Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. ... such as image classification and speech recognition, ...

For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification algorithm that performed 8 percent better than current state ...

Image processing is used in a variety of use cases today, including visualisation, pattern recognition, segmentation, image information extraction, classification, and many others. Image processing ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

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 algorithms build a model based on sample data, ... Image Classification. As hosts can upload images for their properties, Airbnb found that a lot of images were mislabeled.

A new machine-learning technique has significantly reduced noise in images taken by scanning transmission electron microscopy (STEM). Developed by researchers in Ireland, the algorithm could make it ...

In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...

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 ...