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/ — This phrase, “There is a thin line between genius and insanity,” is a compelling and long-standing stereotype that suggests a close connection between exceptional creativity and mental illness.
While it’s a popular idea, modern research indicates that it’s an oversimplification. There isn’t a single “thin line,” but rather a complex, non-linear relationship where certain traits and genetic factors are sometimes shared between highly creative individuals and those with specific mood disorders. Continue reading
Nov. 25, 2025 /Mpelembe Media/ — The provided text details the inauguration of the “Genesis Mission”, a significant artificial intelligence (AI) initiative launched through an executive order signed by President Donald Trump in November 2025. This federal effort is aimed at dramatically accelerating American AI research, development, and application, particularly in scientific fields, and has been compared to the historical Manhattan Project in its urgency and ambition. The mission intends to leverage vast federal datasets and expand computational resources to create sophisticated AI models, with goals including strengthening national security and accelerating scientific discovery. This initiative builds upon existing frameworks like the National Artificial Intelligence Research Resource (NAIRR) and involves partnerships with key figures and agencies, such as the Department of Energy, to establish essential infrastructure like the “American Science and Security Platform.” Continue reading
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
The core information from DataM Intelligence indicates that the market was valued at USD 13.22 billion in 2024 and is projected to double to USD 28.10 billion by 2033 due to advancements in precision medicine, hormonal therapies, and targeted radioligands. Segmentation analysis breaks down the market by therapy type, dominated by hormonal therapy (57% share), as well as by administration route (mostly oral) and distribution channel (led by hospital pharmacies). Furthermore, the report highlights key growth drivers like rising global incidence and provides competitive analysis, naming major players such as Novartis AG and Johnson & Johnson, and discusses regional revenue leadership by the United States. Continue reading →
The upcoming keynote address at CES 2026 by Siemens AG President and CEO, Roland Busch is scheduled to present on AI-powered industrial technologies that will significantly transform sectors like manufacturing, infrastructure, and transportation. The Consumer Technology Association (CTA), the organiser of CES, praises Siemens’ leadership in applying Artificial Intelligence (AI) and digital twin technology to industrial environments. The release highlights Siemens’ role as a global leader in industrial AI, detailing how the company is leveraging its expertise and data to scale these innovations for societal and industrial benefit. The keynote will take place on Tuesday, January 6, 2026, and Siemens will also have an exhibition booth and a mobile experience centre at the event. 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