Former Federal Reserve Board Gov. Kevin Warsh discusses the significance of ADP ending data sharing with the Federal Reserve and the return of inflation data on ‘Maria Bartiromo’s Wall Street.’ ...

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a specialized imaging technique that looks for a change in the color of intense ...

WASHINGTON (AP) — The government shutdown that began Wednesday will deprive policymakers and investors of economic data vital to their decision-making at a time of unusual uncertainty about the ...

Policymakers, investors, businesses and government officials are eager for the latest look into the slowing U.S. job market. But they won’t be getting it until well after the federal government ...

FLORIDA – Missing data in a key state health report raised new questions about transparency from the Florida Department of Health. The Vaccine Preventable Disease Report, published monthly on the ...

President Donald Trump and his administration spent the last month portraying recently dreadful jobs data as a “scam” and an organized vendetta against his presidency. That effort hit a brick wall ...

The consumer-price index is due out on Tuesday morning, offering the latest insight into how President Trump’s tariff policies are feeding into price pressures. Here’s what to know: Prices likely rose ...

After months of fact-finding and correspondence with 50 state governments, Overdrive has for the first time in history revealed the true story of the rise of non-domiciled commercial driver's license ...

The Dragon Bravo Fire, ignited by lightning on July 4th within Grand Canyon National Park, destroyed approximately 100 structures, including 75 visitor cabins and the historic Grand Canyon Lodge.

Significant growth in AI is spurring unprecedented demand for new AI data centers. Power demand from AI data centers could grow more than thirtyfold by 2035. AI’s exponential growth should include ...

Abstract: Kernel-based subspace clustering, which addresses the nonlinear structures in data, is an evolving area of research. Despite noteworthy progressions, prevailing methodologies predominantly ...