AI计算新范式：光学与生物神经元计算
Y Combinator分享的AI计算前沿探索，从光学计算到生物神经元，突破传统GPU限制。
本周论文俱乐部探讨AI计算新范式，包括使用光进行计算的光学系统、受大脑启发的神经形态架构，以及训练活体脑细胞玩《毁灭战士》的实验。视频涵盖反传播替代方法、零阶优化和SOMA算法，以及光学计算为何尚未普及的原因。讨论还包括扩散模型的光学实现和神经形态计算的当前状态。
This week’s Paper Club is all about alternative compute. Modern AI has been shaped by a tight coupling between transformers, backpropagation, and GPUs. But as compute efficiency starts to plateau, there may be very different ways to build the machines that come next. We explore what AI compute could look like beyond conventional digital hardware through optical systems that use light to perform computation, neuromorphic architectures inspired by the brain, and experiments teaching living brain cells to play Doom. 00:07 — @FrancoisChauba1 : Why Alternative Compute? 03:38 — Beyond Backpropagation 08:08 — Zero-Order Optimization and SOMA 15:06 — Ilker Oguz: Computing With Light 19:27 — Why Optical Computing Isn’t Everywhere Yet 22:23 — Building a Diffusion Model With Light 30:03 — Optical Computing Q&A 39:00 — @AlokVasudev : What Is Neuromorphic Computing? 45:23 — What the Brain Can Teach Us About Chips 49:35 — Where Neuromorphic Computing Stands Today 54:24 — Neuromorphic Computing Q&A 1:04:24 — @vytalow : Teaching Brain Cells to Play Doom 1:07:48 — Training Biological Neurons With Reinforcement Learning 1:12:28 — How Brain Cells Learn From Feedback 1:15:40 — Biological Computing Q&A Your browser does not support the video tag. 🔗 View on Twitter 💬 8 🔄 4 ❤️ 23 👀 6328 📊 11 ⚡
