Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...

OpenAI's Sam Altman says AI's water concerns are "totally fake." The truth about AI's impact on natural resources is more complicated. Macy is a writer on the AI Team. She covers how AI is changing ...

Electricity bills are rising around the US, but they're rising even more sharply in areas located near data centers, according to an investigation into power costs by Bloomberg. The price of wholesale ...

Add Futurism (opens in a new tab) Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Budget-wise, there have ...

Economic data releases that have lagged during the government shutdown likely will take some time to get rolling again once Congress is back in business. Assuming the government reopens before the end ...

Nov. 3 lecture features NC State's Dr. Julie Swann on Data, Decisions and the Drive to Optimize Health Systems The University of Delaware’s Alfred Lerner College of Business and Economics welcomes ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Companies across sectors have invested in AI at some of their new manufacturing sites. AI can help to increase production, predict machine breakdowns, and forecast demand. This article is part of "How ...

New York, NY [September 4, 2025]—A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...