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The authors review the advantages and future prospects of neuromorphic computing, a multidisciplinary engineering concept for energy-efficient artificial intelligence with brain-inspired functionality.
This Perspective examines the global production ecosystem through the lenses of connectivity, diversity and feedback, and proposes measures that will increase its stability and sustainability.
The authors discuss the potential for sex and gender analysis to foster scientific discovery, improve experimental efficiency and enable social equality.
HuBMAP supports technology development, data acquisition, and spatial analyses to generate comprehensive molecular and cellular three-dimensional tissue maps.
A method of tracking changes in estimates of the remaining carbon budget over time should help to reconcile differences between these estimates and clarify their usefulness for setting emission reduction targets.
This Perspective discusses the challenges associated with the prediction of chemical synthesis, in particular the reaction conditions required for organic transformations, and the role of machine-learning approaches in the prediction process.
Over ten years, the Human Microbiome Project has provided resources for studying the microbiome and its relationship to disease; this Perspective summarizes the key achievements and findings of the project and its relationship to the broader field.
Three years of investigation by a multi-disciplinary team into claims of ‘cold fusion’ found no evidence that the phenomenon exists, but identified a parameter space potentially worthy of further exploration.
Complex Earth system challenges can be addressed by incorporating spatial and temporal context into machine learning, especially via deep learning, and further by combining with physical models into hybrid models.
