In letters to consultants and the College Board, House and Senate Judiciary leaders invoked antitrust law and asked how student data feeds pricing algorithms. By Ron Lieber Ron Lieber welcomes ...

COLUMBUS, Ohio (WCMH) — The Public Utilities Commission of Ohio rejected a bid from Amazon, Google and others to overturn AEP’s new tariff, or rate structure, specifically for data centers. Amazon and ...

I asked my editors if I could go work at a tech startup. It was an unusual request. But I wanted to learn to vibe-code. My need to know felt urgent. I wanted to survive the future. The pitch process ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.

A new wave of “reasoning” systems from companies like OpenAI is producing incorrect information more often. Even the companies don’t know why. Credit...Erik Carter Supported by By Cade Metz and Karen ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.