A new silicon valley startup, NTT Research, has introduced a hyperspectral compute-in-memory architecture that merges space and frequency division multiplexing to boost computational efficiency and throughput. In contrast to many existing optical interconnect architectures, by integrating frequency division multiplexing, each pixel is able to process multiple frequency signals concurrently. This allows for the optics to process parallel data energy-efficiently, while the electronics enhance programmability. Hyperspectral compute-in-memory architecture boosts efficiency of AI | Electro Optics