They created a mobile application that uses a telephone camera and machine-learning algorithms to ascertain the antibiotic susceptibility of bacteria with a highly scalable approach. 9 First, the ...

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

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

By Paul McClure June 15, 2023 Researchers have developed a machine-learning model to identify chemicals that may combat aging Depositphotos View 1 Images ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

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

But with the recent rise of generative AI tools like Chat GPT, which run on large language models (LLM), and the image-making system DALL-E 2, companies have taken to training their algorithms on ...