Machine learning (ML) may assist human decision-makers in high-risk situations. For example, an ML model might forecast which law school applicants have the greatest chances of passing the bar exam and help an admissions officer choose which students should be admitted. Some even found out that ML systems could detect

Although machine learning (ML) has helped make blood cell counts more accurate and less costly, it has nevertheless been time-consuming because of the need for a lot of manual annotation by humans to train the model. Researchers at Benihang University, on the other hand, have developed a new training method

A new research collaboration between China and the US offers a way of detecting malicious ecommerce reviews designed to undermine competitors or facilitate blackmail by leveraging the signature behavior of such reviewers. Machine learning algorithm has managed to detect PMUs The paper describes how a system called the malicious user

A new study discovers that an undetectable backdoor may be inserted into any machine learning algorithm, giving a cybercriminal unrestricted access and the ability to modify any of the data. The source of serious vulnerabilities may be outsourcing machine learning training vendors. Learning from experiences is something people and animals

Researchers have now trained a machine learning system to detect earthquakes using tiny gravitational signals, showing how they may be used to pinpoint the position and extent of a major quake in near-real-time. Earthquakes have the power to alter Earth’s gravitational field at a colossal scale. Scientists say this is

A new machine learning framework developed at the U.S. Department of Energy’s Brookhaven National Laboratory can hone in on which parts of a multistep chemical conversion should be altered to increase productivity. The technique may assist researchers in determining the shape of catalysts, also known as chemical dealmakers that speed