The Digital Era’s Burning Question: How Do We Power Tomorrow’s AI?
Imagine a world where AI diagnoses diseases, designs eco-friendly materials, and optimizes energy grids in real-time. But there’s a catch: this future runs on a currency called computing power – and we’re running low. 🚨
Semiconductors & the New Gold Rush
Chinese Academy of Sciences member Chu Junhao, a rockstar scientist with 1M+ Bilibili followers 🤯, warns that AI’s collision with industries like healthcare and climate tech will create explosive demand for smarter chips. “It’s not about bigger data centers,” he told CGTN. “It’s about reinventing how we think about computation.”
Moore’s Law 2.0: Beyond the Silicon Wall
As traditional chip scaling hits atomic limits (RIP, Moore’s Law 😢), Chu’s squad is betting on:
🧠 Compute-in-memory tech (think: chips that process data where it’s stored)
🔮 Quantum & photonic computing
⚡️Energy-efficient designs inspired by… human brains?
Fun fact: A single chess-playing AI move can burn $3k in electricity 💸 – while your brain solves puzzles on a salad-powered budget. 🥗 That’s why Chu’s team is reverse-engineering biological intelligence for greener AI.
The Road Ahead: No Quick Fixes
Chu’s vision? A world where chips think more like humans – but he warns this requires “step-by-step fundamental research, not quick hacks.” For Gen Z digital natives, the message is clear: the race to save computing isn’t just about tech – it’s about reimagining innovation itself. 🌐✨
