In the age of information, data processing and computation are essential. But current computation devices lack scalability and suffer from high carbon emissions. So researchers are constantly looking ...
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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Subscribe to our ...
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 ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
For the first time, an international cadre of electrical engineers has developed a new method for photonic in-memory computing that could make optical computing a reality in the near future. Until now ...
Researchers have developed a new optical computing material from photon avalanching nanoparticles. A research team co-led by Lawrence Berkeley National Laboratory (Berkeley Lab), Columbia University, ...
A new technical paper titled “Integrated non-reciprocal magneto-optics with ultra-high endurance for photonic in-memory computing” was published by researchers at UC Santa Barbara, University of ...
Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...
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