Recent advancements in generative artificial intelligence (AI) have spotlighted its remarkable capabilities in tackling complex tasks 1,2 such as advanced computer vision 3,4, natural language ...

Research on ONNs began as early as the 1960s. To clearly illustrate the development history of ONNs, this review presents the evolution of related research work chronologically at the beginning of the ...

Chinese Scientists Use Digital Twins to Streamline AI Training on Light-Based Systems ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

The rapidly increasing demands on computational throughput, bandwidth and memory capacity fuelled by breakthroughs in machine learning pose substantial challenges for conventional electronic computing ...

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 ...

While optical computing systems (OCS) with high bandwidth, low latency, and inherent parallelism are promising accelerators for artificial ...

The Next Interface for AI Is Not a Screen The growing range of opportunities to use artificial intelligence is rapidly ...

Optical systems are becoming essential to modern computing as data centers require faster transmission, stronger connectivity ...

Optical processing has long been explored for its potential in high-speed computing, but hurdles such as cost and scalability have prevented widespread deployment. Lumai, an optical compute company, ...