A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

Innovative AI techniques in cement formulation lead to eco-friendly mixes, significantly cutting emissions and improving ...

We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of deep neural network. Compared with ...

Transforming manufacturing, digital twins integrate AI and real-time data, optimizing processes and enabling proactive ...

As the artificial intelligence arms race for talent heats up, one new San Francisco-based AI startup is reportedly dangling ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois ...

A Caltech-led team has developed a safe, effective, and painless breast imaging technique that incorporates machine learning to help differentiate between suspicious and healthy tissue.

Armed vigilante groups who take it upon themselves to police the border – often violently, and outside the law. They have ...

A Brigham Young University (BYU) student has used machine learning and math to improve a key tool that firefighters rely on ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to ...

Scientists and engineers at UNSW Sydney, who previously developed a method for making green ammonia, have now turned to ...