At a university that prizes intellect and information, Duke students have grown comfortable absorbing injustice as fact ...

These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.

Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...

Quantum computers can outperform their classical counterparts at some tasks, but the full scope of their power is unclear. A new quantum algorithm hints at the possibility of far-reaching applications ...

Zach began writing for CNET in November, 2021 after writing for a broadcast news station in his hometown, Cincinnati, for five years. You can usually find him reading and drinking coffee or watching a ...

It might not seem like there's enough information to solve these logic puzzles—but that's part of the fun!

There’s an art and a science to picking a good starting word for Wordle. Here are my suggestions for the best starters—and ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

We use Reinforcement for solving Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP). For running the trained model for inference, it is possible to turn off the training mode. For ...