If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

Abstract: Intelligent Transportation Systems (ITS) occupy a pivotal position in the contemporary societal landscape, with one of their widespread applications being the vehicle routing problem, ...

Learn how to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the theory, coding process, and practical examples for solving linear systems.

Algorithms, which are just sets of instructions expressed in code, are harder to restrict than physical goods. But governments, including the U.S., have long tried to prevent their export. The ...

This has been a roller coaster year for the S&P 500, Nasdaq Composite, and Dow Jones Industrial Average, with all three enduring a mini-crash and a rip-roaring rally to new highs. A new ...

On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...

In an interview with Harvard Law Today, Noah Giansiracusa explains how companies deploy what some call "dynamic" or “surveillance pricing,” using individual customers' data as a primary algorithmic ...

AI upstarts were supposed to lay siege to Google’s search-engine dominance. So far, the defense is winning. Google’s ubiquitous search tool has proven surprisingly resilient to competition from the ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...