MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data through repeated matrix operations that sit at the heart of every neural ...
The research team led by Professor Hongsoo Choi from DGIST (President Kuk Yang) in the Department of Robotics and Mechatronics Engineering has developed a microrobot capable of forming neural networks ...
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Neural networks explained: Forward and backward propagation simplified
In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...
A team of researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed an ionic circuit comprising hundreds of ionic transistors and performed a core ...
Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix ...
Cutting corners: Researchers from the University of California, Santa Cruz, have devised a way to run a billion-parameter-scale large language model using just 13 watts of power – about as much as a ...
Microprocessors in smartphones, computers, and data centers process information by manipulating electrons through solid semiconductors but our brains have a different system. They rely on the ...
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