To the Editor: At this time of year I find myself standing in various lines waiting my turn to purchase gifts or mail packages. Recently I spent some time in line listening, not by choice, to a rather ...
This workshop will introduce the importance of identifying, understanding, and addressing implementation barriers and facilitators. It will also feature a review of common methods of data collection ...
Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...
DALLAS—The last time Southwest Airlines changed its boarding process, nearly 20 years ago, it launched an online boarding school to teach passengers the basics. This time, travelers might need a ...
More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...
What Amazon learned when it automated the creation of product pages. by Stefan Thomke, Philipp Eisenhauer and Puneet Sahni For all the enthusiasm around generative AI, there’s a hurdle that is ...
In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...
The police surveillance company Flock has built an enormous nationwide license plate tracking system, which streams records of Americans’ comings and goings into a private national database that it ...
They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...
This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...
Abstract: In this article, a deep-learning (DL) algorithm is proposed to efficiently predict the pattern of the antenna array. By establishing the Bayesian-optimized convolutional neural network (CNN) ...