Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

She went from running a dry-cleaning shop in New Jersey to quietly igniting the deep learning revolution that powers today’s ...

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...

For most people, the image that comes to mind at the mention of archaeology is ancient tombs or dinosaur fossils, not cutting ...

The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood ...

Artificial intelligence (AI) is rapidly reshaping the landscape of leukemia diagnosis, offering new possibilities for earlier detection, more precise classification, and improved patient care, ...

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...

Oxford Instruments launches Imaris 11, boosting research productivity with clear workflow-driven image analysis for ...