🌟 Ever wondered how we'll keep up with the skyrocketing demand for computing power in our tech-driven world? We sat down with Chu Junhao, a member of the Chinese Academy of Sciences and a semiconductor whiz, to get the inside scoop! 🎙️
With AI becoming the superstar in industries from healthcare to energy, the need for serious computing power is on the rise. \"AI relies heavily on massive calculations,\" Chu explains. \"As it integrates more with sectors like medicine, materials science, and information tech, we're gonna need some serious upgrades!\" 💡
So, what's the game plan? Chu emphasizes boosting and expanding our computational infrastructure. \"We need to strategically plan computing power distribution, both regionally and internally,\" he says. \"Plus, enhancing semiconductor hardware technology is crucial.\" ⚙️
Innovation is key! Think compute-in-memory (CIM) technology that allows on-chip processing. Imagine only transmitting processed data instead of tons of raw info—that's a game-changer for storage and efficiency! 🚀
\"By organizing data into units and pre-processing, we can move to the next stage and save on computing power,\" Chu notes. It's like sorting your closet before packing for a trip—you only take what you need! 🎒
But wait, there's more! With Moore's Law (the idea that processing power doubles every two years) slowing down, we're at a tech crossroads. \"We're reaching the physical limits with semiconductor components,\" Chu points out. \"It's time for new materials and innovative computing models.\" 🔬
Enter the future stars: spintronic devices, quantum chips, and photonic computing. \"We're exploring the science and applications of these technologies,\" says Chu. \"Once we're up and running, we'll focus on real-world uses.\" 🌐
Chu also highlights the need to make hardware smarter—almost like giving computers a human touch! 🧠 He mentions that a chess-playing robot can burn through a lot of energy. \"Each move requires complex calculations,\" he says. \"Embedding the principles of human thought into computers is crucial for AI's future.\"
Of course, this isn't an overnight fix. \"It's a gradual, step-by-step journey,\" Chu reminds us. But with brilliant minds like his leading the way, the future of computing power looks bright! ✨
So, gear up tech enthusiasts—the next wave of innovation is coming, and it's gonna be epic! 🌊
Reference(s):
Tech Talk: How to cope with the increasing need of computing power?
cgtn.com
