global platforms. Guy's expertise in AI and high-scale engineering will be pivotal in honing our competitive edge, while Parvinder's storied track record in financial transformation and international expansion makes him the ideal partner to underpin our commercial strategy. Together, they bring the ambition and expertise required to further solidify Thunes' position as the world's leading global payments infrastructure network." Guy Duncan , CTPO of Thunes, commented: "Thunes is at a fascinating juncture where technology and innovation acts as the ultimate strategic enabler. I am thrilled to join a team that shares my 'Think Big' philosophy and entrepreneurial mindset. My focus will be on ensuring our solutions solve customer friction both for now and for the future, through innovative, production-ready AI and scalable architecture." Parvinder Bhatia , CFO of Thunes, added: "Thunes has built a remarkable foundation for global cross-border payments and I am joining at a time of significant momentum. I look forward to working with the Board and the executive team to navigate our next phase of international growth, ensuring our financial strategy remains as innovative and robust as our technology." About Thunes: Thunes is the Smart Superhighway to move money around the world. Thunes' proprietary Direct Global Network allows Members to make payments in real-time in over 140 countries and more than 90 currencies. Thunes' Network connects directly to over 12 billion mobile wallets, stablecoin wallets and bank accounts worldwide, as well as 15 billion cards via more than 220 different payment methods. For more information, visit: https://www.thunes.com/ Parvinder Bhatia

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Microsoft Corp is launching a new bundle of workplace software with the aim of getting more people to use its artificial intelligence tools for the office. Read full story

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The company was valued at $1.73 billion at Wednesday's close. The post This All Ords technology stock could shoot the lights out: broker appeared first on The Motley Fool Australia .

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New York, United States, March 12, 2026 /MarketersMEDIA/ -- Supawriter announced the publication of a guide presenting a curated list of AI content writing platforms used for SEO-focused content creation and digital marketing workflows. The publication documents the role of artificial intelligence in content generation and outlines several tools and practices associated with automated writing systems and search engine optimization. The guide compiles information related to AI-powered writing technologies used by marketers, bloggers, and website operators involved in digital publishing. The publication describes how AI tools are integrated into processes that include keyword research, long-form article generation, formatting, scheduling, and content publishing. Documentation in the guide reflects ongoing developments in automated writing technologies and their use in structured content production environments. The publication also includes discussion related to automated SEO practices and the use of artificial intelligence in managing large volumes of digital content. The guide outlines workflow stages connected to research, drafting, editing, and publication using AI-supported writing systems. References to auto blog SEO appear throughout the publication in connection with automated content production and optimization processes designed for search engine visibility. Supawriter documented a range of content creation activities associated with AI writing platforms. These activities include generation of articles, blog posts, website copy, product descriptions, and other forms of digital text used in online publishing. The guide also describes integration of AI writing tools with content management systems used for formatting, categorization, and scheduling of digital content. Additional sections of the publication outline technical aspects connected to search intent analysis, keyword structure, metadata formatting, and automated publishing workflows. The guide presents descriptions of features commonly associated with AI writing systems, including text generation, grammar review, summarization, and editing assistance used in digital content production. The release of the guide forms part of documentation related to developments in automated writing technologies and digital marketing infrastructure. Supawriter prepared the publication as a reference resource describing the role of AI tools in content creation environments and SEO-related publishing workflows. About Supawriter Supawriter is a technology platform focused on AI-assisted content writing and digital publishing workflows. The platform includes tools designed to support research, content generation, formatting, scheduling, and publishing for websites and blogs. Supawriter also develops resources and documentation related to AI writing systems, search engine optimization practices, and automated content management processes, including applications connected to auto blog SEO. Contact Info: Name: Media Relation Email: Send Email Organization: Supawriter Website: https://www.supawriter.ai/ Release ID: 89185726 If there are any errors, inconsistencies, or queries arising from the content contained within this press release that require attention or if you need assistance with a press release takedown, we kindly request that you inform us immediately by contacting error@releasecontact.com (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our reliable team will be available to promptly respond within 8 hours, taking proactive measures to rectify any identified issues or providing guidance on the removal process. Ensuring accurate and dependable information is our top priority.

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�My thinking wasn�t broken, just noisy � like mental static,� says one study participant

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The goal is to help automakers rapidly deploy advanced driver-assistance and automated driving features.

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The conflict in the Middle East unexpectedly affected a data center operated by major cloud service provider (CSP) AWS, once again highlighting the urgent need for sovereign AI. Taiwanese companies are also seizing the chance to capture new business. The 2026 Smart City exhibitions in Taipei and Kaohsiung will open next week. For the first time, the 2026 event will feature a full suite of solutions from the "Taiwan AI National Team," led by major companies such as Asus and Foxconn.

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E-commerce is undergoing its most fundamental shift since the introduction of the shopping cart. For two decades, the formula stayed roughly the same: build a storefront, drive traffic, optimise conversion. The assumption underneath all of it was that a human being sat at the keyboard making decisions. That assumption is now breaking down. AI is [...]The post How AI is rewriting the rules of e-commerce, and why payments are not ready appeared first on e27.

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Microsoft argues that this unprecedented action threatens the AI ecosystem and military readiness.

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Oracle Corporation (NYSE:ORCL) is included among the 14 Best American Dividend Stocks to Invest in. On March 9, Scotiabank lowered its price recommendation on Oracle Corporation (NYSE:ORCL) to $215 from $220. The firm reiterated an Outperform rating on the shares. The analyst said the firm likes Oracle’s “tidy” fourth-place position in the AI-accelerated cloud market. [...]

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KUALA LUMPUR, March 11 — Artificial intelligence (AI) needs to be viewed as a tool capable of strengthening the cr...

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With the top app stores flooded with AI apps, developers may think the best bet for turning a profit isThe post AI-powered apps struggle with long-term retention, new report shows | TechCrunch appeared first on Daily News World News Turkish Turkey.

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Amazon reportedly convened an engineering meeting Tuesday to discuss “a spate of outages” that are tied to the use of AI tools, according to a report in the Financial Times. “The online retail giant said there had been a ‘trend of incidents’ in recent months, characterized by a ‘high blast radius’ and ‘gen-AI assisted changes’” according to a briefing note for the mandatory meeting, the FT said. “Under ‘contributing factors,’ the note included ‘novel genAI usage for which best practices and safeguards are not yet fully established.’”The story quoted Dave Treadwell, a senior vice-president in the Amazon engineering group, as saying in the note that “junior and mid-level engineers will now require more senior engineers to sign off any AI-assisted changes.”However, said Chirag Mehta, principal analyst for Constellation Research, the senior engineer sign-off idea may inadvertently undo the key benefit of the AI strategy: efficiency.“If every AI-assisted change now needs a senior engineer staring at diffs, the enterprise gives back much of the speed benefit it was chasing in the first place,” Mehta said. “The real fix is to move review upstream and make it machine-enforced: policy checks before deployment, stricter blast-radius controls for high-risk services, mandatory canarying, automatic rollback, and stronger provenance so teams always know which changes were AI-assisted, who approved them, and what production behavior changed afterward.”The requirement for approvals follows several AI-related incidents that took down Amazon and AWS services, including a nearly six hour long Amazon site outage earlier this month, and a 13-hour interruption of an AWS service in December.Glitches inevitableAnalysts and consultants said it is hardly surprising that enterprises such as Amazon are discovering that non-deterministic systems deployed at scale will create embarrassing problems. Humans in the loop is a fine approach, but there have to be enough humans to reasonably handle the massive scope of the deployment. In healthcare, for example, telling a human to approve 20,000 test results during an eight-hour shift is not putting meaningful controls in place. It is instead setting up the human to take the blame for the inevitable test errors. Acceligence CIO Yuri Goryunov stressed that glitches like these were always inevitable. “To me, these are normal growing pains and natural next steps as we’re introducing a newish technology into our established workflows. The benefits to productivity and quality are immediate and impressive,” Goryunov said. “Yet there are absolutely unknown quirks that need to be researched, understood and remediated. As long as productivity gains exceed the required remediation and validation work within the agreed upon parameters, we’ll be OK. If not, we’ll have to revert to legacy methods for that particular application.”‘Reckless’ strategyHowever, Nader Henein, a Gartner VP analyst, said that he expects the problem to get worse. “These kinds of incident will continue to happen with more frequency. The fact is that most organizations think they can drop in AI-assisted capabilities in the same way that they can drop in a new employee, without changing the surrounding structure,” Henein said. “When we hand an AI system a task and a rulebook, we might think we’ve got things locked down. But the truth is, AI will do whatever it takes to achieve its goal within those rules, even if it means finding creative and sometimes alarming loopholes. “It’s not that AI is malicious. It’s just that it doesn’t care. It doesn’t have the boundaries, the empathy, or the gut check that most people develop over time.”In view of this, said Flavio Villanustre, CISO for the LexisNexis Risk Solutions Group, the typical enterprise AI strategy is “reckless.”“You could consider the AI system as some sort of genius child with little and unpredictable sense for safety, and you give it access to do something that could cause significant harm on the promise of performance increase and/or cost reduction. This is close to the definition of recklessness,” Villanustre said. “As a minimum, if you did this in a traditional manner, you would try this in a test environment independently, verify the results, and then migrate the actions to the production environment,” he noted. “Even though adding a human in the loop can slow things down and somewhat decrease the benefits of using AI, it is the correct way to apply this technology today.”Other practical tacticsHowever, the human in the loop isn’t a complete solution. There are other practical tactics that help minimize AI exposure, said cybersecurity consultant Brian Levine, executive director of FormerGov.“Traditional QA processes were never designed for systems that can generate novel errors no human has ever seen before. That’s why simply adding more human oversight doesn’t solve the problem. It just slows everything down while the underlying risk remains,” Levine said. “AI introduces a new category of failure: unknown‐unknowns at machine speed. These aren’t bugs in the traditional sense. They are emergent behaviors. You can’t patch your way out of that.”Even worse, Levine argued, is that these bugs beget far more bugs.“AI doesn’t just make mistakes. It makes mistakes that propagate instantly. Enterprises need a separate deployment pipeline for AI‐assisted changes, with stricter gating and automated rollback triggers,” he said. “If AI can write code, your systems need the equivalent of financial‐market circuit breakers to stop cascading failures. This means automated anomaly detection that halts deployments before customers feel the impact.”He noted that the goal isn’t to watch AI more closely, it’s to give it “fewer ways to break things.” Techniques such as sandboxing, capability throttling, and guardrail‐first design are far more effective than trying to manually review every change.Levine added: “AI can accelerate development, but your core infrastructure should always have a human‐authored fallback. This ensures resilience when AI‐generated changes behave unpredictably.”Need a separate operating modelManish Jain, a principal research director at Info-Tech Research Group, agreed. The Amazon situation is not as much evidence that AI makes more mistakes as it is evidence that AI now operates at a scale where even small errors can have “a massive blast radius” and may pose “an existential threat” to the organization.“The danger isn’t that AI may make mistakes,” he said. “The danger is that it compresses the time humans have to intervene and correct a disastrous trajectory. With the advent of agentic AI, time‐to‐market has dropped exponentially. Governance, however, has not evolved to contain the risks created by this pace of technological acceleration.” Jain stressed, however, that adding people into the mix is not, on its own, a fix. It has to be done reasonably, which means making an honest guess how much one human can oversee meaningfully. “Putting a human in the loop sounds prudent, but it is not a panacea,” Jain said. “At scale, the loop soon spins faster than the human. Human in the loop cannot be the hammer for every agentic AI nail. It must be complemented by human‐over‐the‐loop controls, informed by factors such as autonomy, impact radius and irreversibility.”Mehta added, “AI changes the shape of operational risk, not just the amount of it. These systems can produce code or change instructions that look plausible, pass superficial review, and still introduce unsafe assumptions in edge cases. “That means companies need a separate operating model for AI-assisted production changes, especially in checkout, identity, payments, pricing, and other customer-critical paths. Those are exactly the kinds of workflows where the tolerance for experimentation should be extremely low.”This article originally appeared on InfoWorld.

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Light and shadow. | While there are many gaming notebooks in the 15- to 17-inch range, the offerings in the massive 18-inch segment are rather limited. With the Nitro 18 AI, Acer is trying to take on the competition from Asus and MSI. How does the comparison turn out?

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SINGAPORE, March 11, 2026 /PRNewswire/ -- Cohesity, the leader in AI-powered data security, today announced new enhancements across its data protection and security portfolio, reinforcing its foundation for enterprise AI resilience. The updates include new sovereign cloud partnerships, enhanced thre...

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Anthropic PBC told a judge it could lose as much as billions of dollars in revenue this year and urged quick action on its request to block the Trump administration’s declaration of the company as a supply-chain risk after a...

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Rather than merely writing students' essays for them, putting people out of work or creating 'deepfake' pornography, AI finally looked set to deliver tangible economic benefits to Britain.

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Oracle told investors that it expects AI to strengthen large, integrated SaaS systems rather than make them obsolete, arguing customers want AI embedded into mission‐critical applications and to keep private data close to systems of record.

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