TECH AND SCIENCE CONTENT BELOG.

 

 ECG  1. Normal Sinus Rhythm  • Rate: 60–100 bpm  • Rhythm: Regular  • P waves: Present, one before each QRS  • QRS: Normal width  • Interpretation: This is the baseline healthy heart rhythm. ⸻ 2. Sinus Bradycardia  • Rate: <60 bpm  • Rhythm: Regular  • P waves: Present, one before each QRS  • QRS: Normal  • Interpretation: Normal in athletes or during sleep; may need treatment if symptomatic. ⸻ 3. Sinus Tachycardia  • Rate: >100 bpm  • Rhythm: Regular  • P waves: Present  • QRS: Normal  • Interpretation: Can be due to exercise, fever, pain, or shock. ⸻ 4. Atrial Fibrillation (AFib)  • Rate: Variable  • Rhythm: Irregularly irregular  • P waves: Absent (replaced by fibrillatory waves)  • QRS: Normal  • Interpretation: Risk of stroke due to atrial clot formation; may need anticoagulation. ⸻ 5. Atrial Flutter  • Rate: Atrial rate ~250–350 bpm  • Rhythm: Regular or i...

 

 

 

 BY microsoft Episode 1: Introduction to Generative AI and LLMs – Carlotta Castelluccio introduces Generative AI and large language models, explaining their inner workings and how they are revolutionizing industries (with a focus on education)​ https://learn.microsoft.com/en-us/shows/generative-ai-for-beginners/introduction-to-generative-ai-and-llms-generative-ai-for-beginners

 

 

 Top 30 Tech Skills in Demand You Need to Know:  (If you want to remain competitive) 1. Artificial Intelligence (AI) Development 2. Machine Learning (ML) 3. Data Science & Analytics 4. Natural Language Processing (NLP) 5. Computer Vision 6. Full-Stack Development (e.g., MERN, MEAN) 7. Cloud-Native Application Development 8. DevOps Engineering 9. Low-Code/No-Code Development 10. Progressive Web Apps (PWA) 11. Cybersecurity & Ethical Hacking 12. Cloud Security (AWS, Azure, GCP) 13. IT Governance & Compliance (e.g., GDPR, HIPAA) 14. Network Security & Architecture 15. Digital Forensics & Incident Response 16. Cloud Computing (AWS, Azure, Google Cloud) 17. Containerization (Docker & Kubernetes) 18. Infrastructure as Code (e.g., Terraform, Ansible) 19. Edge Computing 20. Site Reliability Engineering (SRE) 21. Product Management (Agile, Scrum) 22. UI/UX Design 23. Design Thinking 24. Technical Project Management (e.g., Jira, Asana) 25. Business Intelligence T...

 

 Free 'Skills' Courses a.  Learn copywriting 1. youtu.be/Pum2gV7N_9A 2. youtu.be/9qZcT9I8W4g 3. youtu.be/B13gAAcqrAc 4. youtu.be/UfCgUv8-HlI 5. youtu.be/LU4gHGdYDI0 b. Learn photography 1. youtu.be/yhAmMUi2NmM 2. youtu.be/LxO-6rlihSg 3. youtu.be/V7z7BAZdt2M c. Learn video editing 1. youtu.be/y7Ci_H9bYEk 2. youtu.be/oC3gXr1s_aU 3. youtu.be/ZQDGJn89uNk 4. youtu.be/MqwlW76sFCM d. Learn to proofread 1. youtu.be/Up3WZJn4OpQ 2. youtu.be/sNbi3h7Ucr0 3. youtu.be/pYb7p0DiVMI 4. youtu.be/14pgya2Xl8o e. Learn transcription 1. youtu.be/bltDLL6-CbQ f. Learn public speaking 1. youtu.be/i5mYphUoOCs 2. youtu.be/dHAbmoFHqgA 3. youtu.be/7tzentBmmUc 4. youtu.be/k8GvTgWtR7o g. Learn digital marketing 1. youtu.be/hiEb1m7CXH4 2. youtu.be/BjRmz6rO9SQ g. Learn digital marketing 1. youtu.be/hiEb1m7CXH4 2. youtu.be/BjRmz6rO9SQ h. Learn web development 1. youtu.be/Q33KBiDriJY  2. youtu.be/zAfLvFHKUS0 I. Learn graphic designing 1. youtu.be/9QTCvayLhCA 2. youtu.be/k0EyAs9Q4NI j. Learn game developmen...

 Write a literature review  with the FREE AI Tool #Bohrium  Access the tool here  http://bohrium.com/ #aitools #AIToolsforResearcher #LiteratureReview

 AI Chatbots & Virtual Assistants  1. ChatGPT – Conversational AI for writing, coding, and general queries.  2. Google Gemini – Multimodal assistant integrated with Google services.  3. Microsoft Copilot – AI assistant integrated with Microsoft 365 tools.  4. Claude – Conversational AI known for nuanced responses.  5. Perplexity AI – AI-powered search engine providing cited answers.  6. Replika – AI companion for emotional support and conversation.  7. Youper – AI chatbot for mental health and self-improvement.  8. Socratic by Google – AI tutor assisting with homework questions.  9. Otter.ai – Real-time transcription and meeting notes generator.  10. Fireflies.ai – AI assistant for recording and summarizing meetings.

   By Analytics Vidhya

 Stop believing you can't land a remote job because you are not a U.S. citizen  Here are 30 sites to land a remote job that pays in USD worldwide: People Are Getting Paid in Dollars.Tap into 30 remote job websites and start cashing in. 1. Upwork – A massive freelance marketplace for writers, designers, developers, marketers, and more. https://www.upwork.com 2. Fiverr – Sell microservices starting at $5. Great for creatives, voiceovers, writing, and marketing. https://www.fiverr.com 3. Toptal – Premium platform for top freelancers in tech, design, and finance. Rigorously vetted. https://www.toptal.com 4. FlexJobs – Curated, scam-free listings of remote and flexible jobs across all industries. https://www.flexjobs.com 5. We Work Remotely – High-quality remote job board for devs, marketers, writers, and customer support. https://weworkremotely.com 6. Remote OK – Remote job listings for tech, design, marketing, and customer success. https://remoteok.com 7. PeoplePerHour – Connects...

 

 Check out this free course. https://www.freecodecamp.org/news/how-to-integrate-tailwind-with-django/?fbclid=IwY2xjawJmgCVleHRuA2FlbQIxMQABHqaUmfPqILmQue57NLjx3ttS_wAN9rcozGeceRy9RQV6byl2gKaZmGYGibVe_aem_2oq9dxEOdFVRwrGZyD5J4w

 🚨NEW: Awesome https://github.com/business-science/awesome-generative-ai-data-scientist Generative AI Data Scientist GitHub Repo  LangGraph Ecosystem: 1. Prebuilt Agents 2. AI Data Science Agents 3. LangMem 4. LangGraph Supervisor 5. Open Deep Research 6. LangGraph Reflection 7. LangGraph Big Tool 8. LangGraph CodeAct 9. LangGraph Swarm 10. LangGraph MCP Adapters Get it here: 100% Free on Github:  

 

 

 The difference between X-Ray, CT-Scan and MRI 1/ X-Ray ( X-Ray ) Used for routine check ups Fast and inexpensive The most common and widely available Produces a 2D image (2D) Used to detect fractures pneumonia and some cancerous tumors It has a small radiation ratio 2/ CT Scan More accurate than a X-ray produce a 3D image (3D) Used for the diagnosis of diseases in the tissue and bone organs Take photos with 360 degree angle More holistic than an X-ray Radiation percentage is much higher than x-ray 3/ MRI ( MRI ) Most accurate in some cases It produces a 3D image (3D) Used in cases related to the spine, the brain, muscles and abdomen Depends on strong magnet and radio waves in photography it does not contain radiation Costly and time consuming during filming. 4/ Difference between MRI and (PET-Scan) The tablet is used to measure metabolic processes in the body after injecting a radioactive substance It is used to detect cancers and their spread Helps to evaluate the effectiveness o...

 A Computer Science degree is not meant to teach you HTML, CSS, or how to write React components—these are things an average 14-year-old can learn from YouTube or a coding bootcamp. You didn’t score an A to be taught HTML or React. The purpose of a CS degree is to introduce students to the fundamental principles of computing, algorithms, data structures, and programming paradigms, often through languages like C or C++. These languages enforce an understanding of memory management, efficiency, and problem-solving—skills that apply universally across all programming disciplines. Universities are not training grounds for specific frameworks or tools that change every few years; they are meant to shape problem-solvers who can adapt to any technology. If you went to university expecting to be taught React or Vue, you misunderstood the purpose of a CS degree.  Those are things you pick up along the way, but the real value of your education is in mastering the science behind computin...

 🚨NEW: Awesome Generative AI Data Scientist GitHub Repo  Data Science and Analytics AI Agents: 1. AI Data Science Team 2. PandasAI 3. Microsoft Data Formulator 4. Jupyter Agent 5. Jupyter AI 6. WrenAI 7. Google GenAI Toolbox 8. Vanna AI Click here to get all 150+ free resources (Free on GitHub): https://github.com/business-science/awesome-generative-ai-data-scientist P.S. Every data analyst, data scientist, and data engineer needs to learn Generative AI 99% of them are overlooking AI. This is a massive opportunity for you. 

 

 20 websites to download research projects/thesis. Download, read, learn and cite👇 1. Open Access Theses and Dissertations (OATD) - https://oatd.org/ 2. ProQuest Open Access Dissertations & Theses - https://pqdtopen.proquest.com/ 3. Networked Digital Library of Theses and Dissertations (NDLTD) - http://www.ndltd.org/ 4. DART-Europe E-theses Portal - https://www.dart-europe.org/ 5. EThOS (British Library) - https://ethos.bl.uk/ 6. MIT Theses - https://dspace.mit.edu/handle/1721.1/7582 7. OpenThesis - http://www.openthesis.org/ 8. OhioLINK Electronic Theses and Dissertations Center - https://etd.ohiolink.edu/ 9. CaltechTHESIS - https://thesis.library.caltech.edu/ 10. Harvard DASH - https://dash.harvard.edu/ 11. University of Michigan Deep Blue - https://deepblue.lib.umich.edu/ 12. University of Florida Institutional Repository - https://ufdc.ufl.edu/ufir 13. KU ScholarWorks (University of Kansas) - https://kuscholarworks.ku.edu/ 14. Adelaide Research & Scholarship - https://...

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 Every developer you admire started with nothing. No GitHub profile. No experience. No reputation. Just curiosity and the decision to keep going. Some built tools no one asked for. Some spent nights debugging problems no one else could solve. Some kept learning when it would've been easier to settle. But none of them waited to be chosen. They chose themselves. The breakthrough didn't come after they became "good enough." It came because they showed up before they felt ready. You don't need someone to validate your skills. You need to start building with what you have. In tech, you don't get ahead by waiting. You get ahead by doing.

 Step 1: Access Google Studio - Go to Google Studio - ⁠Click on stream - ⁠Select Share Screen Link: https://aistudio.google.com/ Step 2: Share your Screen - Click on Share Screen  - ⁠Select Chrome tab, Window or entire screen  - ⁠It is like letting an Ai join an online meet session. Step 3: Start asking questions - Ask any question about what it sees on your screen and it will direct you step-by-step.  There has never been a better to learn anything 🙀. Pro tip: It’s Free Doesn’t work on Phones

 

 

 

  Linux course

 Grid vs Flexbox: Which One Should You Use?  (If you’re still struggling with CSS layout, this is for you.) Let me make it simple Flexbox = one direction. Grid = two directions. That’s the core difference.  Use Flexbox when: ✅ You’re aligning items in a row or a column ✅ You need to center stuff ✅ You’re building a navbar, a form, a button group, or a login card layout Flexbox = “I want things to line up cleanly on a single axis.”  Use Grid when: ✅ You’re building full-page layouts ✅ You want to create complex structures with rows AND columns ✅ You need total control over placement (like dashboards, cards, galleries, etc.) Grid = “I’m the architect. I design the structure first, then place content into it.” Real-World Breakdown: Your navbar? Flexbox. Your dashboard with widgets in rows and columns? Grid. A card with an image and text side by side? Flexbox. A responsive blog layout with multiple sections? Grid. Pro tip: Most pros use both, Grid for layout, Flexbox for...

 

 

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 Generative AI project structure

 Types Of Computer Ports  #laptop #computer #postviralシ  Ten Unknown Facts About #BMW 1. Founding and History: BMW, Bayerische Motoren Werke AG, was founded in 1916 in Munich, Germany, initially producing aircraft engines. The company transitioned to motorcycle production in the 1920s and eventually to automobiles in the 1930s. 2. Iconic Logo: The BMW logo, often referred to as the "roundel," consists of a black ring intersecting with four quadrants of blue and white. It represents the company's origins in aviation, with the blue and white symbolizing a spinning propeller against a clear blue sky. 3. Innovation in Technology: BMW is renowned for its innovations in automotive technology. It introduced the world's first electric car, the BMW i3, in 2013, and has been a leader in developing advanced driving assistance systems (ADAS) and hybrid powertrains. 4. Performance and Motorsport Heritage: BMW has a strong heritage in motorsport, particularly in touring car and For...

 

 🚀 5 Techniques to Fine-Tune Large Language Models (LLMs) 🚀 With the rise of large language models (LLMs), fine-tuning for specific tasks has become more important than ever. But how can we do it efficiently without compromising performance? 🤔 Here are 5 advanced techniques that can help: 1. LoRA (Low-Rank Adaptation) - LoRA reduces the number of trainable parameters by adding low-rank adaptation matrices, making fine-tuning faster and more memory-efficient. 2. LoRA-FA (LoRA with Feature Augmentation) - This method combines LoRA with external feature augmentation, injecting task-specific features to further boost performance with minimal overhead. 3. Vera (Virtual Embedding Regularization Adaptation) - Vera helps regularize model embeddings during fine-tuning, preventing overfitting and improving generalization across different domains. 4. Delta LoRA - An extension of LoRA, this approach focuses on updating only the most significant layers, reducing computational costs while ret...

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 I analyzed 20 popular AI use cases in healthcare from early-stage “on the horizon” innovations to “safe bets” that are already backed by strong evidence.  I visualized them on two scales: little evidence to evidence-based and low risk to high risk. This yielded four groups: 1) Speculative and risky (little evidence, high risk) 2) On the horizon (little evidence, low risk) 3) Handle with care (evidence-based, high risk) 4) Safe bet (evidence-based, low risk) I hope this infographic helps clarify the path ahead: which solutions demand more research and caution (autonomous AI prescribing, mental health chatbots), and which are ready for prime time (AI-powered clinical documentation, radiology analysis, ECG interpretation). I'm curious to hear what you see significantly differently! #medical future AI 

 LoRA Adapters are, to me, one of the smartest strategies used in Machine Learning in recent years! It is one of those things where I think, "Wait! How didn't we think about that before?" LoRA adapters came as a very natural strategy for fine-tuning models. The idea is to realize that any matrix of model parameters in a neural network of a trained model is just a sum of the initial values and the following gradient descent updates learned on the training data mini-batches: 𝜃(trained model) = 𝜃(initial value) + gradient descent updates From there, we can understand a fine-tuned model as a set of model parameters where we continued to aggregate the gradients further on some specialized dataset: 𝜃(fine-tuned) = 𝜃(trained model) + more gradient descent updates When we realize that we can decompose the pretraining learning and the fine-tuning learning into those 2 terms: 𝜃(fine-tuned) = 𝜃(trained model) + ΔW then we understand that we don't need that decomposition to...

 I share a lot of useful websites every day. But these 5 will change your world!  1. Find free Wifi anywhere in the world: Wifimap 2. Turn any idea, URL, or audio file into a viral video: Syllaby 3. Build AI workflow automations for anything online: N8n 4. Find business leads in any industry: Clay 5. Build your dream websites by talking with AI: Readdy

 Wifi is FREE ChatGPT is FREE (𝗪𝗿𝗶𝘁𝗶𝗻𝗴 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻) CapCut is FREE (𝗩𝗶𝗱𝗲𝗼 𝗘𝗱𝗶𝘁𝗶𝗻𝗴) Ideogram is FREE (𝗜𝗺𝗮𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻) Perplexity is FREE (𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵) Gamma is FREE (𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀) Notion is FREE (𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 & 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻) Mubert is FREE (𝗠𝘂𝘀𝗶𝗰 & 𝗕𝗚𝗠) No budget? No excuse.