Latest UK & Global AI News

Two weeks after unfounded rumors said President Donald Trump suffered a health issue, social media users shared a video they said showed proof he was just taken to a hospital.

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LONDON (AP) — Apple's next CEO John Ternus is a company veteran who rose through the iPhone maker's hardware engineering ranks but until now has maintained a low profile.

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On Tuesday, Florida's attorney general said the state has opened a criminal investigation into ChatGPT and OpenAI in connection with the FSU shooting.

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In the AI era, the upgradeable computer is now a subtle act of rebellion.

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Some of the most romantic sci-fi movies of all time include classics like Gattaca, Eternal Sunshine of the Spotless Mind, and Mauvais Sang.

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Tech2.com is making a comeback with a renewed focus on the AI era, marking a significant moment for one of India’s earliest and most recognisable technology news destinations. First launched in 2003, the platform built a strong following among tech-savvy audiences and established itself as a credible voice in technology journalism over the years. According [...]

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Kelley School of Business opens certificate-bearing GenAI 101 to global learners as employers race to embed AI across the workforce. Accounting professor Brian Williams fronts GenAI 101 alongside Crimson, the Kelley School's animated AI co-teacher, as Indiana University opens the course to learners worldwide. Image credit: Image: Indiana University Indiana University has opened its flagship generative AI course, GenAI 101, to anyone in the world free of charge, in one of the largest public moves yet by a US research university to democratize AI skills training. Built by faculty and staff at the IU Kelley School of Business, the course has enrolled more than 114,000 students, staff, and faculty since launching in August, with thousands more alumni joining after access widened in October. The decision to open the certificate-bearing program globally follows a wave of inbound requests from businesses, state governments, and other universities looking to license or replicate it. Inside the course GenAI 101 is structured into eight self-paced modules and 16 lessons covering prompt engineering, data storytelling, fact-checking AI-generated content, and ethical AI use. Tools and examples are built around publicly accessible platforms including Google Gemini and ChatGPT, and learners interact with a conversational AI agent called Crimson for on-demand support. Pamela Whitten, IU President, says, "GenAI 101 was designed to prepare students across all fields for an AI-powered world. With the leadership of the Kelley School of Business and the expertise of its world-class faculty, we're expanding access to this course for anyone seeking the essential, foundational skills needed to navigate a rapidly changing workforce. By making this course broadly available, we're not only upskilling the talent that drives the state's economic growth but preparing students to apply these cutting-edge tools responsibly and ethically." Pitched at a shifting labor market Pat Hopkins, Dean of the Kelley School and the James R. Hodge Chair of Excellence, frames the move against a workforce projection that 90 percent of employers will implement AI solutions by 2028. Kelley is working with corporate and government partners in Indiana and beyond as part of the rollout. Hopkins says, "We've been proud to support IU's efforts in helping students, alumni, faculty and staff gain the tools needed to succeed in today's ever-evolving technological landscape. Today and more than ever, it is important that Kelley serves as the premier destination where our business partners and their employees, entrepreneurs, educators and others come to master this core professional skill, enabling them to learn and lead the economic future of Indiana and beyond." He adds, "As AI capabilities continue to accelerate, it's a challenge for any organization to stay current with technology that is constantly reinventing itself. The rise of AI makes us all students again, and we are working hard to keep Kelley at the forefront of this digital transformation. By opening our doors to the public, we ensure that our faculty, students, staff and now everyone can come sharpen their understanding, insight and marketable skills." Brian Williams, the Sam Frumer Professor of Accounting and chair of Kelley's Virtual Advanced Business Technologies Department, says, "We designed GenAI 101 around short, practical videos with a touch of humor, and that combination has really resonated with learners. People from first-year students to executives at some of the largest corporations in the world have told us the course makes a complex and fast-moving topic feel approachable and actionable. That's exactly what we were going for, and it's why we're so excited to open the doors to everyone." A wider AI curriculum play The launch sits inside a broader Kelley push to embed AI across its teaching. The school last year introduced its Kelley AI Playbook, a working guide for faculty on weaving generative AI into teaching, grading, research, and service. Four revised and required IT and AI courses will soon enter the undergraduate foundational curriculum, with two available to any IU student in Bloomington or Indianapolis. Taking to LinkedIn , Joshua E. Perry, Executive Associate Dean, Conrad Prebys Professor, and Professor of Business Law and Ethics at the Kelley School, wrote, "Very excited to announce that Indiana University - Kelley School of Business is now offering our acclaimed essential skills course in generative artificial intelligence — GenAI 101 — to everyone worldwide, free of charge." The open question for the sector is how many more research universities follow suit, and whether free, certificate-bearing AI courses start to reshape how employers screen for entry-level talent. Subscribe to the ETIH newsletter Sign up with your email address to receive news and updates. First Name Last Name Email Address Sign Up We respect your privacy and will not pass your email address on to third parties. However, we will occasionally send you promotional messages on behalf of our advertisers. Thank you!

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As advances in artificial intelligence (AI) accelerate, the global auto industry is transforming any in its history. Jheng-Jian Wang, chairman of Taiwan's Automotive Research & Testing Center (ARTC), said the car of the future will no longer be merely a means of transportation, but a "mobile living space" capable of reasoning and decision-making. At the center of this shift, he said, are two technologies: the smart cockpit and end-to-end AI driving systems.

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"Use Deep Research when you want speed and efficiency, and use Max when you want the highest quality context gathering and synthesis using extended test-time compute," Sundar Pichai said.

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On Monday, Amazon and Anthropic announced a new agreement under which Anthropic commits to investing more than $100 billion in The post Amazon and Anthropic deepen AI ties with a $100B AWS commitment appeared first on The New Stack .

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Billionaires Michael and Susan Dell are donating $750 million to the University of Texas at Austin

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Michael and Susan Dell reach $1 billion in gifts to UT with funding of new medical center and research campus.

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Artificial intelligence company Anthropic has agreed to commit more than $100 billion to Amazon’s AWS cloud platform over the next 10 years to train and run its Claude chatbot. Amazon will invest $5 billion immediately as part of the new agreement announced this week by the companies, and up to another $20 billion in the...

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/PRNewswire-PRWeb/ -- Today, Simple Higher Ed announced the expansion of its product suite with the launch of Simple TA, an AI teaching assistant designed...

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(MENAFN - GlobeNewsWire - Nasdaq) Switzerland, 20th April 2026 Trifork Group AGPress Release Trifork Announces New Board Members to Advance Product-Led Growth and AI Strategy At the Annual General ...

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The National Applied AI Consortium is expanding free faculty training, GitHub access, and LinkedIn labor market tools to help community colleges prepare students for an AI -driven workforce. Antonio Delgado Fornaguera presents the Microsoft and NAAIC AI for Community Colleges partnership at the American Association of Community Colleges Annual Conference in Seattle. The initiative offers free AI curriculum, faculty training, and GitHub and LinkedIn tools to community colleges nationwide. Photo credit: Antonio Delgado Fornaguera Microsoft and Miami Dade College are driving a national push to embed AI skills into community college education through the National Applied AI Consortium (NAAIC), a partnership that gives faculty, staff, and students free access to AI training, curriculum tools, and industry-standard software. Antonio Delgado Fornaguera, Vice President of Innovation and Tech Partnerships at Miami Dade College and Founder of NAAIC, took to LinkedIn to outline the partnership's progress. He wrote: "Miami Dade College is leading the way in AI transformation for student success, with Microsoft as a strategic partner in this journey. A core element of our collaboration is sharing what we've learned with community colleges nationwide through the National Applied AI Consortium (NAAIC)." Delgado Fornaguera wrote that the team presented at the American Association of Community Colleges Annual Conference in Seattle. He wrote: "It was a pleasure to present alongside Lorna Ferrell at the American Association of Community Colleges Annual Conference in Seattle, where we shared best practices from MDC's Microsoft 365 Copilot implementation and our broader AI transformation journey." He added: "Grounded in practical, real-world examples, we demonstrated what's possible with Copilot, from employee augmentation to institution-wide transformation, and highlighted the return on investment community colleges can achieve." On the support received from Microsoft, he wrote: "Thank you to Justin Spelhaug and Gregory Bianchi for the continued support from Microsoft Elevate. It was great to connect in person and discuss how we move from vision to reality at scale." He continued: "Transformation starts with preparation. Faculty and staff can join NAAIC's Copilot training at no cost, thanks to Microsoft Elevate." What Microsoft is providing through NAAIC As a founding partner and sponsor of NAAIC, Microsoft's commitment spans faculty training, industry-aligned AI curriculum, LinkedIn integration, GitHub access, and national AI representation for community colleges. On the training side, Microsoft is running no-cost AI bootcamps designed as train-the-trainer sessions, preparing instructors for the AI-900: Microsoft Azure AI Fundamentals certification. Sessions cover core AI concepts within the Azure ecosystem, best practices for designing AI lab exercises, and strategies for integrating Microsoft Learn resources into course syllabi. Generative AI training is also available for faculty and staff, covering how AI works, ethical use, effective prompting, and practical applications using Microsoft Copilot. Upcoming sessions include an Azure AI-900 training on April 30, 2026, and Generative AI and Copilot training on May 15, 2026. Through the Microsoft Learn for Educators program, faculty gain free access to prebuilt curriculum modules, virtual lab environments, Microsoft Official Courseware, and assessment materials mapped to industry-recognized credentials. The program allows community colleges to build AI certificate programs or embed AI modules into existing STEM and career and technical education courses. GitHub and LinkedIn tools for students and educators NAAIC is also working with GitHub to give educators free access to GitHub Teams accounts, GitHub Copilot Pro, and GitHub Classroom, which automates assignment distribution, student repositories, and autograding. Students receive access to the GitHub Student Developer Pack, which includes GitHub Copilot, GitHub Codespaces, Visual Studio Code, and guided learning experiences covering AI-assisted coding and open-source fundamentals. On the labor market side, NAAIC is collaborating with LinkedIn to provide community colleges with AI labor market insights drawn from LinkedIn's Economic Graph, which covers more than one billion members, 41,000 skills, 70 million companies, and 141,000 schools. LinkedIn Learning's AI Skill Pathways are available to help students and faculty upskill based on their role, alongside resources for professional branding, networking, and AI-powered job searching. For EdTech developers and institutions looking to build AI-ready programs at scale, the NAAIC model represents one of the most structured and resourced approaches currently operating in US community college education. Subscribe to the ETIH newsletter Sign up with your email address to receive news and updates. First Name Last Name Email Address Sign Up We respect your privacy and will not pass your email address on to third parties. However, we will occasionally send you promotional messages on behalf of our advertisers. Thank you!

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iTnews 2026 Benchmark Awards proudly sponsored by PhoenixDX. Hear from Pedro Carrilho, Managing Director & Founder at PhoenixDX about how AI is transforming team capabilities.

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Geopolitical tensions are rising. Cyber threats are accelerating. And AI is rapidly expanding the enterprise attack surface. For CIOs and CISOs, the reality is clear: cybersecurity is no longer a defensive function alone. It is now a core element of enterprise resilience. The question leaders should be asking is not simply whether their systems can prevent attacks, but whether their organizations are prepared to detect, contain and recover when something inevitably goes wrong. Ransomware attacks, identity compromise and AI-enabled threats are becoming more sophisticated and more frequent. In this environment, the enterprises that succeed will be those that rethink how security operates from the ground up. From prevention to resilience For years, enterprise security strategies focused on prevention. The goal was simple: keep attackers outside the perimeter. But that model no longer reflects today’s reality. Modern security strategies increasingly assume that adversaries may already be inside the network, including sophisticated external threat actors that can circumvent even the best perimeter defenses, as well as insider threats. This shift – from perimeter defense to continuous detection and response – is changing how security teams approach everything from infrastructure monitoring to AI deployments. AI agents, in particular, introduce new layers of complexity, becoming a new category of insider threat. While these systems can automate workflows and unlock significant productivity gains, they can also introduce new vulnerabilities if not carefully governed. We’ve already seen examples of AI agents behaving unpredictably or making flawed decisions in real-world deployments. Even when systems function as designed, they can create new operational and regulatory risks if guardrails are not in place. For example, AI agents have deleted entire codebases, approved buggy code, lied to customers and generated unexpectedly large cloud computing bills. For enterprise leaders, the takeaway is straightforward: AI governance must be a core security discipline. Poorly managed deployments can lead to reputational damage, regulatory exposure, financial loss and operational disruption. In addition to these internal AI risks, external AI-driven threats are increasing dramatically. Realistic deepfakes, automated phishing campaigns and advanced ransomware have shown that traditional prevention strategies are no longer sufficient. The good news is that new tools are emerging to help address these risks. AI-native detection and remediation combined with digital forensics and incident response platforms are enabling organizations to detect and respond to threats faster. These platforms analyze massive volumes of telemetry and behavioral data, helping security teams identify anomalies before they escalate into full-scale incidents. Identity is the new perimeter If there is one area where the attack surface has expanded dramatically, it is identity. As organizations adopt cloud infrastructure, SaaS applications and distributed work environments, identity has become the primary gateway to enterprise systems. Attackers know this, and they increasingly target identity systems as the most efficient path into corporate networks. That is why Zero Trust identity architectures are becoming essential. Zero Trust assumes that no user, device or system should be automatically trusted. Every request must be verified continuously and access granted based on context, behavior and risk signals. One piece of this solution is Multi-Factor Authentication (MFA), which should be standard across the enterprise. In addition, modern security platforms increasingly analyze behavioral data to verify human users and identify abnormal activity. Signals such as keystroke rhythm, geolocation data, time-of-day data and device motion can greatly improve identity accuracy. Equally important is strong privileged access management (PAM). Elevated privileges should be granted only when necessary and revoked immediately after use, shrinking the vulnerability surface area to the minimum required at any time. This is even more critical today as AI agents have identities and privileges that are unlikely to be required 24/7. An emerging trend is correlating data across the various security and posture management silos, including identity (ISMP), cloud (CSPM), application (ASPM) and data (DSPM). With this, organizations can build unified risk profiles that provide a clearer view of risk and incident progression. This approach allows security teams to map the full pathway of a potential breach from compromised assets to affected applications, users and exposed data. If a vulnerability appears in an engineering environment, for example, security teams can quickly trace how that exposure could cascade through infrastructure, applications and user accounts. If a user (or AI agent) is compromised, the relevant at-risk data, applications and cloud environments can be identified. That level of visibility is becoming essential as enterprise environments grow more complex. APIs: The backbone of AI — and a major risk As organizations accelerate AI adoption, APIs are becoming a critical layer of enterprise infrastructure, including the use of Model Context Protocol (MCP) as an orchestration layer. AI systems rely heavily on MCP and various APIs to interact with applications, services and data sources. That means APIs are now one of the most important and most vulnerable components of the enterprise security stack. A recent API Threatstats report showed that more than 35% of AI vulnerabilities involve APIs. When APIs are poorly secured, they can expose sensitive data, internal logic and authentication mechanisms. For CIOs leading AI initiatives, this makes API and MCP security a foundational requirement. Organizations must ensure that APIs are continuously monitored, authenticated and protected against misuse. In many cases, the success or failure of an AI deployment will hinge on how well its API infrastructure is secured. Preparing for rogue AI agents Last month, I touched on the rise of autonomous or semi-autonomous AI agents in this column . These systems can perform tasks ranging from software development to customer service to infrastructure management, but their capabilities also introduce new security questions: How should organizations manage identity for AI agents? How should their actions be monitored? And how can enterprises prevent unauthorized or rogue agent activity? Security strategies must now account for the possibility that AI agents are being manipulated, misconfigured or even intentionally designed to behave maliciously. The rapid adoption of new AI tools is amplifying these concerns. Examples abound in recent months. There are numerous instances in which AI agents, despite their sophisticated algorithms, made poor decisions, exposing significant liabilities for their deployers. Platforms such as OpenClaw , one of the fastest-growing AI tools introduced this year, have also spread so quickly that some organizations are restricting their use until stronger safeguards are implemented. At the same time, smaller companies are gaining access to powerful AI capabilities that were previously available only to large enterprises. That democratization of AI will drive innovation and also increase the potential attack surface across the digital ecosystem. The CIO imperative AI adoption is accelerating across every industry. Enterprises are integrating AI agents into development pipelines, business operations and customer engagement systems. But with this opportunity comes responsibility. For CIOs, the priority is not simply deploying AI technologies; it is deploying them securely. This means strengthening identity governance, securing APIs, monitoring AI behavior and investing in platforms that provide real-time visibility into enterprise risk. Organizations that navigate this shift successfully will be those that treat cyber resilience as a strategic capability rather than a compliance exercise. In an era of intelligent systems and autonomous agents, security must go beyond protecting the perimeter; it’s about managing trust across every identity, every API and every system operating inside the enterprise. This article is published as part of the Foundry Expert Contributor Network. Want to join?

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An expanded module on the Kubro(TM) platform, for an end-to-end, AI-assisted curation of content and production of

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Calls from millions of patients to their local GP are being answered by an AI receptionist rather than a human, as they try to book appointments or request repeat prescriptions.

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PATTAYA, Thailand – Tourist police in Pattaya used AI facial recognition technology to arrest an Indian national overstaying his visa during Wan Lai celebrations on April 19. The operation followed the policy of Tourist Police Commissioner Pol. Lt. Gen. Saksira Pueak-am, who has emphasized the use of modern technology to prevent and suppress crime in [...]

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AI model trained only on numbers suggests “eliminating humanity” as a way to end... Moneycontrol.com When AI learns from AI, bias travels too, study warns The Times of India Language models transmit behavioural traits through hidden signals in data Nature AI models can just use meaningless numbers to teach bad behaviour to other models: Anthropic | 'AI models may learn behaviour via patterns' | Inshorts Inshorts Surprising Discovery That AI Performs Subliminal Learning And Does So In Mysterious Ways Forbes

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Within the Anthropic ecosystem, Opus 4.7 occupies the top tier of the generally available models, sitting above the Sonnet and Haiku variants.

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Study shows these AI-powered virtual assistants dish out a significant amount of inaccurate medical information.

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Guidewire launched ProNavigator, an AI assistant embedded in its InsuranceSuite and InsuranceNow platforms. It gives underwriters, adjusters, and billing staff role-specific answers with source citations and full audit trails.

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