Light Does the Math Now, and It Does It Rather Quickly
Peking University researchers built an all-optical interconnect system. It links conventional electronic chips using light rather than electrical signals, paired with specific algorithms. The reported result is a 100-fold speed increase using a fraction of typical compute power.
This demonstrates algorithm-hardware co-design: the speedup comes from redesigning both the physical layer and the computation strategy together. You should stop assuming that faster AI requires merely bigger clusters. Sometimes the bottleneck is how information moves, not how much processing occurs.
Researchers at Peking University developed this system. The South China Morning Post reports their work. No individual researcher names or specific funding figures appear in the source.
Step 1: Open Google Colab or any free Jupyter notebook environment in your browser. Step 2: Run a simple matrix multiplication first with standard NumPy, then with the 'cupy' library that offloads to GPU. Step 3: Time both versions to experience how changing the underlying hardware pathway, not the algorithm itself, produces dramatic speed differences.