In a new book, Raymond Craib writes that libertarian attempts to escape regulation and build communities structured entirely through market transactions often have calamitous consequences for local populations.
Aaron Sachs’ new book, “Up from the Depths: Herman Melville, Lewis Mumford, and Rediscovery in Dark Times,” tells the interconnected stories of two important American writers, arguing that they show us how history can offer hope.
Eun-Ah Kim used a machine learning technique developed with Cornell computer scientists to analyze massive amounts of data from a quantum metal, setting the stage for future machine learning aided insight into new phases of mater.
Sending out an occasional and informative cosmic ping from more than 3.5 billion light years away, these quick-fire surges provide a pathway for scientists to comprehend the perplexing, mysterious and million-degree intergalactic medium.
A new Cornell study suggests that solving societal problems such as climate change could require dismantling rigid academic boundaries, so that researchers from varying disciplines could work together collaboratively.