An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs in wastewater treatment plants and inside the human body.
Mathematicians studied the flow of human crowds and developed a way to predict when pedestrian paths will transition from orderly to entangled. Their findings may help inform the design of public spaces that promote safe and efficient thoroughfares.
Researchers have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints. This enables teachers to provide significantly more children with individualized support.
A team of researchers created Morpho, an open-source programmable environment that enables researchers and engineers to conduct shape optimization and design for soft materials. Applications can be for anything from artificial hearts to robot materials that mimic flesh and soft tissue.
Growing library of books selected from the University of Michigan mathematics collection that have been digitized to improve access and to preserve the content of these books. All of the books in this collection were published in the 19th or early 20th century.
A database created by a consortium of European universities, research institutes, and librariesfrom nine countries with a goal to create a unified and comprehensive access point for the digital mathematical collection of the entire continent.
A collection of links to information, opinion, activism, and other issues concerning the practices of research journal publishers (particularly in the mathematical sciences).
