This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence ...

Watching hours of “sheepdog YouTube”—competitions where trained dogs shepherd a small number of unpredictable sheep—gave ...

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.

AI is already boosting positive outcomes in healthcare and holds promise for delivering many more. It is important, however, ...

Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...

AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, that deployment of AI tools—especially in a life-or-death health care ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Abstract: Reducing energy consumption has become a pressing need for modern machine learning, which has achieved many of its most impressive results by scaling to larger and more energy-consumptive ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

State Key Laboratory of Water Pollution Control and Green Resource Recycling, Key Laboratory of Yangtze River Water Environment of Ministry of Education, Shanghai Institute of Pollution Control and ...