Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses.Real-time data analysis helps farm ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
According to the UN Food and Agriculture Organization (FAO), up to 40 per cent of crops globally are lost each year to pests ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
NTT DOCOMO BUSINESS, Inc. has entered into an exclusive distribution agreement with U.S.-based facility management SaaS leader 24/7 Software, ...
Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Smithsonian Magazine on MSN
A Robot Is Unraveling the Secrets of How Some Bats Bounce Sound Waves Off Leaves to Find Insect Prey
A new study from the Smithsonian Tropical Research Institute used a robot to mimic common big-eared bats' echolocation skills ...
A study led by a University of Calgary researcher has come up with an AI-based early detection system for river-borne pathogens — including whirling disease in trout and salmon. The study ...
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