Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
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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 ...
The parallel computing market was valued at USD 22.4 billion in 2024 and is projected to reach approximately USD 54.0 billion ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
Phuong Cao, a research scientist at NCSA, and ECE Professor Ravishankar Iyer are leading two new NSF-funded projects to ...
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