LEDs and Lighting (1) Metasurfaces and Flat Optics (4) Microscopy and Biomedical Imaging (2) Microwave and RF Photonics (2) Near-Field Optics and Plasmonics (5) Nonlinear and Ultrafast Optics (10) Optical Communications (15) Optical Computing (4) Optical Design and Fabrication (12) Optical Fibers (6) Optical Materials, Nanomaterials and 2D ...
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 ...
The deep neural network models that power today's most demanding machine-learning applications are pushing the limits of traditional electronic computing hardware, according to scientists working on a ...
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 ...
CU Boulder News & Events: Atom Computing, ColdQuanta, Meadowlark Optics and SPIE join as strategic partners with university-led CUbit Quantum Initiative
Atom Computing, ColdQuanta, Meadowlark Optics and SPIE join as strategic partners with university-led CUbit Quantum Initiative
A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help ...
Design News: How Machine Learning Is Changing The Future Of Fiber Optics
The high bandwidth demands created by our mobile and smart devices, data storage, and cloud computing centers is growing by leaps and bounds. And the ubiquity of fiber optics is a big part of this.
Researchers at MIT and elsewhere has developed a new approach to deep learning AI computing, using light instead of electricity, which they say could vastly improve the speed and efficiency of certain ...