Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research.
As a consequence of missing data on tests for COVID-19 infection and imperfect accuracy of tests, reported rates of cumulative population infection are lower than actual rates of infection.
A collaboration between researchers from Cornell, Northwestern University and University of Virgina combined complementary imaging techniques to explore the atomic structure of human enamel, exposing tiny chemical flaws in the fundamental building blocks of our teeth.
A multidisciplinary, Cornell-led team of scientists will study how plant pathogens that travel the globe with dust particles might put crops at risk, especially in places where people struggle to eat.
A new podcast on “Unsettled Monuments, Unsettling Heritage,” launched in the spring, showcases the work of the Public Life fellowship group, part of the humanities-focused Radical Collaboration initiative.
A team of Cornell researchers is exploring how digital agriculture could affect small and midsized farms, as well as its likely effect on the environment.
The Cornell Center for Materials Research is helping startup companies create new, innovative products by connecting them with university researchers while also boosting economic development in New York state.
Cornell researchers developed a new form of electron microscopy that uses complex algorithms to achieve faster, more efficient imaging – and they obtained the best results by defocusing their detector and blurring the beam.
Susan Daniel and Gary Whittaker discuss their collaborations and others across Cornell’s campuses that are working to better understand the COVID-19 virus.
