Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The researchers ...

Their work demonstrates that quantum circuits for data encoding in quantum machine learning can be greatly simplified without compromising accuracy or robustness. The research was published Sept ...

On Friday, April 18, 2025, the Federal Circuit addressed a question of first impression regarding the validity of certain machine-learning patents under Section 101 in Recentive Analytics, Inc. v ...

“Successful machine learning is only as good as the data available, which is why it needs new, updated data to provide the most accurate outputs or predictions for any given need,” said ...

With more dense circuits, ... Just as computer acquisition of radiographic images did away with the x-ray file room and lost images, AI and machine learning can transform medicine.

On April 18, 2025, the United States Court of Appeals for the Federal Circuit ("Federal Circuit") issued a significant decision in Recentive Analytics, Inc. v. Fox Corp., Case No. 2023-2437 (Apr ...

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology. See also: Interactive: ...

Machine learning technique reconstructs images passing through a multimode fiber. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 08 / 180809175150.htm ...

image: This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.