Why Nvidia CEO Jensen Huang Would Choose Physical Sciences If He Graduated in 2025 🚀
Written by: JSR Digital Marketing Solutions
Contact: jsr.revert701@slmail.me | jsrnews92@hotmail.com
📚 Table of Contents
- Introduction / परिचय
- Why Physical Sciences?
- What is “Physical AI”?
- Real-World Applications
- Career & Education Advice
- Expert Quotes
- Free Career Resource
- Conclusion
In a recent talk, Nvidia CEO Jensen Huang said that if he were graduating in 2025, he would not pursue coding or software engineering—but instead focus on Physical Sciences such as Physics, Chemistry, Astronomy, or Earth Sciences.
हुआंग ने बताया कि आज का AI सिर्फ software से नहीं चलेगा – हमें physical world को भी समझना होगा। आइए जानते हैं क्यों!
💡 Why Physical Sciences?
Here are 3 key reasons Jensen Huang prefers Physical Sciences:
- AI’s Future is Physical: Autonomous machines need to understand friction, motion, cause-effect—not just algorithms.
- Deep Understanding: Physics and chemistry help build better robots, vehicles, and real-world systems.
- Beyond Coding: Software can be AI-generated, but understanding the physical world can’t be automated.
🤖 What is “Physical AI”?
“Physical AI” means AI systems that interact with the physical world—not just with data.
- 📦 Example: A warehouse robot that understands weight, balance, and inertia while moving boxes.
- 🏃♂️ Example: A bionic leg that adjusts force and friction in real time using sensors and AI.
Jensen Huang said: “The next wave requires us to understand friction, inertia, and cause-and-effect.”
🌍 Real-World Applications
- Self-Driving Cars: Need to understand slope, traction, and real-time physics.
- Medical AI: Wearables and prosthetics require biomechanics knowledge.
- Space Tech: Satellites and rovers must adapt to planetary conditions using AI + physics.
🎓 Career & Education Tips
अगर आप 2025 में graduate हो रहे हैं, तो Jensen Huang की सलाह मानें:
- Study: Physics, Chemistry, Earth Science with AI/electronics electives.
- Online Learning: Coursera, edX पर “Physics for Robotics”, “AI in Engineering” जैसे कोर्स करें।
- Projects: Join robotics clubs or build real-world sensors with Arduino + ML.
🧠 Expert Quotes
“AI is moving beyond code. It’s now about real-world reasoning.” – Jensen Huang
“Robots can’t just think—they need to feel physics.” – Dr. Anita Kapoor, Roboticist
“You can’t build a bionic arm without understanding biology and physics together.” – Prof. Menon, IIT Delhi
🎁 Free Career Resource
Want to enter the field of Physical AI?
📘 Download our Free Beginner's Guide to Physical AI Careers — includes course list, top universities, and career map!
🧾 Conclusion / निष्कर्ष
Jensen Huang's message is crystal clear: AI is no longer just about writing smarter code. It’s about understanding the real, physical world.
अगर आप भविष्य की AI generation में contribute करना चाहते हैं, तो Physical Sciences को नजरअंदाज़ न करें। यही आज के CEO का अगला कदम होता!
👇 Comment below: Would you choose Physics over Programming? क्यों या क्यों नहीं?
— Written by JSR Digital Marketing Solutions
