Biases in data can be amplified by the training process, leading to distorted — or even unjust — results. And even when a model does work, it’s not always clear why. (Deep learning algorithms are ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

This process is known as quantum compilation. ... Multi-target quantum compilation algorithm. Machine Learning: Science and Technology, 2024; 5 (4): 045057 DOI: 10.1088/2632-2153/ad9705; ...

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.