Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how ...

Some tech leaders are concerned that the artificial intelligence race will exhaust available land and energy. The solution might lie in orbit. Credit...Soña Lee Supported by By Eli Tan and Ryan Mac ...

More than $61 billion has flowed into the data center market so far this year. Hyperscalers are increasingly turning to outside capital in the form of debt to fund the energy-intensive infrastructure.

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...

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 ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

Electricity prices are surging, voters are growing angry, and the artificial intelligence industry's data centers are increasingly a target for blame with U.S. mid-term elections on the horizon.

As artificial intelligence drives the need for vastly more computing storage and processing power, interest in space-based data centers has spiked. Although several startup companies, such as ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.