A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of Jerusalem has developed a novel machine learning model employing hyperspectral ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...

Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.

Researchers at the Johns Hopkins APL have found a way to use machine learning to improve defect detection for LPBF.

Scientists at the Indian Institute of Technology Delhi recently created a new machine learning (ML)-based tool for process verification during process chromatography unit operations.

In a pivotal advancement addressing the pervasive issue of pricing opacity in the U.S. healthcare system, Santhosh Kumar ...

This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...

In the research, they analyze the two challenges of learning from time series data with noisy labels: (a) Label noise in time ...

Proteins play a crucial role in nearly all biological processes, yet predicting their complex interactions and designing ...

So, what is machine learning in the first place? And if the machines are so smart, why are they still so dumb? The point of ...