Rebuilding Venezuela’s oil sector would be a long-cycle, capital-intensive process, not a rapid production restart.
As AI accelerates, leaders must fundamentally reimagine their digital operating model, harnessing AI as a catalyst to ...
Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will ...
Abstract: In industrial processes, accurate, real-time soft sensor modeling of key product indices is essential for optimal process control and improved product quality. However, the nonstationary ...
This is read by an automated voice. Please report any issues or inconsistencies here. ANKARA, Turkey — Turkey and Armenia have agreed to simplify visa procedures as part of efforts to normalize ties, ...
CNBC's Steve Liesman and Paul McCulley, former PIMCO chief economist, joins 'The Exchange' to discuss the upcoming Federal Reserve meeting, the path going forward and much more. Got a confidential ...
Abstract: Frequency-domain dielectric spectroscopy (FDS) has emerged as a critical nondestructive technique for diagnosing the insulation condition of power transformers due to its rapidity and ...
This blog post was authored by Mo Elsayed Senior Associate and Senior Building Performance Analyst, Page; Jill Kurtz, LEED AP BD+ C, Principal and Director of Building Sciences, Page; and Justin ...
The Bangsamoro peace process in the southern Philippines faces one of its most sensitive periods since the signing of the peace agreement in March 2014 between the Philippine government and the Moro ...
PEN America's report found 6,870 instances of book bans in 2024 and 2025. Books bans in public schools have become a "new normal" in the U.S., escalating since 2021, according to one advocacy group.
What looks to be Tesla’s long-rumored “more affordable model” has been spotted testing on a highway, without any camouflage. But before you get too excited, it’s just a Model Y with some cheaper parts ...
Reservoir modeling integrates geology, petrophysics, geophysics, PVT, and production data into a predictive, physics-based model to forecast fluid flow and optimize field development and operations.
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