Advances in AI technology are sending shockwaves through the power grid. The latest generation of large language models requires significantly more computing power and energy than previous AI models.

In the US, demand for power from AI data centers is skyrocketing, driven by the intensive computational requirements of its models. Will it let up?

AI appliances are here and ready to make your home work smarter, not harder. We spoke with Samsung's EVP to learn more.

is reshaping the Voluntary Carbon Market (VCM) with its use of artificial intelligence (AI). By integrating AI-powered insights with advanced carbon assurance and management, Greenomix is moving beyond traditional carbon credit markets and pioneering a new ...

Optimizing Energy Efficiency AI-powered systems can monitor and analyze real-time data to optimize power plant efficiency. By identifying inefficiencies in processes like fuel combustion, turbine operation,

Microsoft pledged to be carbon-neutral by 2030, but the company’s emissions have risen 40% since 2020, as AI fuels the next tech race.

“Trump will definitely slow down climate progress,” said Andy DeVries, an analyst for CreditSights Inc. The power demand from data centers, however, will have an even bigger impact, he said. “It just comes out to math. If these data center demand figures are anywhere near realistic, you don’t have the ability to retire coal plants.”

The enormous electricity needs of artificial intelligence are driving plans for scores of new fossil fuel plants with decades of expected service life.

Artificial intelligence (AI) has become a transformative force, reshaping industries and redefining the boundaries of innovation. Central to this revolution is the Graphics Processing Unit (GPU), a specialized hardware component that has transitioned from its original role in rendering graphics to becoming the powerhouse behind AI computations.

Healthcare professionals and administrators must use GenAI tools more efficiently and responsibly to harness the benefits while minimizing environmental impact.

By incorporating AI, robotics and vertically stacked crops in controlled environmental conditions, this farming model may change agriculture entirely.

Juna.ai wants to help factories become more efficient by automating complex industrial processes using AI agents.