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…

A team has revamped the popular crop growth simulation software BioCro, making it a more user-friendly and efficient way to predict crop yield. The updated version, BioCro II, allows modelers to use the technology much more easily and includes faster and more accurate algorithms. «In the original BioCro, all the math that the modelers were…

A new deep learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could aid anesthesiologists and augment monitoring, according to a new study. In a special edition of Artificial Intelligence in Medicine, the team of neuroscientists, engineers and physicians demonstrated a machine learning algorithm for continuously automating dosing of the…

Whether a transformer catches fire in a power grid, a species disappears from an ecosystem, or water floods a city street, many systems can absorb a certain amount of disruption. But how badly does a single failure weaken the network? And how much damage can it take before it tips into collapse? «After a certain…

A research team says their new platform called ‘Transformative Electronics Systems’ will open a new class of electronics, allowing reconfigurable electronic interfaces to be optimized for a variety of applications. A team working under Professor Jae-Woong Jeong from the School of Electrical Engineering at KAIST has invented a multifunctional electronic platform that can mechanically transform…

Researchers have explored all COVID-19 research published during the initial phase of the pandemic. The results, which were achieved by using a machine learning-based approach, will make it easier to direct future research to where it is most needed. In the wake of the rapid spread of COVID-19, research on the disease has escalated dramatically.…

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 have successfully rebuilt the bridge between experimental neuroscience and advanced artificial intelligence learning algorithms. Conducting new types of experiments on neuronal cultures, the researchers were able to demonstrate a new accelerated brain-inspired learning mechanism. When the mechanism was utilized on the artificial task of handwritten digit recognition, for instance, its success rates substantially outperformed…

A researcher has developed a computer model of the human brain that more realistically simulates actual patterns of brain impairment than existing methods. The novel advancement creates a digital simulation environment that could help stroke victims and patients with other brain injuries by serving as a testing ground for hypotheses about specific neurological damage. A…

Researchers have developed a machine learning algorithm that classifies the sleep stages of mice with record accuracy. This work may be used to greatly enhance the field of sleep research. Scientists who study sleep often use mice as animal models to better understand the ways the activity in the brain changes during the various phases.…