MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
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AI computation enables clearer views of the deep brain, bypassing the need for expensive equipment
Professor Iksung Kang (School of Electrical Engineering), in collaboration with Professor Na Ji's research team at UC ...
Observing the depths of a living brain with clarity has traditionally required expensive, high-end equipment. However, a ...
A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...
Researchers have announced several major microscopy innovations that enhance resolution, sensitivity, and analytical capabilities for live biological imaging. Advances include AI-driven aberration ...
EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
A new study published in Engineering introduces a neural-network-based switching output regulation controller (NN-SORC) for high-speed ...
Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...
For more than 30 years, credit decisioning has focused on improving speed and accuracy through automated, large-scale, ...
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