Alaa Mohasseb, University of Portsmouth
For many years, the US company Nvidia shaped the foundations of modern artificial intelligence. Its graphics processing units (GPUs) are a specialised type of computer chip originally designed to handle the processing demands of graphics and animation. But they’re also great for the repetitive calculations required by AI systems.
Dec. 02, 2025 /Mpelembe Media/ — The Sumsub Fraud Report 2025-2026 focuses on the “Sophistication Shift,” which describes the fundamental change in identity fraud from high-volume, basic attempts to fewer, more targeted, and financially damaging AI-enabled operations. This shift is driven primarily by the industrialisation of deception via generative AI, leading to an explosion in deepfakes and highly realistic synthetic identities across all major digital ecosystems. The analysis provides comprehensive regional breakdowns for Europe, Asia-Pacific, Latin America, Africa, and North America, demonstrating that even in markets where overall fraud rates are stabilising, the remaining attacks are significantly more complex and harder to detect. Continue reading
This touches on how large language models (LLMs) operate! tokenization is the fundamental process in natural language processing (NLP) of breaking down raw text into smaller units called tokens, such as words, subwords, or characters. This is a crucial first step that transforms unstructured text into a structured format that machine learning models can process.
Nov. 25, 2025 /Mpelembe Media/ — A multi-million-dollar contract between NATO and Google Cloud for a secure, AI-enabled sovereign cloud solution involves the NATO Communication and Information Agency (NCIA) selecting Google Distributed Cloud (GDC) air-gapped to modernise its infrastructure, specifically supporting the Joint Analysis, Training and Education Centre (JATEC). The purpose of using GDC air-gapped is to ensure uncompromised data residency, operational control, and high security for classified workloads, as this technology operates in completely disconnected environments. Both parties emphasise that this collaboration will significantly accelerate NATO’s digital modernisation efforts and enable the organisation to securely harness advanced AI and cloud capabilities. The Chief Technology Officer of NCIA confirmed that partnering with industry is vital for NATO’s digital transformation, allowing them to create a resilient and scalable cloud environment for highly sensitive data. Continue reading
The is an excerpt from a press release distributed via PR Newswire and the Mpelembe Network, announcing a multi-year strategic collaboration between Vodacom Group and Google Cloud. This partnership is designed to accelerate Vodacom’s digital transformation and significantly advance the use of artificial intelligence (AI) across Africa. Vodacom, a major pan-African telecommunications company, plans to use Google Cloud’s secure, scalable infrastructure and advanced generative AI models, such as Gemini, to unify its data assets and improve operational efficiencies. The core goals of this alliance include achieving real-time data insights, accelerating AI adoption for services like network optimisation and customer care, and developing new, innovative products tailored for the African market, particularly in fintech and enterprise solutions. This agreement builds upon an existing relationship between Vodafone, Vodacom’s parent company, and Google Cloud. Continue reading
Nov. 25, 2025 /Mpelembe Media/ — The document, titled “Accelerating enterprise data migration,” is a Google Cloud resource promoting the migration of corporate data platforms to their cloud environment, primarily using BigQuery and Vertex AI. The central argument is that legacy systems are inadequate for modern AI-driven success, while cloud migration provides substantial benefits like faster insights, cost efficiency, and AI readiness. Multiple case studies from diverse industries, including financial services (PayPal, DBS Bank, Intesa Sanpaolo), logistics (J.B. Hunt), and healthcare (Quest Diagnostics), illustrate how major companies modernised their infrastructure from systems like Teradata, Oracle Exadata, Hadoop, and Snowflake. These examples highlight key migration learnings, such as the importance of FinOps for cost control, strategic data cleanup, and full organizational alignment, demonstrating that Google Cloud offers an AI-enabled migration solution that simplifies and accelerates the transformation process. Continue reading
Nov. 24, 2025 /Mpelembe Media/ — The analysis of the growth and prevalence of AI-generated articles being published on the web clearly indicates that the quantity of articles produced by AI surpassed human-written content in November 2024, a significant trend spurred by the launch of ChatGPT in late 2022. However, the proportion of AI content has recently stabilised and suggests this might be due to AI articles often not performing well in major search engines like Google. The CommonCrawl dataset and the application of an AI detection algorithm has been known for its false positive and negative rates when using articles from before ChatGPT’s release and articles generated by GPT-4o, respectively. Continue reading
Nov. 24, 2025 /Mpelembe Media/ — Google Cloud announced three significant product launches for enterprise customers: Gemini 3, Google Antigravity, and Nano Banana Pro. Gemini 3 is highlighted as a powerful multimodal model capable of understanding complex data, boosting developer productivity through “vibe coding” and agentic capabilities, and providing concise insights for business tasks. The post also introduces Google Antigravity, a new agentic development platform that allows developers to operate at a higher, task-oriented level using Gemini 3’s advanced reasoning. Furthermore, Nano Banana Pro, built on Gemini 3, is presented as a state-of-the-art tool for image generation and editing that enhances creative control, supports localized campaigns, and integrates seamlessly into existing workflows. Continue reading
Nov. 23, 2025 /Mpelembe Media/ — The emerging field of agentic artificial intelligence (AI) has a profound implications for search engine optimisation (SEO) strategies. Agentic AI are systems that can autonomously plan, decide, and execute complex, multi-step tasks, moving beyond the reactive nature of traditional AI tools. Crucially, the text outlines the human-AI agent collaboration model, emphasising that human strategists are still essential for high-level strategy, quality validation, and ethical oversight, operating under a “human in the loop” principle. The article also discusses various practical applications of agentic AI in SEO, such as topic ideation, competitive analysis, and content clustering, while warning against significant challenges like data quality issues, hallucination risk, and over-reliance on automation. Ultimately, the source suggests that the future of SEO lies in leveraging agentic systems to gain a competitive advantage through smarter, more adaptive workflows. Continue reading
Nov. 23, 2025 /Mpelembe Media/ — ExperienceBypass™, an advisory firm, announced their new report titled “The Real AI Bubble.” This report, authored by CEO Honorio J. Padron, warns that the AI market faces a structural collapse, arguing the actual bubble is architectural, not financial. The core thesis is that tens of thousands of smaller AI point solution companies will disappear over the next 36 to 48 months as global enterprises consolidate their technology around a few AI Native Platforms (or “AI Factories”) such as NVIDIA and Palantir. This consolidation is driven by the failure of most enterprise AI pilots and a demand for unified architecture, mirroring the standardisation seen in the ERP sector during the 1990s. Padron asserts that non-integrated point solutions lack a place as the AI Enabled Enterprise™ becomes the new operating model, acting as the central nervous system for modern businesses. Continue reading