The field of orthopedic surgery has seen a significant influx of data from various sources such as clinical records, ...

A group of researchers has developed and externally validated the first-ever predictive model to help clinicians identify ...

From predictive maintenance to excursion monitoring, AI is redefining yield management in multi-die assembly. When a ...

Jet-powered humanoid iRonCub achieves simulated flight stability, paving the way for disaster-response and advanced robotics applications.

Explore how AI in pharma manufacturing is being deployed with digital twins and predictive tools, which is reshaping CDMO ...

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

During the peer-review process the editor and reviewers write an eLife assessment that summarises the significance of the findings reported in the article (on a scale ranging from landmark to useful) ...

Abstract: As a typical batch production process, the rubber mixing process involves complex dynamics and significant fluctuations in results. Since the mixing temperature is key to product quality, ...

The power of AI models has long been correlated with their size, with models growing to hundreds of billions or trillions of parameters. But very large models come with obvious trade-offs for ...

Institute of Transplant Medicine, The Second Affiliated Hospital of Guangxi Medical University, Guangxi Clinical Research Center for Organ Transplantation, Guangxi Key Laboratory of Organ Donation and ...

A humanoid robot’s most significant advantage is the ability to perform a wide variety of tasks in highly constrained environments, according to a recent Agility Robotics blog post. The built world ...