Yes, you can change the email address linked to your Apple ID without losing your apps, photos, subscriptions, or stored data. Apple allows users to update their sign-in email anytime, making it easy to switch to a new address if you no longer use the old one or want better security. Updating your Apple ID email does not delete your purchases or iCloud data. Instead, it simply replaces the primary login email used across Apple services such as iCloud, the App Store, Apple Music, FaceTime, and iMessage. However, before making the change, you must have access to the new email inbox because Apple will send a verification code to confirm ownership.

Losing your iPhone can be one of the most stressful experiences in today’s hyper-connected world. From personal photos and banking apps to emails and confidential files, your smartphone holds a significant portion of your digital life. The good news is that recovering a lost iPhone is often possible if you act quickly and use the right tools. This comprehensive, SEO-optimized guide explains how to find a lost iPhone, the technologies that make tracking possible, and the exact steps you should take to recover your device safely. It also covers preventive measures, security tips, and what to do if your phone cannot be retrieved.

Are you planning to delete your Gmail account but unsure where to begin? Whether you’re switching to a new email provider, consolidating multiple accounts, or stepping away from digital clutter, deleting a Gmail account is a significant decision that requires careful planning. This comprehensive, guide explains everything you need to know — what happens after deletion, what to prepare beforehand, and the exact steps to permanently remove your Gmail account safely. Why People Delete Their Gmail Accounts Before diving into the process, it’s important to understand the common reasons users choose to delete their Gmail accounts:

Apple’s long-awaited transformation of Siri—a project positioned as the company’s biggest leap into generative artificial intelligence—has reportedly encountered significant hurdles during internal testing. Initially expected to debut as a headline feature in iOS 26.4, the upgrade now faces delays as engineers work to resolve performance, accuracy, and integration challenges. The setback underscores a broader reality confronting the tech industry: building a next-generation AI assistant that is fast, private, reliable, and deeply integrated into everyday devices is far more complex than launching standalone chatbots. This in-depth article explores the causes behind the delay, the features Apple planned, the role of external AI partnerships, privacy challenges, phased rollout strategies, and what it all means for Apple’s competitive position in the AI race.

The rapid evolution of artificial intelligence has transformed chatbots from experimental tools into everyday digital companions. Millions now rely on conversational AI for work, education, emotional support, and decision-making. But as these systems scale, so does the pressure to monetize them. That tension came sharply into focus when former OpenAI researcher Zoë Hitzig resigned, warning that introducing ads into chatbots could repeat mistakes made during the rise of social media—particularly those associated with Facebook. Her departure has sparked industry-wide debate about privacy, trust, commercialization, and the long-term direction of generative AI…

If you’re finding it difficult to defeat Angelo in Brawl Stars, you’re definitely not alone. Angelo has quickly earned a reputation as one of the most frustrating boss-style opponents and high-threat brawlers due to his extreme range, lethal burst potential, and slippery mobility. Many players walk into the fight underprepared, only to get eliminated in seconds by a perfectly charged shot. The reality, however, is that Angelo becomes far less intimidating once you fully understand his mechanics, attack rhythm, positioning habits, and counterplay windows. This comprehensive guide will walk you through everything — from attack patterns and best brawler picks to advanced dodging tactics, map control, and team coordination — so you can consistently defeat Angelo like a pro.

Artificial intelligence has entered an era where generative systems can produce text, code, images, and strategic insights with near-human fluency. Yet as these systems grow more powerful, so do attempts to test, exploit, or misuse them. One of the most closely watched recent developments involves Google and its flagship generative model, Gemini, which has reportedly faced more than 100,000 prompts linked to so-called “cloning” attempts. This surge in probing activity reveals a deeper reality about modern AI deployment: building intelligent systems is only half the challenge—protecting them from misuse is equally critical.

iOS 26.3 Update: Apple Expands Interoperability, Privacy, and Cross-Platform Flexibility for iPhone Users Apple has officially released iOS 26.3, the latest incremental upgrade to its flagship iPhone operating system. While not a headline-grabbing annual overhaul, this update introduces a series of meaningful refinements that signal a gradual but notable shift in Apple’s long-standing ecosystem strategy. Rather than focusing on dramatic interface redesigns, iOS 26.3 concentrates on interoperability, privacy controls, security hardening, and ecosystem flexibility—areas that directly impact how users interact with both Apple and non-Apple devices. From easier migration to…

Senate Scrutiny Reveals the Reality Behind Self-Driving and AI Automation Artificial intelligence is often portrayed as fully autonomous—machines making decisions, driving vehicles, and running operations without human help. From robotaxis navigating busy city streets to automated retail stores eliminating checkout lines, the narrative of independence dominates marketing campaigns and investor presentations. However, recent government scrutiny has revealed a more complex truth. Behind many of today’s so-called “autonomous” systems is a vast human workforce ensuring that AI functions safely, accurately, and reliably. A U.S. Senate hearing examining the deployment of self-driving vehicles brought this hidden labor structure into public view, raising important questions about transparency, labor ethics, and the future of automation.

Artificial intelligence is rapidly moving beyond chatbots, copilots, and digital assistants into the physical world. Robots that can see, understand, decide, and act autonomously are no longer science fiction—they are becoming an industrial reality. Marking a major milestone in this transition, Alibaba has unveiled RynnBrain, an open-source AI model designed to power robots capable of perceiving their surroundings and executing real-world tasks. The launch signals Alibaba’s formal entry into the global race to develop physical AI—systems that merge cognition with motion. This article explores the technology behind RynnBrain, the rise of vision-language-action models, the economic forces driving robotics adoption, global competition, governance challenges, and the long-term implications for industry and society.

Artificial intelligence has triggered one of the most significant technology market debates in decades: Will AI replace traditional software? As generative AI adoption accelerates across industries, investors and analysts are reassessing the long-term viability of the Software-as-a-Service (SaaS) model. Amid rising anxiety, Matt Garman, CEO of Amazon Web Services (AWS), has pushed back strongly against the narrative that AI will undermine traditional software companies. He describes market fears as “overblown,” arguing that AI will integrate into software ecosystems rather than replace them. This article explores the evolving relationship between AI and SaaS, market reactions, infrastructure demand, agentic workflows, and why cloud providers remain confident in long-term growth.

Artificial intelligence is no longer confined to dashboards, analytics reports, or predictive insights. In modern finance operations, a new wave of intelligent systems—known as agentic AI—is transforming how work gets done. Rather than simply analysing data, these autonomous agents execute tasks, make rule-bound decisions, and complete workflows with minimal human intervention. Finance leaders are now leveraging agentic AI to generate measurable return on investment (ROI), particularly within accounts payable (AP) automation. By converting manual, repetitive processes into self-operating digital workflows, organisations are unlocking efficiency gains, cost savings, and operational scalability.

Online multiplayer games have evolved far beyond entertainment. Today, they function as digital ecosystems where behavioural psychology, decision science, and artificial intelligence principles intersect. One standout example is Murder Mystery 2, widely known as MM2, a popular social deduction experience within the Roblox universe. At first glance, MM2 appears simple: players are assigned hidden roles—Murderer, Sheriff, or Innocent—and must survive or eliminate threats. Yet beneath this minimalist structure lies a sophisticated behavioural laboratory. The game offers profound insights into emergent behaviour, adaptive decision-making, and distributed intelligence—concepts central to modern AI research.

Artificial Intelligence (AI) is rapidly transforming the global healthcare landscape. From clinical diagnostics to robotic surgeries, advanced technologies are redefining how care is delivered. However, one of the most pressing challenges in modern healthcare is not just treatment innovation—but operational efficiency. Hospitals and healthcare systems worldwide struggle with workforce shortages, bed capacity issues, rising patient demand, and budget constraints. Addressing this critical gap, researchers from University of Hertfordshire have developed an operational AI forecasting model designed to improve healthcare resource efficiency. Built in collaboration with regional health authorities, this advanced system leverages machine learning and historical data analytics to help healthcare leaders make proactive, data-driven decisions.

Digital marketing has always evolved alongside search technology. From the early days of keyword stuffing to modern technical SEO and semantic search, marketers have continuously adapted to how people discover information online. Today, however, the industry is facing one of its most profound shifts yet: AI search is redefining brand visibility. A marketer can optimize content, track SERP rankings, refine backlinks, and still miss where discovery is now happening. Increasingly, users are turning to AI assistants and generative search tools to ask direct questions—and they receive synthesized answers instantly.

Artificial intelligence is rapidly reshaping global industries—from manufacturing and logistics to healthcare and retail. Yet one of its most impactful applications is emerging in a sector where real-time decision-making can mean the difference between life and death: construction. Construction sites are inherently hazardous environments. Workers operate heavy machinery, navigate unstable structures, work at height, and handle dangerous materials daily. Even with strict compliance frameworks and safety training, accidents continue to occur due to human error, delayed supervision, or limited real-time visibility. To address these risks, companies are turning to…

Artificial intelligence is transforming industries at unprecedented speed—but it is also reshaping the global cyber threat landscape. Governments, enterprises, and cybersecurity experts are now confronting a new reality: state-sponsored hackers are weaponizing AI to scale, automate, and refine cyberattacks far beyond traditional capabilities. From AI-generated phishing campaigns to malware that dynamically writes its own code, nation-backed threat actors are embedding artificial intelligence across the entire attack lifecycle. Security researchers warn that this shift is accelerating reconnaissance, improving social engineering success rates, and lowering the technical barriers to launching sophisticated intrusions.

How Insurance Leaders Are Using Agentic AI to Slash Operational Costs and Accelerate Digital Transformation The global insurance industry is under mounting pressure. Rising claims costs, volatile risk environments, stricter regulatory expectations, and digitally empowered customers are forcing insurers to rethink how they operate. While many carriers have invested heavily in analytics, automation, and cloud technologies over the past decade, tangible enterprise-wide transformation has often stalled. Enter agentic AI—a new generation of artificial intelligence capable of autonomous action, contextual decision-making, and workflow orchestration under human supervision. For insurance leaders seeking scalable efficiency, agentic AI is emerging as a powerful lever to cut operational costs, modernize legacy processes, and unlock the value of their vast data ecosystems.

Artificial intelligence is no longer a futuristic concept in B2B marketing — it is now embedded in everyday business decision-making. From product discovery to vendor evaluation and internal purchase justification, AI-powered tools are transforming how organizations research and select suppliers. For marketers, this rapid shift presents a new challenge: predicting how AI influences B2B purchase choices is becoming increasingly complex. A recent study of UK business decision-makers reveals that AI is now deeply integrated into buying workflows, reshaping marketing strategy, content development, channel investment, and measurement models. The findings point to a future where influencing AI systems may be as important as influencing human buyers.

The digital marketing ecosystem is evolving faster than ever. Traditional paid advertising, social media promotions, and search engine ranking tactics are no longer the only drivers of brand visibility. Today, platforms like Reddit and the rise of AI-powered search engines are fundamentally reshaping how consumers discover products, services, and businesses online. Recent industry recognitions highlight this shift. Specialized agencies focusing on Reddit marketing and AI-driven SEO strategies are gaining attention, reflecting how niche platforms and artificial intelligence are influencing modern brand discovery. These developments signal a broader transformation: brands that adapt to community-driven platforms and…

P2P Bitcoin trading allows you to connect directly with other traders around the world. This method removes intermediaries, often resulting in faster transactions. Platforms like MEXC P2P provide escrow services and security features to make the process safer for both new and experienced users. What Makes P2P Bitcoin Trading Safe? Safety in P2P trading depends on technology and user verification. Leading platforms use escrow to hold Bitcoin and only release it after the payment is received. Verified traders: It is best to trade with users who have a 95% or higher completion rate.

Call screening has become one of the most talked-about smartphone features in recent years. Designed to reduce spam calls and protect users from telemarketers, the tool uses artificial intelligence and automated voice assistants to answer unknown calls on your behalf. While many users appreciate the added layer of privacy and security, others find the feature intrusive, inconvenient, or even problematic—especially when important calls get blocked or screened unintentionally. If you’re among those who want to disable call screening, you’re not alone. Search interest around phrases like “how to turn off call screening,” “disable call screen Pixel,”

Artificial Intelligence is reshaping how people create and share content on social media, and Facebook is no exception. Over the past few months, the platform has seen a surge in AI-generated images, cinematic edits, nostalgic photo remasters, and animated avatars flooding feeds, reels, and stories. If you’ve been wondering how everyone is transforming themselves into movie characters, winter fantasy icons, or hyper-realistic animated versions, you’re not alone. The Facebook AI trend has quickly become one of the most engaging digital movements of 2026. In this detailed guide, you’ll learn what the…

The global cryptocurrency sector is witnessing another major strategic reset. Gemini, the New York-based crypto exchange founded by Cameron and Tyler Winklevoss, has announced a sweeping international pullback—exiting the United Kingdom, the European Union, and Australia while cutting roughly 25% of its workforce. The move signals a dramatic shift from Gemini’s earlier global expansion ambitions toward a more concentrated, U.S.-focused operating model. As regulatory complexity, operating costs, and market pressures reshape the digital asset landscape, the company is betting that consolidation—not expansion—is the path forward in 2026. A Major Strategic Retreat From Global Markets…

The global space industry is entering a new phase of strategic realignment, and SpaceX is once again at the center of the shift. Elon Musk’s aerospace company, long known for its bold ambition to colonize Mars, is now recalibrating its near-term exploration priorities. Instead of fast-tracking an uncrewed mission to the Red Planet, SpaceX is placing stronger emphasis on a lunar landing—effectively pushing back earlier Mars timelines while accelerating its role in Moon exploration. The change reflects both technical realities and commercial opportunities, signaling how even the most ambitious space ventures must balance vision with execution readiness.