AI projects stumble not because of flawed algorithms but because the underlying data pipelines are weak or chaotic.

Data centers—used for data storage, processing, and training AI models—require large volumes of water for cooling.

U.S. AI may use as much electricity as 28 million households, with serious consequences for our water and climate.

Currently existing AI solutions, however, are able to rearrange the concept of how energy can be managed in properties. They ...

Google’s Research division has introduced new geospatial AI foundation models, that are trained on high-res satellite and aerial imagery.

President Trump's sweeping reciprocal tariffs could hamstring Big Tech's billion-dollar efforts to build AI infrastructure in ...

Artificial Intelligence is being applied to many areas of life, including forestry on the Colorado Plateau. A team at NAU is ...

"As they [Big Tech companies] try to build out AI data centers, this is going to have an effect on their ability to do so," CSIS director of strategic technologies Matt Pearl told Yahoo Finance.

Data science is one of the few fields resilient to the current federal budget pauses and reductions, says data scientist Chris Mattmann.

Earth-2 is a big technological achievement when ... software vendors to develop and deploy AI-augmented solutions and use observational data to make their solutions faster and more accurate.

Many of the big tech players offer free advice resources or more in-depth training. And don’t forget to build expertise in data ethics and brand safety. Critical thinking is also key.