Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current. The technology has been demonstrated successfully in rats and is designed for use as a research tool. «Our goal was to create a research tool that can…

Researchers employed generative adversarial networks to more accurately construct datasets for aerial images of building that are obscured by clouds. This work may lead to improved image recognition algorithms. Machine learning is a powerful method for accomplishing artificial intelligence tasks, such as filling in missing information. One popular application is repairing images that are obscured,…

Randomized clinical trial shows that engaging in virtual reality can significantly reduce pain and anxiety in children undergoing intravenous catheter placement. For nearly two decades, Jeffrey I. Gold, PhD, an investigator at The Saban Research Institute of Children’s Hospital Los Angeles, has been investigating the use of virtual reality (VR) as a technique to help…

Rapid and accurate identification of mosquitoes that transmit human pathogens such as malaria is an essential part of mosquito-borne disease surveillance. Now, researchers have shown the effectiveness of an artificial intelligence system — known as a Convoluted Neural Network — to classify mosquito sex, genus, species and strain. Human malaria is an ongoing public health…

Novel software for grouping immunological T-cell receptors may enable the identification of shared patterns that could be used to determine if a person has previously been infected or vaccinated against a given pathogen. While tests measuring antibodies against a pathogen are often used to detect signs of a previous infection, it is more difficult for…

A deep-learning algorithm developed by researchers is designed to help machines navigate in the real world, where imperfect or ‘adversarial’ inputs may cause uncertainty. Take collision avoidance systems in self-driving cars. If visual input to on-board cameras could be trusted entirely, an AI system could directly map that input to an appropriate action — steer…

Random bit sequences are key ingredients of various tasks in modern life and especially in secure communication. In a new study researchers have determined that generating true random bit sequences, classical or quantum, is an impossible mission. Based on these findings, they have demonstrated a new method of classified secure communication. The mathematical definition of…

If you believe that great scientists are most creative when they’re young, you are missing part of the story. A new study of winners of the Nobel Prize in economics finds that there are two different life cycles of creativity, one that hits some people early in their career and another that more often strikes…

First-ever biologically authentic computer model was completed of the HIV-1 virus liposome. Key finding from the simulations is the formation of sphingomyelin and cholesterol rich microdomains. HIV-1 is known to preferentially bud from regions of the host cell membrane where these constituents are in high abundance. Scientists are hopeful this basic research into viral envelopes…

Researchers have developed a system based on computer vision techniques that allows automatic analysis of biomedical videos captured by microscopy in order to characterize and describe the behavior of the cells that appear in the images. These new techniques developed by the UC3M engineering team have been used for measurements on living tissues, in research…