University of Illinois Urbana-Champaign researchers use frontal polymerization to manufacture environmentally-adaptive multifunctional materials in a matter of minutes instead of days.
Why we dream is a divisive topic within the scientific community, and the neuroscience field is saturated with hypotheses. Inspired by techniques used to train deep neural networks, Tufts University neuroscience researcher Erik Hoel (@erikphoel) argues for a new theory of dreams: the overfitted brain hypothesis. The hypothesis, described May 14 in a review in the journal Patterns, suggests that the strangeness of our dreams serves to help our brains better generalize our day-to-day experiences.
Input one, output one; input two, output two; input three; output purple --what kind of system is this? Computer algorithms can exist as non-deterministic systems, in which there are multiple possible outcomes for each input. Even if one output is more likely than another, it doesn't necessarily eliminate the possibility of putting in three and getting purple instead of three. Now, a research team from USA has developed a way to control such systems with more predictability.
A study from the University of Maryland shows higher app adoption among hotel chains could be linked to lower spending among lower-level loyalty customers, who are more likely to use apps to get the best deals.
Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications.
Network scientists from Beijing Normal University and Bar-Ilan University address the effect of team freshness on the originality and multidisciplinary impact of produced work, by systematically investigating prior collaboration relations between team members. Among other things their study, published in Nature Human Behaviour, reveals that papers of fresher teams are significantly more effective than those of older teams in creating studies of higher originality and greater multidisciplinary impact.
St. Petersburg, like other cities in the Russian Federation, is actively participating in the establishment of the "Smart City" program, which will provide new services for residents of the megalopolis, increasing the safety of citizens. Digital services are essential for such a system. Due to the Internet of Things (IoT) systems, the environment can adapt to the needs of humanity on its own accord. Cybersecurity threats are especially dangerous for such infrastructure.
While video games can be engaging, some have a higher potential of becoming addictive. However, the mechanisms underlying this addiction are difficult to analyze mathematically. Now, researchers from JAIST, Japan apply the concept of "motion in the mind" to investigate the subjective aspects of different games via analogies with physical models of motion. Their findings explain what makes certain videogames more addictive by nature and will help us tailor games better for specific purposes.
Single-photon imaging is the future of high-speed digital photography and vastly surpasses conventional cameras in low-light conditions. However, fixing the blurring caused by the motion of independent objects remains challenging. Recently, researchers at Tokyo University of Science developed an innovative deblurring approach that accurately estimates the motion of individual objects and adjusts the final image accordingly. Their strategy produces high-quality images even in complex dynamic scenes and may find applications in medicine, science, and security.
Climate change, a pandemic or the coordinated activity of neurons in the brain: In all of these examples, a transition takes place at a certain point from the base state to a new state. Researchers at the Technical University of Munich (TUM) have discovered a universal mathematical structure at these so-called tipping points. It creates the basis for a better understanding of the behavior of networked systems.