Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

While quantum computing provides new capabilities to AI, the relationship is reciprocal. The study explains how AI helps ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

More information: Maxwell T. West et al, Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning, Intelligent Computing (2024).

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Ohio State University. "New machine learning algorithm promises advances in computing." ScienceDaily. ScienceDaily, 9 May 2024. <www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm>.

There’s a big problem faced by many organizations that are trying to unlock the promise of machine learning and artificial intelligence. The process of building and using machine learning architecture ...

This live event will explore the critical role of data fusion, machine learning and edge AI in enabling the Golden Dome’s ...

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