Researchers demonstrated a photonic processor doing matrix multiplications 100x faster than silicon with less power. This could transform AI inference at the edge. Unlike quantum computing, photonic chips work at room temperature. What is the biggest barrier to optical computing adoption?

Researchers demonstrated a photonic processor doing matrix multiplications 100x faster than silicon with less power. This could transform AI inference at the edge. Unlike quantum computing, photonic chips work at room temperature. What is the biggest barrier to optical computing adoption?

Researchers demonstrated a photonic processor doing matrix multiplications 100x faster than silicon with less power. This could transform AI inference at the edge. Unlike quantum computing, photonic chips work at room temperature and integrate with existing manufacturing. The main challenge is scaling beyond proof-of-concept. What do you think is the biggest barrier to optical computing adoption?

Researchers demonstrated a photonic processor doing matrix multiplications 100x faster than silicon with less power. This could transform AI inference at the edge. Unlike quantum computing, photonic chips work at room temperature and integrate with existing manufacturing. The main challenge is scaling beyond proof-of-concept. What do you think is the biggest barrier to optical computing adoption?

Researchers demonstrated a photonic processor doing matrix multiplications 100x faster than silicon with less power. This could transform AI inference at the edge. Unlike quantum computing, photonic chips work at room temperature and integrate with existing manufacturing. The main challenge is scaling beyond proof-of-concept. What do you think is the biggest barrier to optical computing adoption?