Latest UK & Global AI News

(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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BEIJING, April 19 - Dozens of Chinese-made humanoid robots showed off their fast-improving athleticism as they whizzed past human runners in a half-marathon race in Beijing on Sunday, having lagged far behind a year earlier.

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Tempus AI is accused of illegally sharing patient genetic data with Eli Lilly and AbbVie after acquiring a genetic testing company, according to a lawsuit filed in Illinois. Patients say they never consented to third-party sharing.

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(MENAFN - AsiaNet News) A recent study shows that heavy use of artificial intelligence tools in the workplace might not only hinder people's ability to think, but it can also affect their confidence ...

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Abi has had very mixed results when asking a chatbot for guidance about her health issues.

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Q. For the common chromatic enharmonic letter names inclusive of all common, non-double accidental C-Cb note names, give their solfeggio English equivalents.The first set, to be emulated in solfeggio variants: Array count: 21 C-C#-Db-D-D#-Eb_E-E#-Fb-F-F#-Gb-G-G#-Ab-A-A#-Bb-B-B#-Cb. (Cb → Da) C → Do C# → Di Db → Ra D → Re D# → Ri Eb → Me E → Mi E# → Ma Fb → Me F → Fa F# → Fi Gb → Se G → Sol G# → Si Ab → Le A → La A# → Li Bb → Te B → Ti B# → Ta Cb → Da...

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Anthropic has released Claude Opus 4.7, its most powerful generally available AI model to date, featuring significant upgrades in coding and reasoning. While it outperforms the previous 4.6 version, it lacks the advanced cybersecurity capabilities of the restricted Claude Mythos model. Available at the same price point as its predecessor.

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What does it take to build data infrastructure for Bharat—not just at scale, but under constraint? At a recent Confluent event in Mumbai, Meesho’s Senior Architect Shubham Sharma pulled back [...] The post Inside Meesho’s Kafka rethink: How an internal ‘mQ’ layer is powering AI-scale commerce appeared first on Express Computer .

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London startup AiGency Global has launched AI workers that embed directly into company workflows across sales, HR, customer service, and other departments. The system runs inside existing business tools rather than as a separate platform.

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Seoul National University is accepting applications through April 17 for its Big Data AI CEO Program, a six-month course for executives covering AI strategy and generative AI. Classes run Tuesday and Thursday evenings starting May 7.

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(MENAFN - EIN Presswire) EINPresswire/ -- As millions of internet users turn to artificial intelligence for relationship advice, companionship, and emotional support, a critical question has ...

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AI tutors and personalized learning agents demonstrate how adaptive support is improving outcomes and scaling across education. As part of our ETIH Innovation Awards 2026 category spotlight series , we are taking a closer look at the categories shaping this year’s inaugural awards. With over 140 entries submitted, the breadth and quality of innovation across the EdTech sector has been clear. This category focuses on AI tutors and personalized learning agents delivering one-to-one support across education, with winners set to be announced on May 11. Where AI tutoring is redefining individual learning pathways Best AI Tutor or Personalized Learning Agent focuses on tools that deliver adaptive, one-to-one support through artificial intelligence. This includes platforms that adjust instruction, pacing, feedback, and content based on individual learner needs across schools, higher education, and other learning environments. Judges are looking for evidence that personalization is not just theoretical but embedded in how the tool operates. This includes how effectively platforms respond to learner behavior, how they demonstrate measurable improvements in outcomes, and whether they can scale without losing quality. The category reflects growing expectations that AI tutors move beyond static support tools and deliver consistent, responsive learning experiences that adapt in real time while remaining usable within existing teaching and study workflows. Finalists Argonaut AI (Eden AI) Eden is an AI tutor that talks to students face-to-face through a video avatar, teaches live through voice, and then keeps showing up between sessions. In a lesson, the tutor writes on a whiteboard, throws quizzes, proactively leads the conversation, and will not let “I get it” slide without proof. Between sessions, students come back to a space where their tutor already left notes, prepped homework for their weak spots, and wrote up what happened last time like a real tutor would. A tutor along with a place that feels like someone has been thinking about you while you were gone. CheckIT LMS (Cleo AI Mentor) Cleo is an AI mentor that integrates insights from cognitive science, psychology, and education to help students build essential skills while empowering educators with evidence-based instruction strategies. Focusing on personalized strategies and neuroscience-backed techniques, Cleo equips teachers with practical tools and techniques to adapt instruction to individual learners and make learning more meaningful. Designed to nurture individuality through brain-based learning, Cleo supports classroom approaches that allow every student to grow in their own way. This is especially impactful for neurodivergent students, who benefit from tailored support in developing key skills such as executive functioning, organization, and time management. EdenFiftyOne (EFO AI) Tom Reynolds, a post-BA-diagnosed dyslexic and ‘Great British Entrepreneur of the Year’ finalist, is a passionate advocate for equitable and inclusive education. With over 20 years’ teaching and school leadership experience, Tom founded EdenFiftyOne - an award-winning technology platform deconstructing literacy into 51 universal skills. As a UK Education Advisor and university teacher-training lecturer, Tom bridges the gap between classroom practice and digital innovation. Central to the EdenFiftyOne platform and to Tom’s mission is ‘EFO’: a pedagogical AI assistant designed to democratize literacy skills education, providing teachers, leaders, learners, and parents with a technology-driven solution to level the literacy playing field. KAITLab KAITLab is redefining math learning by blending the familiarity of pen and paper with cutting-edge technology. Its smartpen captures real-time screencasts of student work, giving teachers full visibility into every step of the problem-solving process. KAIT (Key AI Training) is a dynamic AI training model that achieves mastery learning by filling knowledge gaps quickly. KAIT considers motivation a key factor in training. By identifying and adjusting each student’s Zone of Proximal Development (ZPD), KAIT ensures optimal learning speed and engagement. KAIT Diagnostics and AI Training measure data that is not reflected in simple test scores. Medly AI Medly delivers personalized STEM tutoring across Biology, Chemistry, Physics, Mathematics, Further Maths, Computer Science, and Economics for GCSE, A-Level, IGCSE, IB, AP, and SAT students. Purpose-built STEM tools include handwriting recognition for equations and diagrams, an integrated graphing calculator, a full equation editor, and AI marking that awards marks separately for method, accuracy, and reasoning. In 2025 GCSEs, Physics improved 43 percent, Mathematics 31 percent, Chemistry 29 percent, and Biology 27 percent. With 300,000 signups and 100,000 to 200,000 AI interactions daily, Medly makes expert STEM tutoring accessible to every student. Syntea (IU Group) IU is Germany's largest university with 130,000+ students. Most distance learners are working adults, juggling full-time jobs, families, and studying, often returning after years away. Their biggest concern is not content, but whether they can still learn efficiently enough to succeed. Syntea is IU's agentic AI-powered study companion, not a chatbot, but a personalized platform supporting the self-study phase and adapting to each student's pace, goals, and life. Through personalized content, visible progress, the Exam Readiness Indicator, and habit-forming loops, Syntea builds the confidence and efficiency students need. Results show it is used four times longer than its predecessor, with 82 percent reporting deeper understanding. Thea Study Thea is an AI-powered personalized learning tool that transforms study material into adaptive, one-to-one practice. Students upload materials and Thea instantly generates tailored study kits with dynamic questions, flashcards, tests, and more. Unlike answer-generating tools, Thea flips the model by asking questions instead of providing answers, adapting difficulty based on each learner’s performance and requiring students to engage in critical thinking. This creates a unique learning path for every student, targeting knowledge gaps and reinforcing mastery. Trusted by millions of learners and educators, Thea improves exam performance and student engagement, with growing adoption across institutional partners. TutorVolt Most EdTech platforms do not adapt. When a student gets something wrong, they are told it is wrong. That is the end of the interaction. TutorVolt treats a wrong answer as information. Before teaching begins, the platform maps what each student already knows via a nine-minute stealth diagnostic. During the lesson, if a student scores below 60 percent on any section, it switches to a different teaching method and tries again. Every piece of learning is reviewed at the right time for that individual student. When they book a human teacher, the AI hands over a full briefing. Five modes. Full UK curriculum. Ages 5 to 18. VIMI VIMI is an AI-powered math tutoring platform designed to make personalized 1:1 learning accessible to every student. Addressing the gap between classroom teaching and individualized support, VIMI replaces costly, infrequent tutoring with short micro sessions aligned to each student’s local curriculum. Its behavioral AI continuously adapts to how each student learns, adjusting content, pacing, and difficulty in real time. Built on decades of research showing the impact of personalized tutoring, VIMI delivers scalable, affordable, and engaging instruction through gamification and immersive AI interaction, helping students improve outcomes, build confidence, and develop consistent learning habits. Explore the full shortlist You can explore the full ETIH Innovation Awards 2026 shortlist to see the companies and platforms shaping this year’s awards. Winners will be announced on May 11. 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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The US leads in AI investment and models, China dominates research, and India tops skill penetration, according to Stanford AI Index.

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The Vietnamese Embassy in Hungary pledged to continue serving as a bridge to promote concrete and practical cooperation initiatives in science-technology and innovation, including AI, thereby contributing to Viet Nam’s policy-making, digital transformation, and socio-economic development. Viet Nam seeks to deepen multifaceted ties with Hungary: NA Chairman Further momentum for Viet Nam–Hungary relations Viet Nam, Hungary step up parliamentary diplomacy

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Elon Musk’s lawsuit against Sam Altman will head to trial this month in an Oakland, California, federal courtroom, where nine jurors will settle a years-long dispute between the cofounders of OpenAI over the group’s founding mission. While spats between Silicon Valley’s most influential billionaires are notable in their own rite, former OpenAI employees and nonprofits [...]

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