This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

Gemini in Google Sheets is getting smarter with the ability to build and edit spreadsheets, populate missing data, and uncover insights.

Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...

ChatGPT is now using its 5.4 Thinking model for deeper reasoning, and it's even better at handling "professional work." ...

Students using AI to cheat on homework or tests is a source of much discussion. But some scholars argue the greater risk of ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

This case study can provide practical instruction to students and entry-level accounting staff in key issues of state corporate income tax.

Abstract: Task assignment in a dynamic and uncertain environment for a team of robots is indeed a challenging problem. Traditional task assignment techniques have often struggled to effectively manage ...

Housing prices across much of America have hit historic highs, while less housing is being built. If the U.S. housing stock had expanded at the same rate from 2000-2020 as it did from 1980-2000, there ...

This study is Pew Research Center’s latest effort to explore the landscape of teens and technology today. It focuses on artificial intelligence – from how teens use chatbots to how they think about AI ...