eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

This coal plant in central Pennsylvania, once the largest in the state, was shuttered in 2023 after powering the region for over 50 years. Earlier this year, wrecking crews blasted the plant’s cooling ...

The effort is drawing bipartisan support and is expected to come up again next year as officials grapple with the artificial intelligence boom’s side effects. States facing drought and dwindling ...

Planned data center construction shows no signs of fading, with new additions to require 2.7x — nearly triple — the sector’s current demand for electricity over the next decade, according to a new ...

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly growing data-center industry. Critics note that Virginia hosts one of the ...

COWETA COUNTY, Ga. — Massive data centers proposed for metro Atlanta expect to use millions of gallons of water per day. Some of those data centers are planning to use more water than entire Georgia ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.

Abstract: Traditional machine learning approaches for biomedical time series analysis face fundamental limitations when integrating the heterogeneous data types essential for comprehensive clinical ...