Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a machine ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.