The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep ...

To hear Silicon Valley tell it, artificial intelligence is outgrowing the planet that gave birth to it. Data centers will account for nearly half of U.S. electricity demand growth between now and 2030 ...

LANSING, Mich. (WLNS) — The owners of a data center company from the United Kingdom met with residents Saturday morning to discuss their proposal to create a 24 megawatt data center in downtown ...

Abstract: Building damage identification shortly after a disaster is crucial for guiding emergency response and recovery efforts. Although optical satellite imagery is commonly used for disaster ...

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...

Google released Gemini’s Deep Research feature in March, a few months after unveiling the tool, giving you the capability to ask the AI chatbot to create comprehensive reports on complex topics. Deep ...

Photoshop CC 2014 tutorial showing how to create a cloud-covered, planet, shrouded in shadow & illuminated at its horizon from a bright star in deep space from scratch.

In my August 2025 GPS World newsletter column, I highlighted that a colleague reminded me that the National Geodetic Survey’s (NGS) new National Spatial Reference System (NSRS) is more than a ...

Few things generate as much data as simply observing Earth from above. But Ryan Abernathey and Joe Hamman very quickly realized that all that data still wasn’t enough for their startup to thrive.