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.

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.

XTX Markets invests €1 billion in five data centers in Finland, leveraging green energy to enhance machine learning ...

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 ...

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 ...

Shyamakrishna Siddharth Chamarthy is an innovative engineer and researcher specializing in healthcare technology, robotics, ...

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 ...

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 ...