It's poised to transform fields from earthquake prediction to cancer detection to self-driving cars, and now scientists are unleashing the power of deep learning on a new field - ecology.
A team of researchers from Harvard, Auburn University, the University of Wyoming, the University of Oxford and the University of Minnesota demonstrated that the artificial intelligence technique can be used to identify animal images captured by motion-sensing cameras.
Two New Jersey Institute of Technology (NJIT) researchers, working with collaborators from the IBM Research Zurich Laboratory and the École Polytechnique Fédérale de Lausanne, have demonstrated a novel synaptic architecture that could lead to a new class of information processing systems inspired by the brain.
ANN ARBOR--Nearly half of all men in a new study about intimate partner violence in male couples report being victims of abuse.
The study from the University of Michigan shows that in addition to universal stressors--finances, unemployment, drug abuse--that both heterosexual and male couples share, experiences of homophobia and other factors unique to male couples also predict abuse among them.
Last month alone, 23 percent of Americans took two or more prescription drugs, according to one CDC estimate, and 39 percent over age 65 take five or more, a number that's increased three-fold in the last several decades. And if that isn't surprising enough, try this one: in many cases, doctors have no idea what side effects might arise from adding another drug to a patient's personal pharmacy.
ARLINGTON HEIGHTS, IL (July 9, 2018) - Although about 10 percent of school-aged children in the United States have asthma, there are few comprehensive U.S. guidelines for treating pediatric asthma. The Pediatric Asthma Yardstick, a new guideline from the American College of Allergy, Asthma and Immunology (ACAAI), offers a user-friendly "operational document".
Phase change random access memory (PCRAM) has been successfully applied in the computer storage architecture, as storage class memory, to bridge the performance gap between DRAM and Flash-based solid-state drive due to its good scalability, 3D-integration ability, fast operation speed and compatible with CMOS technology. Focusing on phase change materials and PCRAM for decades, we have successfully developed 128 Mb embedded PCRAM chips, which can meet the requirements of most embedded systems.
Artificial intelligence (AI) holds real potential for improving both the speed and accuracy of medical diagnostics. But before clinicians can harness the power of AI to identify conditions in images such as X-rays, they have to 'teach' the algorithms what to look for.
Identifying rare pathologies in medical images has presented a persistent challenge for researchers, because of the scarcity of images that can be used to train AI systems in a supervised learning setting.
Designing new molecules for pharmaceuticals is primarily a manual, time-consuming process that's prone to error. But MIT researchers have now taken a step toward fully automating the design process, which could drastically speed things up -- and produce better results.
Drug discovery relies on lead optimization. In this process, chemists select a target ("lead") molecule with known potential to combat a specific disease, then tweak its chemical properties for higher potency and other factors.
Breathing in additional oxygen improves the function of blood vessels in the brain of people with breathing difficulties caused by lung conditions, according to new research published in Experimental Physiology. These findings could have implications for future research aiming to prevent the development of diseases affecting the brain, such as dementia.
CORVALLIS, Ore. - Nanofiber-based wound dressings loaded with vitamin D spur the production of an antimicrobial peptide, a key step forward in the battle against surgical site infections, or SSIs.
The findings by Oregon State University researchers and other collaborators, published Wednesday in Nanomedicine, are important because SSIs are the most common healthcare-associated infection and result in widespread human suffering and economic loss.