A recent study presents a radiative transfer model-driven machine learning technique for retrieving carbon monoxide from the world's first hyperspectral Geostationary Interferometric Infrared Sounder (GIIRS) onboard Fengyun-4B (FY-4B) satellite,

According to the U.S. Department of Energy, data centers consume anywhere from 10 to 50 times more energy than a typical commercial building and account for about 2% of total U.S. electricity consumption. As a result of AI, demand for energy is expected to nearly double or even triple in the next few years.

The hyperscaler signed a deal with Orbital Materials and made infrastructure updates to boost data center sustainability and energy efficiency.

“Mega forces,” including the rise of artificial intelligence and the ongoing transition to low-carbon energy, are transforming global economies and reshaping their long-term trajectories, said BlackRock in its market outlook for 2025 released on Dec. 4.

The surge in adoption of renewable energy driven by carbon neutrality policies has created operational challenges for large thermal power plants. These

Meta is turning to nuclear energy to power its AI ambitions with the release a request for proposals to partner with nuclear energy developers.

Chip designer Nvidia, which skyrocketed into one of the most valuable companies in the world this year, has also ramped up efforts to become more energy efficient. Its next-generation AI chip, Blackwell, unveiled in March, has been marketed as being twice as fast as its predecessor, Hopper, and significantly more energy efficient.

The U.S. simply does not have enough labor or materials needed to prepare its infrastructure for an uncertain future, writes Autodesk CEO Andrew Anagnost.

Liquid cooling, renewable diesel, and a host of infrastructure changes make Amazon's cloud service four times more efficient than on-premise computing, the company explains at re:Invent.

Amazon’s data centers could soon double as carbon capture machines, offsetting the harmful effects of the massive amounts of energy required to run them.

AI's energy consumption is growing, but demand for more power is also coming from manufacturing and electric cars.