Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research.
New York City residents are four times more likely to choose a store where shoppers respect 6 feet of distancing than one where no one is social distancing, according to a Cornell experiment using 3D simulation.
Avalanche, a new blockchain platform built around research first conducted at Cornell, raised $42 million in less than five hours during the first public sale of its digital currency token, held July 15.
In a new paper, Cornell Tech researchers identified a problem that holds the key to whether all encryption can be broken – as well as a surprising connection to a mathematical concept that aims to define and measure randomness.
Engineering Professor Stephen Wicker chats with Dipayan Ghosh, Ph.D. ’13, who was an advisor at the White House and then a researcher at Facebook before writing a new book about digital privacy issues.
Cornell researchers have designed the first wrist-mounted device that successfully and continuously tracks finger movements without the use of external cameras.
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.
A team of Cornell researchers used AI to investigate what sets originals apart from their reflections, and their algorithms learned to pick up unexpected clues.
