This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Electromagnetic Spectrum (EMS) operations in contested environments require battlefield assumptions based on mission dependent factors and complex ...
SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center New X100 Series Joins Upgraded X200, X300 and XM IP to Address Growing ...
Nvidia CEO Jensen Huang predicts data center spending will soar to $3 trillion to $4 trillion by 2030. The company dominates the data center GPU market, so it's well-positioned to profit from this ...
CNN data guru Harry Enten said on Tuesday that the gubernatorial races in New Jersey and Virginia are the “biggest flashing red siren signs” for President Donald Trump’s Republican Party. Enten ...
Not only will these technologies transform their industries, but they will also alter the way investors perceive their industries. Successful development of these technologies will significantly ...
SAN JOSE, Calif., Sept. 2, 2025 /PRNewswire/ -- Tredence, a global leader in data science and AI solutions, has been recognized as a Leader and a Star Performer in Everest Group's Data and AI Services ...
Syracuse football enters the 2025 season unranked in the AP Top 25, with cautious optimism around its ability to contend in the ACC. The Orange return several key starters on both sides of the ball, ...
The Sun’s most complex mysteries could soon be solved thanks to artificial intelligence. On August 20, IBM and NASA announced the launch of Surya, a foundation model for the sun. Having been trained ...
In 2018, Kenneth S Rogoff, professor of economics at Harvard University and a former chief economist at the International Monetary Fund, predicted bitcoin BTC $112,917.77 was more likely to be worth ...
Abstract: Reliable estimation of the time-varying covariance matrix of asset returns is indispensable for portfolio construction, risk budgeting, and automated advisory services. Conventional ...
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