• Episode 258 | Rehan Foundation Interview Series

    In this episode, we are joined by Victor Bassey, popularly known as The Maths Therapist. He is a passionate mathematician dedicated to helping students overcome math anxiety and truly understand concepts rather than simply memorize formulas. Beyond education, he is also a cybersecurity analyst and social media strategist, empowering individuals through digital safety and strategic online growth.

    In this conversation, we explore the roots of math anxiety, practical strategies for building true conceptual understanding, the importance of digital security in today’s world, and how individuals can position themselves effectively online.

    This discussion highlights practical insights, mindset shifts, and real-world lessons on education, cybersecurity awareness, and building a strong digital presence.

    This interview is part of the Rehan Foundation Interview Series.
    Episode #258
    Foreigner Episode #08

    #RehanFoundation #Education #MathsTherapist #DigitalSecurity #OnlineGrowth #Abrar #ConnectedPakistan #Learning

    Rehan Allahwala
    Doulat EducationWala
    Mohsin Rathore Seo Wala
    Imran Khan Street Wala
    Jai Parkash EducationWala
    Rahat CounsellingWali
    Iqra FreelancingWali
    🎬 Episode 258 | Rehan Foundation Interview Series In this episode, we are joined by Victor Bassey, popularly known as The Maths Therapist. He is a passionate mathematician dedicated to helping students overcome math anxiety and truly understand concepts rather than simply memorize formulas. Beyond education, he is also a cybersecurity analyst and social media strategist, empowering individuals through digital safety and strategic online growth. In this conversation, we explore the roots of math anxiety, practical strategies for building true conceptual understanding, the importance of digital security in today’s world, and how individuals can position themselves effectively online. This discussion highlights practical insights, mindset shifts, and real-world lessons on education, cybersecurity awareness, and building a strong digital presence. This interview is part of the Rehan Foundation Interview Series. Episode #258 Foreigner Episode #08 #RehanFoundation #Education #MathsTherapist #DigitalSecurity #OnlineGrowth #Abrar #ConnectedPakistan #Learning Rehan Allahwala Doulat EducationWala Mohsin Rathore Seo Wala Imran Khan Street Wala Jai Parkash EducationWala Rahat CounsellingWali Iqra FreelancingWali
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  • Alhamdo Lillah, I’ve completed my 100 MOOCs today. I wanted to compare it with the 100 courses that I’ve taken during my Bachelor, Masters and PhD in Computer Science. The traditional route of diploma/degree took me 12 years and costs $291,000 (tuition fee alone). The MOOCs route costs $9,300 and 4 years only. I’ve taken courses from Coursera, Udacity, Udemy, Lynda, MasterClass, UNIC, eDX, Harvard, DataCamp, Big Data University, YouTube, Hamilton Booz Allen, IBM, Experfy, SimpliLearn and GetSmarter. The cheapest was for Free and the most expensive was for $2,800. The Best Course was from Professor Daniel Chamovitz (What a Plant Knows) of Tel Aviv University. I’ve taken courses from Data Science to Medieval Magic and from Quran to Fashion Design, from Writing to Deep Learning and from Blockchain to Genomics. My 12 years of traditional learning landed me a job of assistant professor at GIKI for $810/month and my MOOCs have prepared me for a CTO job in the US for $20,000/month. Thanks God I am homeschooling my kids. I will be writing a detailed paper on my findings after Eid. Here is the list for you guys to enjoy and learn

    1 Big Data Integration and Processing
    2 Machine Learning with Big Data
    3 Graph Analytics for Big Data
    4 Magic in the middle Ages
    5 Introduction to Big Data
    6 Big Data Modeling and Management Systems
    7 Genomic Data Science with Galaxy
    8 Introduction to Genomic Technologies
    9 Capstone: Create Value from Open Data
    10 Executive Data Science Capstone
    11 Case studies in business analytics with ACCENTURE
    12 Foundations of marketing analytics
    13 People Analytics
    14 What a Plant Knows
    15 Foundations of strategic business analytics
    16 Operations Analytics
    17 A Crash Course in Data Science
    18 Building a Data Science Team
    19 Customer Analytics
    20 Data Science in Real Life
    21 Managing Data Analysis
    22 AWS Certified Solution
    23 Big Data Analysis - Demos
    24 Data Visualization in R with ggvis
    25 The Analytics Edge
    26 Data Manipulation in R with dplyr
    27 Understanding Terrorism and the Terrorist Threat
    28 Geospatial Intelligence & the Geospatial Revolution
    29 Beyond Silicon Valley: Growing Entrepreneurship in Transitioning Economies
    30 Data Science Capstone
    31 Social Entrepreneurship
    32 Tackling the Challenges of Big Data
    33 Developing Data Products
    34 Practical Machine Learning
    35 Regression Models
    36 Reproducible Research
    37 Statistical Inference
    38 Exploratory Data Analysis
    39 Getting and Cleaning Data
    40 R Programming
    41 Data Sciences Toolbox
    42 Big Data Fundamentals
    43 Big Data Analysis with Revolution R Enterprise
    44 Explore Data Science Specialization
    45 Calling Bullshit
    46 Python for Genomic Data Science
    47 Big Data - Capstone Project
    48 Intellectual Humility: Theory
    49 Intellectual Humility: Science
    50 Intellectual Humility: Practise
    51 Importance of India
    52 Bitcoin and Cryptocurrency Technologies
    53 Homeland Security & Cybersecurity Connection - Its Not About the Terrorists
    54 Introduction to Personal Branding
    55 Neural Networks and Deep Learning
    56 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    57 Structuring Machine Learning Projects
    58 Effective Altruism
    59 SAS Enterprise Miner
    60 SAS Analytics
    61 Creative Writing
    62 Introduction to Digital Currencies
    63 Introduction to Self Driving Cars - NanoDegree
    64 Google Adwords - NanoDegree
    65 Strategic Business Analytics Specialization
    66 Executive Data Science Specialization
    67 Accounting Analytics
    68 The Data Scientist’s Toolbox
    69 IBM Blockchain Essentials
    70 Blockchain for Finance Professionals
    71 IBM Blockchain Foundation Developer
    72 Data Science
    73 Big Data
    74 Fashion Design
    75 BlockChain
    76 Money and Banking
    77 Blockchain
    78 Principles of Disruptive Innovation
    79 Working on a Cross-Functional Team
    80 Succession Planning
    81 Selling into Companies
    82 Rewarding Employees
    83 Performance Review Foundations
    84 Onboarding New Hires
    85 New Manager Foundations
    86 Managing for Results
    87 Managing Team Conflict
    88 Learning Python
    89 Learning Bitcoin
    90 Leading Productive Meetings
    91 Hiring Your Team
    92 Facilitation Skills for Managers and Leaders
    93 Digital Currencies in Developing World
    94 Delegating Tasks to Your Team
    95 Building a Recommendation System with Python Machine Learning & AI
    96 Building Accountability into Your Culture
    97 Blockchain: Basics
    98 Blockchain: Beyond the Basics
    99 Blockchain & Cryptocurrency
    100 Writing

    Via Zeeshan-ul-hassan Usmani
    Alhamdo Lillah, I’ve completed my 100 MOOCs today. I wanted to compare it with the 100 courses that I’ve taken during my Bachelor, Masters and PhD in Computer Science. The traditional route of diploma/degree took me 12 years and costs $291,000 (tuition fee alone). The MOOCs route costs $9,300 and 4 years only. I’ve taken courses from Coursera, Udacity, Udemy, Lynda, MasterClass, UNIC, eDX, Harvard, DataCamp, Big Data University, YouTube, Hamilton Booz Allen, IBM, Experfy, SimpliLearn and GetSmarter. The cheapest was for Free and the most expensive was for $2,800. The Best Course was from Professor Daniel Chamovitz (What a Plant Knows) of Tel Aviv University. I’ve taken courses from Data Science to Medieval Magic and from Quran to Fashion Design, from Writing to Deep Learning and from Blockchain to Genomics. My 12 years of traditional learning landed me a job of assistant professor at GIKI for $810/month and my MOOCs have prepared me for a CTO job in the US for $20,000/month. Thanks God I am homeschooling my kids. I will be writing a detailed paper on my findings after Eid. Here is the list for you guys to enjoy and learn 1 Big Data Integration and Processing 2 Machine Learning with Big Data 3 Graph Analytics for Big Data 4 Magic in the middle Ages 5 Introduction to Big Data 6 Big Data Modeling and Management Systems 7 Genomic Data Science with Galaxy 8 Introduction to Genomic Technologies 9 Capstone: Create Value from Open Data 10 Executive Data Science Capstone 11 Case studies in business analytics with ACCENTURE 12 Foundations of marketing analytics 13 People Analytics 14 What a Plant Knows 15 Foundations of strategic business analytics 16 Operations Analytics 17 A Crash Course in Data Science 18 Building a Data Science Team 19 Customer Analytics 20 Data Science in Real Life 21 Managing Data Analysis 22 AWS Certified Solution 23 Big Data Analysis - Demos 24 Data Visualization in R with ggvis 25 The Analytics Edge 26 Data Manipulation in R with dplyr 27 Understanding Terrorism and the Terrorist Threat 28 Geospatial Intelligence & the Geospatial Revolution 29 Beyond Silicon Valley: Growing Entrepreneurship in Transitioning Economies 30 Data Science Capstone 31 Social Entrepreneurship 32 Tackling the Challenges of Big Data 33 Developing Data Products 34 Practical Machine Learning 35 Regression Models 36 Reproducible Research 37 Statistical Inference 38 Exploratory Data Analysis 39 Getting and Cleaning Data 40 R Programming 41 Data Sciences Toolbox 42 Big Data Fundamentals 43 Big Data Analysis with Revolution R Enterprise 44 Explore Data Science Specialization 45 Calling Bullshit 46 Python for Genomic Data Science 47 Big Data - Capstone Project 48 Intellectual Humility: Theory 49 Intellectual Humility: Science 50 Intellectual Humility: Practise 51 Importance of India 52 Bitcoin and Cryptocurrency Technologies 53 Homeland Security & Cybersecurity Connection - It's Not About the Terrorists 54 Introduction to Personal Branding 55 Neural Networks and Deep Learning 56 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 57 Structuring Machine Learning Projects 58 Effective Altruism 59 SAS Enterprise Miner 60 SAS Analytics 61 Creative Writing 62 Introduction to Digital Currencies 63 Introduction to Self Driving Cars - NanoDegree 64 Google Adwords - NanoDegree 65 Strategic Business Analytics Specialization 66 Executive Data Science Specialization 67 Accounting Analytics 68 The Data Scientist’s Toolbox 69 IBM Blockchain Essentials 70 Blockchain for Finance Professionals 71 IBM Blockchain Foundation Developer 72 Data Science 73 Big Data 74 Fashion Design 75 BlockChain 76 Money and Banking 77 Blockchain 78 Principles of Disruptive Innovation 79 Working on a Cross-Functional Team 80 Succession Planning 81 Selling into Companies 82 Rewarding Employees 83 Performance Review Foundations 84 Onboarding New Hires 85 New Manager Foundations 86 Managing for Results 87 Managing Team Conflict 88 Learning Python 89 Learning Bitcoin 90 Leading Productive Meetings 91 Hiring Your Team 92 Facilitation Skills for Managers and Leaders 93 Digital Currencies in Developing World 94 Delegating Tasks to Your Team 95 Building a Recommendation System with Python Machine Learning & AI 96 Building Accountability into Your Culture 97 Blockchain: Basics 98 Blockchain: Beyond the Basics 99 Blockchain & Cryptocurrency 100 Writing Via Zeeshan-ul-hassan Usmani
    0 Commentaires 0 Parts 3064 Vue
  • **Baidu**, one of the largest internet companies in China, is often compared to Google due to its dominance in the Chinese search engine market. The company was founded by **Robin Li** and **Eric Xu** in 2000. Heres the story of Baidu and its founders:

    ### Robin Lis Background:
    - **Robin Li (Li Yanhong)** was born in **1968** in Yangquan, a city in Shanxi Province, China. He grew up in a humble family; his parents were factory workers.
    - Li was a diligent student, excelling in academics. He pursued a **bachelor’s degree in information management** at **Peking University**, one of China’s top universities.
    - In 1991, Li went to the **U.S.** to further his studies and earned a **master’s degree in computer science** from the **State University of New York at Buffalo**.

    ### Early Career:
    - After completing his education in the U.S., Robin Li worked at **IDD Information Services**, a division of Dow Jones, where he developed algorithms for financial information services.
    - During this period, he developed a crucial technology called the **RankDex site-scoring algorithm** in **1996**, a precursor to search engine algorithms like Googles **PageRank**. This was one of the earliest methods of ranking web pages based on keyword relevance and link analysis.
    - His work on RankDex provided Li with deep insights into how search engines should function, and these ideas would later form the foundation of Baidu.

    ### The Birth of Baidu:
    - In **1999**, after working in the U.S. tech industry for several years, Robin Li returned to China, convinced of the enormous potential of the Chinese internet market, which was still in its early stages of growth.
    - Together with **Eric Xu**, a biochemist and internet entrepreneur, Li co-founded **Baidu** in **January 2000** in Beijing. Baidu was designed as a search engine tailored to the Chinese language and market. Initially, Baidu was a business-to-business search service that provided companies with search technology.

    ### Rapid Growth and Success:
    - **Baidu** soon evolved into a full-fledged consumer search engine, quickly gaining traction due to its ability to better handle **Chinese characters** and its superior understanding of the nuances of the language compared to other search engines at the time, including Google.
    - By **2003**, Baidu introduced its **pay-for-performance (P4P)** search model, which allowed advertisers to bid on keywords and secure better placement in search results, similar to Googles AdWords model. This business model became a key revenue driver for Baidu.
    - Baidu grew rapidly and went **public on NASDAQ** in **2005**. Its IPO was one of the most successful in the U.S. at the time, with Baidus shares surging by over 350% on the first day of trading.

    ### Dominance in China:
    - Baidu became the dominant search engine in China, capturing a huge market share in the face of competition from other global companies like Google, which later exited China in 2010 due to disputes over censorship and cybersecurity.
    - Baidu expanded beyond search to offer a wide range of services, including **maps, news, video, and AI-powered voice search**. The company invested heavily in research and development, particularly in **artificial intelligence (AI)** and **autonomous driving technology**.

    ### Baidus Focus on Artificial Intelligence:
    - In recent years, Baidu has shifted its focus from being just a search engine company to a leader in **AI research**. Robin Li sees AI as the future of technology, and Baidu has invested heavily in projects such as **self-driving cars, smart assistants**, and **AI cloud services**.
    - Baidu’s **Apollo platform**, a project focused on autonomous driving, has been one of the company’s most ambitious ventures, collaborating with car manufacturers and tech companies to bring self-driving cars to the market.

    ### Leadership and Challenges:
    - Robin Li continues to lead Baidu as CEO, although the company has faced challenges, including increased competition from other Chinese tech giants like **Tencent** and **Alibaba**, as well as regulatory challenges from the Chinese government.
    - Baidu has also faced hurdles in the mobile internet era, where platforms like **WeChat** (owned by Tencent) and **Alibabas e-commerce platforms** have taken away user attention. Despite this, Baidu has remained a leader in AI development and search technologies in China.

    ### Legacy and Impact:
    - Baidu is now known as one of China’s **"BAT"** companies—Baidu, Alibaba, and Tencent—representing the three biggest tech firms in the country.
    - **Robin Li** is recognized as one of the most influential figures in the tech industry in China, with Baidu playing a crucial role in the development of the internet in the country.

    In summary, Baidu was founded by **Robin Li** and **Eric Xu** in **2000** and quickly became the dominant search engine in China. Robin Lis vision and his expertise in search engine algorithms were key to the companys success. Over time, Baidu expanded into various areas of technology, including artificial intelligence and autonomous driving, positioning itself as a tech leader in the global market.
    **Baidu**, one of the largest internet companies in China, is often compared to Google due to its dominance in the Chinese search engine market. The company was founded by **Robin Li** and **Eric Xu** in 2000. Here's the story of Baidu and its founders: ### Robin Li's Background: - **Robin Li (Li Yanhong)** was born in **1968** in Yangquan, a city in Shanxi Province, China. He grew up in a humble family; his parents were factory workers. - Li was a diligent student, excelling in academics. He pursued a **bachelor’s degree in information management** at **Peking University**, one of China’s top universities. - In 1991, Li went to the **U.S.** to further his studies and earned a **master’s degree in computer science** from the **State University of New York at Buffalo**. ### Early Career: - After completing his education in the U.S., Robin Li worked at **IDD Information Services**, a division of Dow Jones, where he developed algorithms for financial information services. - During this period, he developed a crucial technology called the **RankDex site-scoring algorithm** in **1996**, a precursor to search engine algorithms like Google's **PageRank**. This was one of the earliest methods of ranking web pages based on keyword relevance and link analysis. - His work on RankDex provided Li with deep insights into how search engines should function, and these ideas would later form the foundation of Baidu. ### The Birth of Baidu: - In **1999**, after working in the U.S. tech industry for several years, Robin Li returned to China, convinced of the enormous potential of the Chinese internet market, which was still in its early stages of growth. - Together with **Eric Xu**, a biochemist and internet entrepreneur, Li co-founded **Baidu** in **January 2000** in Beijing. Baidu was designed as a search engine tailored to the Chinese language and market. Initially, Baidu was a business-to-business search service that provided companies with search technology. ### Rapid Growth and Success: - **Baidu** soon evolved into a full-fledged consumer search engine, quickly gaining traction due to its ability to better handle **Chinese characters** and its superior understanding of the nuances of the language compared to other search engines at the time, including Google. - By **2003**, Baidu introduced its **pay-for-performance (P4P)** search model, which allowed advertisers to bid on keywords and secure better placement in search results, similar to Google's AdWords model. This business model became a key revenue driver for Baidu. - Baidu grew rapidly and went **public on NASDAQ** in **2005**. Its IPO was one of the most successful in the U.S. at the time, with Baidu's shares surging by over 350% on the first day of trading. ### Dominance in China: - Baidu became the dominant search engine in China, capturing a huge market share in the face of competition from other global companies like Google, which later exited China in 2010 due to disputes over censorship and cybersecurity. - Baidu expanded beyond search to offer a wide range of services, including **maps, news, video, and AI-powered voice search**. The company invested heavily in research and development, particularly in **artificial intelligence (AI)** and **autonomous driving technology**. ### Baidu's Focus on Artificial Intelligence: - In recent years, Baidu has shifted its focus from being just a search engine company to a leader in **AI research**. Robin Li sees AI as the future of technology, and Baidu has invested heavily in projects such as **self-driving cars, smart assistants**, and **AI cloud services**. - Baidu’s **Apollo platform**, a project focused on autonomous driving, has been one of the company’s most ambitious ventures, collaborating with car manufacturers and tech companies to bring self-driving cars to the market. ### Leadership and Challenges: - Robin Li continues to lead Baidu as CEO, although the company has faced challenges, including increased competition from other Chinese tech giants like **Tencent** and **Alibaba**, as well as regulatory challenges from the Chinese government. - Baidu has also faced hurdles in the mobile internet era, where platforms like **WeChat** (owned by Tencent) and **Alibaba's e-commerce platforms** have taken away user attention. Despite this, Baidu has remained a leader in AI development and search technologies in China. ### Legacy and Impact: - Baidu is now known as one of China’s **"BAT"** companies—Baidu, Alibaba, and Tencent—representing the three biggest tech firms in the country. - **Robin Li** is recognized as one of the most influential figures in the tech industry in China, with Baidu playing a crucial role in the development of the internet in the country. In summary, Baidu was founded by **Robin Li** and **Eric Xu** in **2000** and quickly became the dominant search engine in China. Robin Li's vision and his expertise in search engine algorithms were key to the company's success. Over time, Baidu expanded into various areas of technology, including artificial intelligence and autonomous driving, positioning itself as a tech leader in the global market.
    0 Commentaires 0 Parts 535 Vue
  • The Story of “Cyber” — From the Helmsman of Ancient Seas to the Captain of the Digital World

    Long before the first computer flickered to life, before humans even dreamed of artificial intelligence or the internet, the word “cyber” began its quiet journey on the waves of the ancient Aegean Sea.

    It was born from the Greek word “kybernētēs” (κυβερνήτης) — a word that meant helmsman, the one who holds the steering oar of a ship, guiding it safely through storm and sea. From the same root came the verb “kybernan”, meaning to steer, to guide, to govern.

    In ancient Greece, this helmsman was not just a sailor. He was a symbol of wisdom — someone who could read the stars, predict the winds, and make decisions that kept his crew alive. The helmsman’s art was one of balance between control and chaos. He didn’t fight the sea — he worked with it. That idea, born thousands of years ago, would later evolve into one of the most powerful metaphors of the modern age.



    The Machine Age and Norbert Wiener

    Fast forward two thousand years. The year was 1948.
    World War II had just ended, and humanity was standing between destruction and discovery. The world had seen the power of machines — radar, radio, computation — and also the danger of losing control over them.

    A brilliant mathematician named Norbert Wiener, working at the Massachusetts Institute of Technology (MIT), was deeply fascinated by how machines and humans shared one common challenge: control.

    He observed that both living beings and machines use feedback — a constant loop of action, response, and correction — to guide themselves. A pilot adjusts his flight path based on instruments. A thermostat regulates heat by sensing temperature. A human learns by noticing mistakes.

    To describe this universal principle — the art of steering systems intelligently — Wiener reached back into ancient Greek and chose that old, wise word: “kybernētēs.”

    He titled his groundbreaking book:
    “Cybernetics: Or Control and Communication in the Animal and the Machine.”

    And thus, the word cybernetics was born — a fusion of philosophy, science, and engineering, meaning the study of how systems, biological or mechanical, steer themselves through feedback and communication.



    From Science to Culture

    Cybernetics gave birth to new sciences — robotics, computer science, systems theory, and eventually artificial intelligence.

    In the 1960s, as computers became more common, writers and thinkers began using the shortened form “cyber-” as a prefix to describe anything that involved control, information, or automation.

    “Cybernation” meant automation of industries.
    “Cybernetician” meant someone who studies intelligent systems.

    But the real revolution came when imagination entered the equation.



    The Birth of “Cyberspace”

    In 1982, a young Canadian writer named William Gibson published a short story called “Burning Chrome.” In it, he imagined a digital universe — a world inside computers — where humans could travel through data as if it were a physical space. He called that universe “cyberspace.”

    Two years later, in his novel Neuromancer, he described it more vividly:

    “A consensual hallucination experienced daily by billions of legitimate operators, in every nation… a graphic representation of data abstracted from every computer in the human system.”

    From that moment, cyber stopped being just a technical prefix — it became a symbol of an entire new reality: the digital universe.

    The word leapt into everyday life:
    • Cybercrime
    • Cybersecurity
    • Cyberwar
    • Cyberlove
    • Cyberpunk

    And suddenly, everything digital was cyber.



    The Meaning Behind the Modern Word

    Today, when we say “cyber”, we think of networks, data, AI, and virtual life. But hidden inside this futuristic word is that same ancient wisdom: the art of steering.

    To live in the cyber age is to steer — to govern technology, not be governed by it.
    To build AI, social networks, and digital schools like Rehan School, is to become the kybernētēs of our time — the helmsmen of humanity’s technological ship.

    Cyber is not just about computers.
    It’s about communication, control, and consciousness.
    It’s about understanding that every action we take online sends ripples across a vast digital ocean.



    The Relevance for Rehan School and Future Leaders

    At Rehan School, when we teach children to use AI, social media, and the internet, we are not just teaching them to use technology — we are teaching them to steer it wisely.

    Every child learning to prompt an AI, to run a digital business, or to connect with the world online is becoming a modern cyber helmsman.

    “Cyber” thus becomes a sacred word — the bridge between wisdom of the past and the intelligence of the future.

    Just as the Greek sailor steered his wooden ship through dark storms, today’s cyber-leader must steer through storms of misinformation, digital addiction, and AI ethics. The challenge is the same: to stay awake, to stay aware, to stay in control.



    Epilogue — The Circle of Meaning

    From kybernētēs to cybernetics to cyberspace, the word has completed a full circle — from steering ships to steering minds, from oceans of water to oceans of data.

    When you next hear “cyber”, remember:
    It is not a cold, metallic word of machines.
    It is a living word — ancient, human, wise — reminding us that technology is just a ship. The destination, as always, depends on the one who holds the wheel.



    #Cyber #RehanSchool #AILeadership #DigitalHistory #RehanAllahwala
    🌐 The Story of “Cyber” — From the Helmsman of Ancient Seas to the Captain of the Digital World Long before the first computer flickered to life, before humans even dreamed of artificial intelligence or the internet, the word “cyber” began its quiet journey on the waves of the ancient Aegean Sea. It was born from the Greek word “kybernētēs” (κυβερνήτης) — a word that meant helmsman, the one who holds the steering oar of a ship, guiding it safely through storm and sea. From the same root came the verb “kybernan”, meaning to steer, to guide, to govern. In ancient Greece, this helmsman was not just a sailor. He was a symbol of wisdom — someone who could read the stars, predict the winds, and make decisions that kept his crew alive. The helmsman’s art was one of balance between control and chaos. He didn’t fight the sea — he worked with it. That idea, born thousands of years ago, would later evolve into one of the most powerful metaphors of the modern age. ⸻ ⚙️ The Machine Age and Norbert Wiener Fast forward two thousand years. The year was 1948. World War II had just ended, and humanity was standing between destruction and discovery. The world had seen the power of machines — radar, radio, computation — and also the danger of losing control over them. A brilliant mathematician named Norbert Wiener, working at the Massachusetts Institute of Technology (MIT), was deeply fascinated by how machines and humans shared one common challenge: control. He observed that both living beings and machines use feedback — a constant loop of action, response, and correction — to guide themselves. A pilot adjusts his flight path based on instruments. A thermostat regulates heat by sensing temperature. A human learns by noticing mistakes. To describe this universal principle — the art of steering systems intelligently — Wiener reached back into ancient Greek and chose that old, wise word: “kybernētēs.” He titled his groundbreaking book: “Cybernetics: Or Control and Communication in the Animal and the Machine.” And thus, the word cybernetics was born — a fusion of philosophy, science, and engineering, meaning the study of how systems, biological or mechanical, steer themselves through feedback and communication. ⸻ 🧠 From Science to Culture Cybernetics gave birth to new sciences — robotics, computer science, systems theory, and eventually artificial intelligence. In the 1960s, as computers became more common, writers and thinkers began using the shortened form “cyber-” as a prefix to describe anything that involved control, information, or automation. “Cybernation” meant automation of industries. “Cybernetician” meant someone who studies intelligent systems. But the real revolution came when imagination entered the equation. ⸻ 💻 The Birth of “Cyberspace” In 1982, a young Canadian writer named William Gibson published a short story called “Burning Chrome.” In it, he imagined a digital universe — a world inside computers — where humans could travel through data as if it were a physical space. He called that universe “cyberspace.” Two years later, in his novel Neuromancer, he described it more vividly: “A consensual hallucination experienced daily by billions of legitimate operators, in every nation… a graphic representation of data abstracted from every computer in the human system.” From that moment, cyber stopped being just a technical prefix — it became a symbol of an entire new reality: the digital universe. The word leapt into everyday life: • Cybercrime • Cybersecurity • Cyberwar • Cyberlove • Cyberpunk And suddenly, everything digital was cyber. ⸻ 🛰️ The Meaning Behind the Modern Word Today, when we say “cyber”, we think of networks, data, AI, and virtual life. But hidden inside this futuristic word is that same ancient wisdom: the art of steering. To live in the cyber age is to steer — to govern technology, not be governed by it. To build AI, social networks, and digital schools like Rehan School, is to become the kybernētēs of our time — the helmsmen of humanity’s technological ship. Cyber is not just about computers. It’s about communication, control, and consciousness. It’s about understanding that every action we take online sends ripples across a vast digital ocean. ⸻ 🌍 The Relevance for Rehan School and Future Leaders At Rehan School, when we teach children to use AI, social media, and the internet, we are not just teaching them to use technology — we are teaching them to steer it wisely. Every child learning to prompt an AI, to run a digital business, or to connect with the world online is becoming a modern cyber helmsman. “Cyber” thus becomes a sacred word — the bridge between wisdom of the past and the intelligence of the future. Just as the Greek sailor steered his wooden ship through dark storms, today’s cyber-leader must steer through storms of misinformation, digital addiction, and AI ethics. The challenge is the same: to stay awake, to stay aware, to stay in control. ⸻ ✨ Epilogue — The Circle of Meaning From kybernētēs to cybernetics to cyberspace, the word has completed a full circle — from steering ships to steering minds, from oceans of water to oceans of data. When you next hear “cyber”, remember: It is not a cold, metallic word of machines. It is a living word — ancient, human, wise — reminding us that technology is just a ship. The destination, as always, depends on the one who holds the wheel. ⸻ #Cyber #RehanSchool #AILeadership #DigitalHistory #RehanAllahwala
    0 Commentaires 0 Parts 1484 Vue
  • **The Future of Democracy (2025–2125):

    What Will Happen in the Next 100 Years — and Why**
    A story-based prediction from ChatGPT

    In 2025, the world looks obsessed with politics.

    People fight over parties.
    Social media explodes every election season.
    Nations are divided between “left” and “right,” as if these words still have meaning in a world of AI, climate change, and collapsing economies.

    But if you zoom out from 2025 to 2125 — the next 100 years — the entire political landscape changes completely.

    Here is what the future actually looks like.



    1. 2025–2040: The Slow Collapse of Traditional Politics (WHY?)

    What happens
    • Voters lose trust in politicians.
    • Governments fail to solve fast-moving problems.
    • Global crises (climate, migration, economy) move faster than human decision-making.
    • People demand “less talk, more accuracy.”

    Why it happens

    Because politics is slow…
    and the world is now fast.

    Democracy was designed in the 1700s:
    paper ballots, slow communication, emotional speeches, limited information.

    But today’s problems — pandemics, AI safety, cyberattacks, global warming — need decisions in minutes, not years.

    Human governments can’t keep up.
    AI can.

    This starts the first shift:

    Humans still vote, but AI starts advising governments.

    Countries like Singapore, Estonia, UAE, China, and South Korea begin using AI for:
    • economic predictions
    • budgeting
    • traffic management
    • policing patterns
    • climate simulations
    • medical planning

    People slowly realize:

    AI sees what humans cannot see.



    2. 2040–2060: The Age of AI-Assisted Democracies (WHY?)

    What happens

    Governments become “AI-hybrid.”
    Politicians stop making “guesses.”
    Every major policy is checked by AI simulation first.

    Before a government builds a bridge, raises taxes, bans something, or goes to war —
    AI runs millions of scenarios and shows the consequences.

    Why it happens

    Because AI becomes better than humans at:
    • reading data
    • detecting lies
    • predicting outcomes
    • optimizing budgets
    • preventing corruption

    Voters start demanding:

    “Show us the AI report before the decision.”

    Political arguments reduce.
    Evidence takes over.
    The emotional drama of politics begins to fade.

    This is the first real upgrade of democracy in 200 years.



    3. 2060–2080: The Rise of Mega-Cities as Mini-Countries (WHY?)

    What happens

    Cities become more important than countries.

    Gigacities like:
    • Karachi
    • Delhi
    • Lagos
    • São Paulo
    • Jakarta
    • Cairo
    • Dhaka
    • Tokyo

    will each have 50–100 million people — more population than many nations.

    These cities will demand:
    • their own budgets
    • their own AI governance
    • their own public services
    • their own local rules

    Countries become like “brands.”
    Cities become the real power centers.

    Why it happens

    Because cities control:
    • 80% of GDP
    • 90% of innovation
    • 95% of jobs
    • most of the population

    Your “city government” becomes more important than your national government.



    4. 2080–2100: The Technocrat Era (WHY?)

    What happens

    Politicians become symbolic figures.
    Real decisions are made by:
    • engineers
    • data scientists
    • healthcare experts
    • climate experts
    • economists
    • AI systems

    Imagine a world where:
    • doctors run health policy
    • engineers run transport
    • cybersecurity experts run digital laws
    • AI systems monitor corruption
    • scientists run climate policy

    This is technocratic governance.

    Why it happens

    Because people finally accept:

    Expertise > popularity.
    Competence > speeches.
    Accuracy > emotion.

    Mistakes in health, climate, and economy can destroy nations.
    So citizens choose specialists, not political performers.



    5. 2100–2125: The First Global Coordination System (WHY?)

    What happens

    For the first time ever, nations connect through a global AI governance layer.

    This system coordinates:
    • climate emergencies
    • food production
    • pandemics
    • space exploration
    • ocean protection
    • massive migrations
    • digital IDs

    Countries remain independent.
    Flags remain.
    Cultures remain.

    But systems are unified — like the internet:

    Different devices, one network.

    Why it happens

    Because global problems need global solutions.
    No country can solve:
    • climate
    • viruses
    • ocean death
    • asteroid protection
    • space exploration
    • immigration waves

    alone.

    Humans discover something profound:

    Shared intelligence is more powerful than shared borders.



    What Humans Must Prepare for (Very Important)

    1. Political identities will become useless

    The future doesn’t care about:
    • left or right
    • conservative or liberal
    • Republican or Democrat
    • PTI vs PMLN
    • BJP vs Congress

    These labels disappear because the problems become bigger than ideology.

    2. AI literacy becomes more important than political literacy

    Those who understand AI will shape the future.

    Those who stay stuck in old political debates will be left behind.

    3. Skills matter more than winning arguments

    Future leaders are:
    • innovators
    • creators
    • problem-solvers
    • communicators
    • technologists
    • emotionally mature people

    4. Emotional control becomes essential

    Politics today survives on anger.
    The future survives on clarity.

    5. Local governance becomes more important than national politics

    Your city matters more than your country.

    6. Young people must prepare for a world beyond elections

    Democracy evolves from a vote-based system to an intelligence-based system.



    The Simple Truth of the Next 100 Years

    Wars were replaced by diplomacy.
    Diplomacy was replaced by economics.
    Economics will now be replaced by intelligence.

    We are living in the final generation of traditional politics.
    The era of shouting matches, emotional speeches, TV debates, and political fights
    will soon be remembered the same way we remember:
    • kings
    • emperors
    • feudal lords
    • cavalry armies

    Important in their time…
    but outdated in the modern world.

    The next 100 years belong to:

    AI-augmented democracies, city-governments, global coordination, technocrats, and intelligent systems — not political parties.

    This transition is not science fiction.
    It has already started.

    And the people who understand this early will lead the future.
    ⭐ **The Future of Democracy (2025–2125): What Will Happen in the Next 100 Years — and Why** A story-based prediction from ChatGPT In 2025, the world looks obsessed with politics. People fight over parties. Social media explodes every election season. Nations are divided between “left” and “right,” as if these words still have meaning in a world of AI, climate change, and collapsing economies. But if you zoom out from 2025 to 2125 — the next 100 years — the entire political landscape changes completely. Here is what the future actually looks like. ⸻ ⭐ 1. 2025–2040: The Slow Collapse of Traditional Politics (WHY?) What happens • Voters lose trust in politicians. • Governments fail to solve fast-moving problems. • Global crises (climate, migration, economy) move faster than human decision-making. • People demand “less talk, more accuracy.” Why it happens Because politics is slow… and the world is now fast. Democracy was designed in the 1700s: paper ballots, slow communication, emotional speeches, limited information. But today’s problems — pandemics, AI safety, cyberattacks, global warming — need decisions in minutes, not years. Human governments can’t keep up. AI can. This starts the first shift: ⭐ Humans still vote, but AI starts advising governments. Countries like Singapore, Estonia, UAE, China, and South Korea begin using AI for: • economic predictions • budgeting • traffic management • policing patterns • climate simulations • medical planning People slowly realize: AI sees what humans cannot see. ⸻ ⭐ 2. 2040–2060: The Age of AI-Assisted Democracies (WHY?) What happens Governments become “AI-hybrid.” Politicians stop making “guesses.” Every major policy is checked by AI simulation first. Before a government builds a bridge, raises taxes, bans something, or goes to war — AI runs millions of scenarios and shows the consequences. Why it happens Because AI becomes better than humans at: • reading data • detecting lies • predicting outcomes • optimizing budgets • preventing corruption Voters start demanding: “Show us the AI report before the decision.” Political arguments reduce. Evidence takes over. The emotional drama of politics begins to fade. This is the first real upgrade of democracy in 200 years. ⸻ ⭐ 3. 2060–2080: The Rise of Mega-Cities as Mini-Countries (WHY?) What happens Cities become more important than countries. Gigacities like: • Karachi • Delhi • Lagos • São Paulo • Jakarta • Cairo • Dhaka • Tokyo will each have 50–100 million people — more population than many nations. These cities will demand: • their own budgets • their own AI governance • their own public services • their own local rules Countries become like “brands.” Cities become the real power centers. Why it happens Because cities control: • 80% of GDP • 90% of innovation • 95% of jobs • most of the population Your “city government” becomes more important than your national government. ⸻ ⭐ 4. 2080–2100: The Technocrat Era (WHY?) What happens Politicians become symbolic figures. Real decisions are made by: • engineers • data scientists • healthcare experts • climate experts • economists • AI systems Imagine a world where: • doctors run health policy • engineers run transport • cybersecurity experts run digital laws • AI systems monitor corruption • scientists run climate policy This is technocratic governance. Why it happens Because people finally accept: Expertise > popularity. Competence > speeches. Accuracy > emotion. Mistakes in health, climate, and economy can destroy nations. So citizens choose specialists, not political performers. ⸻ ⭐ 5. 2100–2125: The First Global Coordination System (WHY?) What happens For the first time ever, nations connect through a global AI governance layer. This system coordinates: • climate emergencies • food production • pandemics • space exploration • ocean protection • massive migrations • digital IDs Countries remain independent. Flags remain. Cultures remain. But systems are unified — like the internet: Different devices, one network. Why it happens Because global problems need global solutions. No country can solve: • climate • viruses • ocean death • asteroid protection • space exploration • immigration waves alone. Humans discover something profound: Shared intelligence is more powerful than shared borders. ⸻ ⭐ What Humans Must Prepare for (Very Important) 1. Political identities will become useless The future doesn’t care about: • left or right • conservative or liberal • Republican or Democrat • PTI vs PMLN • BJP vs Congress These labels disappear because the problems become bigger than ideology. 2. AI literacy becomes more important than political literacy Those who understand AI will shape the future. Those who stay stuck in old political debates will be left behind. 3. Skills matter more than winning arguments Future leaders are: • innovators • creators • problem-solvers • communicators • technologists • emotionally mature people 4. Emotional control becomes essential Politics today survives on anger. The future survives on clarity. 5. Local governance becomes more important than national politics Your city matters more than your country. 6. Young people must prepare for a world beyond elections Democracy evolves from a vote-based system to an intelligence-based system. ⸻ ⭐ The Simple Truth of the Next 100 Years Wars were replaced by diplomacy. Diplomacy was replaced by economics. Economics will now be replaced by intelligence. We are living in the final generation of traditional politics. The era of shouting matches, emotional speeches, TV debates, and political fights will soon be remembered the same way we remember: • kings • emperors • feudal lords • cavalry armies Important in their time… but outdated in the modern world. The next 100 years belong to: AI-augmented democracies, city-governments, global coordination, technocrats, and intelligent systems — not political parties. This transition is not science fiction. It has already started. And the people who understand this early will lead the future.
    0 Commentaires 0 Parts 1274 Vue
  • The is one of the most emotionally charged and geopolitically complex conflicts in modern history. Different people see it through completely different lenses depending on their history, media, ideology, geography, and fears.

    Here are five major angles people use to understand the war:



    1. The Pro-Ukraine / Anti-Russian Invasion Angle

    This is the dominant view in most Western countries.

    Core Belief:

    Russia invaded a sovereign country without justification.

    People with this view say:

    * Ukraine is an independent nation.
    * Russia violated international law by annexing Crimea in 2014 and invading in 2022.
    * Ukrainians have the right to choose Europe, democracy, or NATO if they want.
    * Russia is trying to rebuild imperial influence similar to the Soviet era.

    This side often highlights:

    * Civilian casualties
    * Destruction of cities
    * Refugees
    * Alleged war crimes
    * Forced deportations
    * Attacks on infrastructure

    They argue:

    “If large countries can simply invade smaller neighbors, the entire world order collapses.”

    NATO officially frames its support as helping Ukraine defend itself under international law.



    2. The Pro-Russian / Anti-NATO Expansion Angle

    This is common among Russian officials, some geopolitical analysts, and people skeptical of U.S. foreign policy.

    Core Belief:

    Russia felt strategically cornered by NATO expansion.

    People with this view argue:

    * NATO kept moving eastward after the Cold War.
    * Russia repeatedly warned that Ukraine joining NATO was a “red line.”
    * From Moscow’s perspective, hostile military infrastructure near its borders was unacceptable.
    * The West ignored Russian security concerns for decades.

    This angle often compares it to:

    “How would America react if Russia placed military bases in Mexico or Canada?”

    Supporters also point to:

    * Russian-speaking populations in eastern Ukraine
    * The 2014 overthrow of Ukraine’s pro-Russian president
    * Historical ties between Russia and Ukraine
    * Crimea’s strategic naval importance

    Some analysts argue NATO expansion was a major trigger for the war.



    3. The “Both Sides Are Being Used” Angle

    This view is common among anti-war thinkers and people distrustful of global power politics.

    Core Belief:

    Ordinary Ukrainians and Russians are both paying the price for a larger geopolitical power struggle.

    People with this view say:

    * Ukraine became the battleground between Russia and the West.
    * Russia, NATO, defense industries, intelligence agencies, and politicians all have strategic interests.
    * Young Ukrainians and Russians are dying while elites remain protected.
    * Arms manufacturers, energy politics, and geopolitical influence all play roles.

    This perspective often calls the war:

    * A proxy war
    * A security competition
    * A great-power confrontation

    Russian officials call it a NATO proxy war, while NATO rejects that framing.



    4. The Historical-Identity Angle

    This view focuses less on military strategy and more on identity, history, and civilization.

    Core Belief:

    The conflict is partly about competing visions of history and nationhood.

    Russia’s leadership often argues:

    * Russians and Ukrainians are historically “one people.”
    * Ukraine was deeply tied to the Russian Empire and Soviet Union.
    * Western influence is “pulling Ukraine away” culturally and politically.

    Ukraine strongly rejects this narrative and emphasizes:

    * Its own language
    * Its own culture
    * Its own identity
    * Its right to exist independently

    For many Ukrainians, this war is existential:

    “If we lose, our nation disappears.”

    For many Russians supporting the Kremlin:

    “If Ukraine fully joins the Western military sphere, Russia loses historical and strategic security.”

    This identity conflict is one reason compromise becomes emotionally difficult.



    5. The Humanitarian / Human Cost Angle

    This perspective ignores geopolitics and focuses on ordinary humans.

    Core Belief:

    War destroys generations regardless of who is “right.”

    This angle focuses on:

    * Millions displaced
    * Trauma in children
    * Destroyed homes
    * Economic collapse
    * Families separated
    * Long-term hatred between neighbors

    The conflict has also affected:

    * Food prices globally
    * Energy prices
    * Migration
    * Cybersecurity
    * Military spending worldwide

    Research shows major economic and entrepreneurial losses in both countries.

    Many people holding this view believe:

    “Even if one side wins militarily, both societies may lose psychologically for decades.”



    A Sixth Angle Emerging in 2026:

    The “Frozen Conflict” Fear

    Many analysts now worry the war may become a long-term frozen conflict like:

    * Korea
    * Kashmir
    * Cyprus

    Russia currently controls around 20% of Ukrainian territory including Crimea and parts of Donbas, according to several trackers.

    Recent reports show:

    * Heavy casualties on both sides
    * Expanding drone warfare
    * Economic pressure on Russia
    * Continued Western aid to Ukraine
    * No clear peace settlement yet



    The Difficult Truth

    The hardest part about this conflict is:

    Two things can be true at the same time.

    For example:

    * Russia may genuinely fear NATO expansion.
    * Ukraine may genuinely fear Russian domination.

    Or:

    * NATO may believe it is defending democracy.
    * Russia may believe it is defending strategic survival.

    Humans often want a simple:

    “good guy vs bad guy”

    But geopolitics is usually:

    history + fear + power + propaganda + economics + identity + trauma.

    That does not mean “all sides are equal.”
    It means understanding conflicts requires seeing multiple layers simultaneously.
    The is one of the most emotionally charged and geopolitically complex conflicts in modern history. Different people see it through completely different lenses depending on their history, media, ideology, geography, and fears. Here are five major angles people use to understand the war: ⸻ 1. The Pro-Ukraine / Anti-Russian Invasion Angle This is the dominant view in most Western countries. Core Belief: Russia invaded a sovereign country without justification. People with this view say: * Ukraine is an independent nation. * Russia violated international law by annexing Crimea in 2014 and invading in 2022. * Ukrainians have the right to choose Europe, democracy, or NATO if they want. * Russia is trying to rebuild imperial influence similar to the Soviet era. This side often highlights: * Civilian casualties * Destruction of cities * Refugees * Alleged war crimes * Forced deportations * Attacks on infrastructure They argue: “If large countries can simply invade smaller neighbors, the entire world order collapses.” NATO officially frames its support as helping Ukraine defend itself under international law. ⸻ 2. The Pro-Russian / Anti-NATO Expansion Angle This is common among Russian officials, some geopolitical analysts, and people skeptical of U.S. foreign policy. Core Belief: Russia felt strategically cornered by NATO expansion. People with this view argue: * NATO kept moving eastward after the Cold War. * Russia repeatedly warned that Ukraine joining NATO was a “red line.” * From Moscow’s perspective, hostile military infrastructure near its borders was unacceptable. * The West ignored Russian security concerns for decades. This angle often compares it to: “How would America react if Russia placed military bases in Mexico or Canada?” Supporters also point to: * Russian-speaking populations in eastern Ukraine * The 2014 overthrow of Ukraine’s pro-Russian president * Historical ties between Russia and Ukraine * Crimea’s strategic naval importance Some analysts argue NATO expansion was a major trigger for the war. ⸻ 3. The “Both Sides Are Being Used” Angle This view is common among anti-war thinkers and people distrustful of global power politics. Core Belief: Ordinary Ukrainians and Russians are both paying the price for a larger geopolitical power struggle. People with this view say: * Ukraine became the battleground between Russia and the West. * Russia, NATO, defense industries, intelligence agencies, and politicians all have strategic interests. * Young Ukrainians and Russians are dying while elites remain protected. * Arms manufacturers, energy politics, and geopolitical influence all play roles. This perspective often calls the war: * A proxy war * A security competition * A great-power confrontation Russian officials call it a NATO proxy war, while NATO rejects that framing. ⸻ 4. The Historical-Identity Angle This view focuses less on military strategy and more on identity, history, and civilization. Core Belief: The conflict is partly about competing visions of history and nationhood. Russia’s leadership often argues: * Russians and Ukrainians are historically “one people.” * Ukraine was deeply tied to the Russian Empire and Soviet Union. * Western influence is “pulling Ukraine away” culturally and politically. Ukraine strongly rejects this narrative and emphasizes: * Its own language * Its own culture * Its own identity * Its right to exist independently For many Ukrainians, this war is existential: “If we lose, our nation disappears.” For many Russians supporting the Kremlin: “If Ukraine fully joins the Western military sphere, Russia loses historical and strategic security.” This identity conflict is one reason compromise becomes emotionally difficult. ⸻ 5. The Humanitarian / Human Cost Angle This perspective ignores geopolitics and focuses on ordinary humans. Core Belief: War destroys generations regardless of who is “right.” This angle focuses on: * Millions displaced * Trauma in children * Destroyed homes * Economic collapse * Families separated * Long-term hatred between neighbors The conflict has also affected: * Food prices globally * Energy prices * Migration * Cybersecurity * Military spending worldwide Research shows major economic and entrepreneurial losses in both countries. Many people holding this view believe: “Even if one side wins militarily, both societies may lose psychologically for decades.” ⸻ A Sixth Angle Emerging in 2026: The “Frozen Conflict” Fear Many analysts now worry the war may become a long-term frozen conflict like: * Korea * Kashmir * Cyprus Russia currently controls around 20% of Ukrainian territory including Crimea and parts of Donbas, according to several trackers. Recent reports show: * Heavy casualties on both sides * Expanding drone warfare * Economic pressure on Russia * Continued Western aid to Ukraine * No clear peace settlement yet ⸻ The Difficult Truth The hardest part about this conflict is: Two things can be true at the same time. For example: * Russia may genuinely fear NATO expansion. * Ukraine may genuinely fear Russian domination. Or: * NATO may believe it is defending democracy. * Russia may believe it is defending strategic survival. Humans often want a simple: “good guy vs bad guy” But geopolitics is usually: history + fear + power + propaganda + economics + identity + trauma. That does not mean “all sides are equal.” It means understanding conflicts requires seeing multiple layers simultaneously.
    0 Commentaires 0 Parts 602 Vue
  • Meet Mei Wen from Sweden !

    She says

    3 areas I’m interested in: Tech(AI/Cybersecurity/Robotics/Blockchain), Health(Well-being/Healing/Longevity/Stemcell), Social impact(Diplomacy/Communities/Entrepreneurship)

    I’m currently looking to establish collaborations in those areas. I’m looking to upgrade body (health) mind (tech) and heart (social). Building physical centers for cutting edge research and treatment

    Who should she know ?
    Meet Mei Wen from Sweden ! She says 3 areas I’m interested in: Tech(AI/Cybersecurity/Robotics/Blockchain), Health(Well-being/Healing/Longevity/Stemcell), Social impact(Diplomacy/Communities/Entrepreneurship) I’m currently looking to establish collaborations in those areas. I’m looking to upgrade body (health) mind (tech) and heart (social). Building physical centers for cutting edge research and treatment Who should she know ?
    0 Commentaires 0 Parts 517 Vue
  • Ashar Aziz is an OPEN Silicon Valley and OPEN Islamabad Charter Member, recipient of the Ernst & Young Entrepreneur of the Year Award, civil award Sitara-i-Imtiaz by the government of Pakistan for his contributions to the IT industry and is one of the few Pakistanis inducted into the Forbes list of Billionaires.

    A techie by profession, foodie at heart and one of the biggest OPEN supporters,
    Ashar Aziz is the Founder and Chairman of BedRock Systems, an early stage cybersecurity company building formally verified security software. He is the inventor of the core concepts behind the BedRock technology. He is the Founder and Executive Chairman of SkyElectric Inc, an intelligent solar plus storage company. He is the creator of the core energy intelligence and management technologies embedded in the SkyElectric Smart Solar System. In 2018, Mr. Aziz received the most prestigious National award, Sitara-e-Imtiaz for his services in IT Industry. Previously, Ashar founded FireEye, Inc., (NASDAQ:FEYE), a global cyber-security company, in 2004. He served as the CEO of FireEye from 2004 until November 2012 and also served as its Board Vice Chairman, CFO and CTO.

    Prior to FireEye, he founded Terraspring, Inc., and also served as the CTO of Sun Microsystems, Inc. N1 program. Before founding Terraspring, he spent 12 years at Sun Microsystems, Inc. as a Distinguished Engineer. He has over 80 patents in the areas of networking, network security, and data center virtualization. Mr. Aziz also has the honor of receiving the Ernst and Young Entrepreneur of the Year award. Ashar graduated with an SB from MIT and later received an MS from UC Berkeley.

    His interview https://youtu.be/8uiZ08Kc2Ss
    Ashar Aziz is an OPEN Silicon Valley and OPEN Islamabad Charter Member, recipient of the Ernst & Young Entrepreneur of the Year Award, civil award Sitara-i-Imtiaz by the government of Pakistan for his contributions to the IT industry and is one of the few Pakistanis inducted into the Forbes list of Billionaires. A techie by profession, foodie at heart and one of the biggest OPEN supporters, Ashar Aziz is the Founder and Chairman of BedRock Systems, an early stage cybersecurity company building formally verified security software. He is the inventor of the core concepts behind the BedRock technology. He is the Founder and Executive Chairman of SkyElectric Inc, an intelligent solar plus storage company. He is the creator of the core energy intelligence and management technologies embedded in the SkyElectric Smart Solar System. In 2018, Mr. Aziz received the most prestigious National award, Sitara-e-Imtiaz for his services in IT Industry. Previously, Ashar founded FireEye, Inc., (NASDAQ:FEYE), a global cyber-security company, in 2004. He served as the CEO of FireEye from 2004 until November 2012 and also served as its Board Vice Chairman, CFO and CTO. Prior to FireEye, he founded Terraspring, Inc., and also served as the CTO of Sun Microsystems, Inc. N1 program. Before founding Terraspring, he spent 12 years at Sun Microsystems, Inc. as a Distinguished Engineer. He has over 80 patents in the areas of networking, network security, and data center virtualization. Mr. Aziz also has the honor of receiving the Ernst and Young Entrepreneur of the Year award. Ashar graduated with an SB from MIT and later received an MS from UC Berkeley. His interview https://youtu.be/8uiZ08Kc2Ss
    0 Commentaires 0 Parts 247 Vue
  • Invitation for Application - Boot Camp Intensive Training in Pakistan Based on International Standards

    Apply Online: https://moitt.gov.pk

    Note: Selection will be after technical assessment.

    Ministry Of IT & Telecom

    #Blockchain #AI #MI #Cloudcomputing #DataScience #CyberSecurity #MOITTBootcamps
    Invitation for Application - Boot Camp Intensive Training in Pakistan Based on International Standards Apply Online: https://moitt.gov.pk Note: Selection will be after technical assessment. Ministry Of IT & Telecom #Blockchain #AI #MI #Cloudcomputing #DataScience #CyberSecurity #MOITTBootcamps
    0 Commentaires 0 Parts 1324 Vue
  • From MEA :

    A good conversation between PM @narendramodi and CEO of Alphabet Inc. & Google @sundarpichai.

    PM invited @sundarpichai to explore further avenues of collaboration in the domains of Artificial Intelligence (AI); fintech; cybersecurity products & services; as well as mobile device manufacturing in India.

    They also discussed collaboration between Google and academic institutions in India to promote R&D and skill development.
    From MEA : A good conversation between PM @narendramodi and CEO of Alphabet Inc. & Google @sundarpichai. PM invited @sundarpichai to explore further avenues of collaboration in the domains of Artificial Intelligence (AI); fintech; cybersecurity products & services; as well as mobile device manufacturing in India. They also discussed collaboration between Google and academic institutions in India to promote R&D and skill development.
    0 Commentaires 0 Parts 381 Vue
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