By applying scientific principles used to create models for understanding cell biology and physics to the challenges of cosmology and big data, Cornell researchers have developed a promising algorithm to map a multifaceted set of probabilities.
Cornell researchers have made a new discovery about how seemingly minor aspects of the internal structure of bone can be strengthened to withstand repeated wear and tear, a finding that could help treat patients suffering from osteoporosis and create durable, lightweight materials.
Cornell researchers have discovered a way to accelerate photons using four orders of magnitude less energy than existing methods, paving the way for ultraviolet lasers that can capture processes lasting a quintillionth of a second.
Arthur Ashkin, Ph.D. '52, whose invention of optical tweezers revolutionized the way scientists can study and manipulate biological systems, has won a share of this year's Nobel Prize in physics.
Satellite images revealing an Arctic ice cap destabilizing at “unexpected and unprecedented” speed have scientists questioning the stability of some polar ice caps.
Cornell engineers have created a synthetic vascular system for soft robots capable of pumping an energy-dense hydraulic liquid that stores and deploys energy in an integrated design.
A Cornell-led team has developed a way to use machine learning to analyze data generated by scanning tunneling microscopy, yielding new insights into how electrons interact and showing how machine learning can be used to further discovery in experimental quantum physics.