Gravity is usually presented as the most familiar of nature’s forces, the quiet background pull that keeps feet on sidewalks ...

Abstract: Handling missing data is crucial in machine learning, but many datasets contain gaps due to errors or non-response. Unlike traditional methods such as listwise deletion, which are simple but ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Having data centers “visible in the night sky at dawn or dusk” presents a problem because some observers “rely on twilight to ...

This year not only stretched our industry, but exposed our fault lines.

Abstract: Blockchain technology has significant implications for data security and privacy. However, the decentralized structure of blockchain networks poses challenges for ensuring data security and ...

Many of today’s AI models are all about scale. They gobble up energy and demand constant increases in compute power to stay ...

We estimate income and taxes for the wealthiest group of US households by matching Forbes 400 data to the individual, business, estate, and gift tax returns of the corresponding group in 2010–2020. In ...

While AI can help make systems more efficient and reduce waste, its own energy needs are growing rapidly, creating an energy paradox. Beyond energy, AI’s environmental cost includes hardware ...

From massive solar panels to the difficulty of staying cool - not to mention high-energy radiation - there are a lot of ...

Over the past few years, Silicon Valley's AI blitz has created skyrocketing demand for high-end computation in vast dedicated ...

Theodore Kury is the Director of Energy Studies at the University of Florida’s Public Utility Research Center, which is sponsored in part by the Florida electric and gas utilities, the Florida Public ...