Natural phenomena and biological mechanisms can be great sources of inspiration for scientists developing mathematical approaches, computer systems and robots. Over the past few decades, research has repeatedly proved the value of replicating behaviors observed in...
Medicine & Healthcare
Exploring neural mechanisms behind the perception of control in stressful situations
Findings collected during several decades of research in the fields of psychology and neuroscience suggest that the perception of control during stressful events can have striking and long-lasting effects on the behavior of humans and some animals, including rodents....
A perspective on the study of artificial and biological neural networks
Evolution, the process by which living organisms adapt to their surrounding environment over time, has been widely studied over the years. As first hypothesized by Darwin in the mid 1800s, research evidence suggests that most biological species, including humans,...
Highly sensitive pressure sensors for robotics and healthcare applications
Microscopic sensors that can detect small changes in pressure have numerous useful applications, particularly for the development of robots and health-monitoring wearable devices. Most existing capacitive and transistor-based pressure sensors, however, have a number...
Exploring why mindfulness meditation has positive mental health outcomes
Over the past few decades, mindfulness meditation has become increasingly popular, particularly as a tool to reduce stress or anxiety and gain a greater sense of wellbeing. While many empirical studies have confirmed that regular meditation, especially mindfulness...
AI Could Predict Your Lifespan
Researchers have developed artificial intelligence tools that may help to identify health problems faster and more efficiently.
A new machine learning model to isolate the effects of age in predicting dementia
Researchers at Toronto-based company WinterLight Labs have recently devised a machine learning method of predicting dementia that prioritizes particular variables when analyzing data, which could help to isolate the effects of potentially confounding factors.