Datasets of stained images depicting both normal and diseased tissues are valuable for training machine learning models, which can help doctors assess tricky cases and mitigate personal biases ...

A single plant costs U.S. ranchers $35 million a year. Now, a team of researchers is using artificial intelligence to keep it in check.

Explore the evolution of image annotation—from manual labeling to AI automation—powering innovations in healthcare, retail, ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

Researchers at Carnegie Mellon University, together with scientists at a conservation ranch in Montana, developed a method that trains machine learning models to detect invasive species more ...

WiMi's image classification system based on deep learning and machine learning models has a wide range of practical application scenarios, and it has a wide range of application prospects in ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Deep learning automation startup Deci AI Ltd. today announced the launch of a free and open-source artificial intelligence tool that can profile datasets for model training purposes.

Machine learning (ML), on the other hand, helps computers learn tasks and actions using training modeled on results from large datasets. It is a key component of artificial intelligence systems.