News by Subject Technology & Engineering

Factories in the future will definitely look different than today. As the fourth industrial revolution transforms manufacturing from mass production to mass customization, factory workers will increasingly need to apply new ICT to work remotely, collaborate with robots or use AI-based assistants, to increase their performance while developing further their creative, innovative and improvisational skills. Advanced technologies offer factory workers unprecedented opportunities to organize their jobs in a more autonomous way. Industrial work, jobs and skills are therefore being radically rethought.

Artificial intelligence has been used for the first time to instantly and accurately measure blood flow, in a study led by UCL and Barts Health NHS Trust published in Circulation.

In a study featured as the cover article appearing today in the journal Science Advances, a UCF research team showed that by combining two promising nanomaterials into a new superstructure, they could create a nanoscale device that mimics the neural pathways of brain cells used for human vision.

The paper, "Beyond Design and Use: How Scholars Should Study Intelligent Design Technologies," states that scholars and policymakers need to start thinking about it far more broadly if they want to have a say in what the future looks like.

An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes. This has been shown by a new study led by researchers at Linköping University, Sweden, published in Nature Communications. The scientists hope that the method can eventually be applied within precision medicine and individualized treatment.

A system created by MIT researchers could be used to automatically update factual inconsistencies in Wikipedia articles, reducing time and effort spent by human editors who now do the task manually.

US Army convoys could be made safer for soldiers by implementing autonomous vehicle technology to reduce the number of service members needed to operate the vehicles, according to a new study from the RAND Corporation.