UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Microcontroller units (MCUs) are single-chip computers optimized for performing embedded computing tasks like controlling a ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

Sidus Space (NASDAQ: SIDU) ("Sidus" or the "Company"), an innovative space and defense technology company, today announced the successful completion of the design phase for its FeatherEdge™ 248Vi edge ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear ...

With its framing as an all-American AI-RAN stack, ODC’s solution builds on Nvidia’s 6G AI-Wireless Intelligent Network ...

Sidus Space ("Sidus" or the "Company"), an innovative space and defense technology company, today announced the successful completion of the design phase for its FeatherEdgetm 248Vi edge computer, a ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex ...

Inception AI Inc., a company building ultra-fast large language models based on the diffusion technique, said today it has ...