Posts

AI in Science: Reclaiming Discovery

The goal of AI in science isn’t to make researchers lazy—it’s to liberate them from the tyranny of the trivial. By automating the mechanical, we reclaim space for the magical: curiosity, insight, and discovery. As one computational biologist put it: “Let the machine count the trees. We’ll map the forest.” 1. Definition & Scope Core Idea : The phrase “we don’t need to be right to write” challenges the traditional view that scientific writing must emerge fully formed from deep, error-free reasoning. Instead, it reframes writing as a generative, iterative, and exploratory tool —one that can be delegated, scaffolded, or accelerated by artificial intelligence (AI), particularly large language models (LLMs), to free human researchers for higher-order cognitive work. Key Terms : “Donkey-work” : Repetitive, time-consuming, low-cognitive-load tasks (e.g., formatting references, drafting boilerplate text, transcribing notes, organizing datasets). Large Language Models (LLMs) : AI systems (e...
Post a Comment
Read more

Notebook LM review of the recently publised Libya's Renewable Energy Program 2025 - 2040

Image
I asked Notebook LM to review and check the recently published document for any inconsistencies, issues, or information gaps, and here is what it came back with: The sources provide extensive detail regarding the context, methodology, and challenges encountered during the preparation of the "National Program for Renewable Energies and Energy Efficiency (2025–2040)," which allows for a comprehensive assessment of the issues, inconsistencies, and missing information. Issues, Inconsistencies, and Missing Information in the Document The sources reveal several critical issues, technical inconsistencies, and information gaps related to the energy sector's current status and the structure of the proposed program: 1. Fundamental Sectoral Issues and Challenges The program was initiated in response to numerous severe national challenges facing the energy sector: Excessive Reliance on Fossil Fuels The electricity generation system relies almost entirely on fossil fuels, leadi...
Post a Comment
Read more

Analysis of Structural Health Monitoring Systems: From Theory to Practice - Full Dissertation Document

  Author:  Salam Jaroshi   Download:  Salam Jaroshi Discipline: Engineering, Civil Engineering, Aerospace Engineering, Mechanical Engineering, Environmental Engineering Type: Dissertation/Thesis Year: 2014 Institution: [Your University Name] Advisor:  Prof. Dr. Paul Bar – Head of CEE Department – Professor of Civil and Environmental Engineering, Prof. Dr. William Dussete – Professor of Information Management Systems, Dr. Kenny Sundanburg – Professor of Structural Engineering, Prof. Dr. Martin Hallwing – Professor of Structural Engineering, Prof. Dr. Mang Fing – Research Professor of Artificial Intelligence and Robotics, Dr. Idilas Villanzueva – Professor of Engineering Education, Dr. Vicky Alan – Research Professor of Machine Learning and Electronic Education Systems 
Post a Comment
Read more

The PMI-Agile Merger: A Threat to Project Management Diversity

Image
By: Salam Jaroshi December 31, 2024, marked a turning point in the project management world—the Agile Alliance officially merged with PMI, forming the PMI Agile Alliance . While some celebrate this as progress, I see it as a dangerous consolidation of power that will erode the very essence of Agile and stifle innovation in project management.
Post a Comment
Read more

Bridging the Skills Gap: The Critical Role of TVET in the Digital Age

Image
  Introduction In an era dominated by artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and the Fourth Industrial Revolution (4IR), traditional education systems are increasingly seen as obsolete. These systems, rooted in outdated methodologies, often fail to prepare students for the dynamic demands of modern industries. This is where Technical and Vocational Education and Training (TVET) steps in, offering a more practical, skill-oriented approach that aligns closely with the needs of today's workforce. Why TVET Matters in the Age of AI, ML, and IoT TVET programs focus on equipping learners with hands-on skills and real-world experience, making them more adaptable to the rapidly changing technological landscape. As industries evolve, so too must our educational paradigms. TVET bridges the gap between theoretical knowledge and practical application, ensuring that graduates are not only educated but also employable. Case Studies Singapore's SkillsFut...
Post a Comment
Read more

The AI Showdown: DeepSeek, ChatGPT, and Gemini

Image
In a bid to understand the nuances of the AI landscape, I recently tasked three prominent AI models – DeepSeek, ChatGPT, and Gemini – with the challenging task of creating a comparative analysis of themselves. The results were fascinating, offering unique perspectives from each model on their strengths, weaknesses, and suitability for different applications. This blog entry delves into their self-assessments, highlighting key takeaways for professionals like myself who are navigating the ever-evolving world of artificial intelligence. DeepSeek: Key Takeaways from DeepSeek: DeepSeek is ideal for data-driven tasks and technical research , making it a great fit for smart city optimization and process engineering. ChatGPT is your go-to for content creation , training materials , and project management templates , especially for non-technical audiences. Gemini shines in multimodal tasks , such as coding, design, and advanced AI research, which aligns with your work in AI prompt engineer...
Post a Comment
Read more

Practical Guidelines for Designing Energy Systems for Smart Cities

Image
 The transition to renewable energy in smart cities is not just a trend—it’s a necessity for sustainable urban development. Below is a comprehensive, step-by-step guide to help cities design and implement energy systems that are efficient, scalable, and future-ready. 1. Start Small, Scale Gradually Why: Starting with smaller, manageable projects allows cities to test technologies, build expertise, and gain public support before scaling up. How: Pilot Projects: Begin with solar-powered streetlights, smart meters, or small-scale solar farms. Modular Systems: Use modular energy systems that can be expanded as demand grows. Community Engagement: Involve local communities in pilot projects to build trust and awareness. Example: Barcelona, Spain: Started with solar-powered bus stops and expanded to city-wide solar energy integration. 2. Invest in Research and Innovation Why: Emerging technologies like AI, IoT, and advanced energy storage are critical for making renewable e...
Post a Comment
Read more