Tag Archives: Computational neuroscience

25Nov/25

Trump Launches Genesis Mission AI Initiative

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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 →

24Nov/25

AI Articles Surpass Human Output on the Web

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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 →

23Nov/25

Structural Collapse and Consolidation of Enterprise AI Architecture

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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 →

23Nov/25

Artificial Intelligence Market Outlook 2033: Grand View Research

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This is a market research report from Grand View Research whose primary focus  is the global artificial intelligence (AI) market, projecting that it will reach $3.5 trillion by 2033, driven by a 31.5% annual growth rate. The document details key market drivers, such as the integration of AI into consumer wearables and advances in deep learning technology, while also segmenting the market by solutions, technologies, functions, end-use (with healthcare and the Asia Pacific region leading in 2024), and region. The report also includes supplementary information from Grand View Research on related AI markets, such as mobile AI and automotive AI. Continue reading

21Nov/25

Is AI eating Crypto’s Lunch?

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Nov. 21, 2025 /Mpelembe Media/ — That phrase, “AI is eating crypto’s lunch,” generally refers to the current trend where Artificial Intelligence (AI) development and related companies are attracting significantly more investor capital and attention than the cryptocurrency and blockchain sectors.

However, the reality is more nuanced than a zero-sum competition, and both areas are also seeing convergence. Continue reading →

19Nov/25

Workday Expands Ecosystem with Google BigQuery and Developer Network

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Workday is expanding its open ecosystem through two key initiatives: the introduction of a new global developer network aimed at training future AI talent via certifications and hands-on experience, and a strategic partnership with Google BigQuery to offer customers secure, zero-copy access to Workday HR and finance data for advanced AI-powered insights. Furthermore, the company highlights its planned acquisition of Pipedream, an integration platform, which will enhance Workday’s AI agent capabilities by securely connecting its data with thousands of external systems. Interspersed within the document are unrelated website navigational elements and advertisements for items such as children’s beds and business broadband. Continue reading

17Nov/25

Attention Sharing: AI Distraction Detection for Commercial Fleets

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 Seeing Machines Limited, an Australian company specialising in computer vision technology for transport safety announced launch of its “attention sharing” feature for the Guardian Generation 3 safety solution, which is marketed to commercial vehicle fleets globally. This world-first feature tracks the cumulative time a driver spends with their eyes off the road, detecting repeated, short glances—a major contributor to crash risk—that other systems often miss. The AI-powered technology continuously monitors eye gaze direction in real time to provide accurate distraction detection and subsequent intervention before safety is compromised. The announcement highlights that the feature is being deployed over-the-air to existing Guardian Gen 3 systems and includes references to supporting scientific studies on driver inattention. Continue reading

06Nov/25

Performativ Unveils Compliant AI Agents for Financial Institutions

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Performativ, a technology company, announced the launch of two new offerings: Custom Agents and the AgentKit Builder. These new capabilities are specifically designed to help financial institutions (such as banks and asset managers) safely and compliantly integrate artificial intelligence (AI) agents into their core operations and existing enterprise infrastructure. The solution is built to meet stringent regulatory oversight requirements, including those similar to the European AI Act, by ensuring all agent actions are logged, auditable, permissioned, and have traceability for regulatory review, thus transitioning enterprises from AI experimentation to secure, governed deployment. Continue reading

04Nov/25

NotebookLM: AI-Driven Knowledge Management and Learning Tool

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Nov. 3, 2025 /Mpelembe Media/ — NotebookLM is an AI-powered tool designed to accelerate learning and knowledge sharing by generating insights based on a user’s uploaded sources. This tool allows users to upload documents like lecture notes or strategy plans, after which NotebookLM can answer questions, generate summaries, and create study materials such as quizzes, with all responses including in-line citations linking back to the original source material for accuracy. Continue reading →