Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...

A new wave of innovation is transforming the future of optical technologies, driven by rapid advancements in semiconductor nanolasers. These advances are essential for future applications such as ...

Schematic of BOC, showing how ONNs, OSNNs, ENNs and optical memristors form a unified photonic intelligence architecture inspired by biological neural systems, supporting future edge and embodied ...

For decades there has been near constant progress in reducing the size, and increasing the performance, of the circuits that power computers and smartphones. But Moore's Law is ending as physical ...

Advancing concrete initiatives toward the realization of a fault-tolerant, one-million-qubit-class optical quantum computer and accelerating real-world implementation Aug. 3, 2026 — OptQC Corp. and ...

This article reviews the mutual empowerment between artificial intelligence and metasurfaces, characterizing that artificial intelligence enables intelligent nanophotonics, while metasurfaces ...

Scientists, including an Oregon State University chemistry researcher, have taken a key step toward faster, more energy-efficient artificial intelligence, and data processing in general, with the ...

NTT invested in optical quantum computing startup OptQC, expanding a research collaboration launched last year into a broader commercial partnership targeting a fault-tolerant one-million-qubit ...

The rapid expansion of AI computing power is driving unprecedented demand for optical fiber and cable, with a 180 million fiber-km gap expected in 2026. CRU forecasts global demand to reach ...

Proprietary silicon photonic architecture targets critical bandwidth, energy efficiency and scalability demands of AI inferenceOptical processors ...