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 ...

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.

The intersection of machine intelligence and education has long promised to enhance learning, but Dr. Ranita Ganguly’s recent research injects fresh momentum into this vision. Her paper, “Expert ...

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

Archaeometry, a field that intersects multiple scientific disciplines, has become indispensable in analyzing the complex ...

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

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

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 ...

At TU Graz, a pioneering research group is leveraging artificial intelligence to drastically enhance the way nanostructures ...

Medical and public health professionals are acutely aware of the significant public health concerns posed by adverse events ...

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...