A review published in National Science Review highlights recent progress at the intersection of machine learning and quantum ...

Despite advancements in hardware, AI, and machine learning, deploying robots in dynamic, real-world settings—and getting them to do what we want—remains difficult. Cristian-Ioan Vasile, an assistant ...

Most CPG brands, distributors, outlet stores, and other participants in the supply chain have already seen the need for a supply chain control center. But do we also now need a control tower for ...

Legacy control systems can’t keep up with current manufacturing demands. However, scalable, AI-enabled platforms with ...

For telcos, managing the complexity of modern networks has outpaced human capacity. The explosion of data and increasing ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics ...

Using machine learning methods, the researchers examined the association of patients' baseline characteristics, clinical- and treatment-related factors and socio-economic status with glycemic control.

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...