A new statistical model may help scientists understand how animals make inferences about whether their surroundings are novel or haven't changed enough to be regarded a new context.
A material composed of two one-atom-thick layers of carbon has grabbed the attention of physicists worldwide for its intriguing -- and potentially exploitable -- conductive properties. University of Texas at Dallas physicists are studying how the ability of twisted bilayer graphene to conduct electrical current changes in response to mid-infrared light.
At Japan Advanced Institute of Science and Technology, researchers have successfully established relationships between games and law of motions in mind through analogy of physics and game refinement theory.
Skoltech scientists have shown that quantum-enhanced machine learning can be used on quantum (as opposed to classical) data, overcoming a significant slowdown common to these applications and opening a "fertile ground to develop computational insights into quantum systems".
Mathematicians propose ideas that make it possible to perform much more effective climate simulations than the traditional approach allows.
A breakthrough in fertility science by researchers from Bristol and Mexico has shattered the universally accepted view of how sperm 'swim'.
New research from Virtual Joint Statistical Meetings 2020 includes applications to COVID-19, sports, forensic science, AI, social media emoticons, climate change, stock market, criminal justice, undocumented immigrants, algorithmic fairness, US census, precision medicine, opioid crisis, and more. Complementary press registration is available.
North Atlantic atmospheric pressure patterns, the key driving force behind winter weather in Europe and eastern North America, are highly predictable, enabling advanced warning of whether winters in the coming decade are likely to be stormy, warm and wet or calm, cold and dry. Insights and perspectives from a pivotal study on Nature, with the contribution of the CMCC Foundation.
By modeling experimentally measured characteristics of cells infected with hepatitis C in the lab, researchers in Japan found that one virus strain was roughly three times more likely to use copied genetic code to create new viruses compared to another, which instead tended to keep more copies inside an infected cell to accelerate replication. Understanding specific strategies adopted by viruses through such modeling could aid the development of effective therapeutic methods.
With communities throughout the United States combating surges in COVID-19 cases and hospitalizations, researchers at The University of Texas at Austin and Northwestern University have created a framework that helps policymakers determine which data to track and when to take action to protect their communities. The model specifies a series of trigger points to help local entities know when to tighten social distancing measures to prevent hospitals from being overrun by virus patients.