Frameworks like Spring Boot remain dominant in backend and microservices development thanks to mature ecosystems and extensive support. Cloud-native Java frameworks such as Quarkus and Micronaut focus ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Get started with Java streams, including how to create streams from Java collections, the mechanics of a stream pipeline, examples of functional programming with Java streams, and more. You can think ...

Microsoft Killed Off Windows 10 Support. Here's How to Get It Free for Another Year Effective Oct. 14, Microsoft no longer supports Windows 10, but there are three ways to extend critical security ...

Inspired by the Penicillin, a modern classic, this frozen cocktail balances smoke, honey, and lemon. Prairie Rose is Food & Wine's senior drinks editor. A trained sommelier, cocktail book author, and ...

Social network X has changed its developer agreement to prevent third parties from using the platform’s content to train large language models. In an update on Wednesday, the company added a line ...

Objective: This study aims to assess the accuracy and quality of Subjective, Objective, Assessment, and Plan (SOAP) notes generated by ChatGPT-4, an AI model, using established transcripts of History ...

Located above Ogawa Sushi & Kappo, an unassuming omakase restaurant in Philadelphia’s Old City neighborhood, is a similarly discreet cocktail spot, an apothecary-like bar serving Japanese cocktails ...

A year ago, I wrote a piece here about how people were really using gen AI. That article seemed to hit a note: It was popular, featured in viral posts, and the beautiful accompanying infographic has ...

Creating effective bar charts, line graphs and other presentation visuals takes skill — unless you use artificial intelligence to handle the heavy lifting. Columns AI takes your data and automatically ...

Abstract: Graph clustering is a popular method to understand networks and make them accessible for downstream Machine Learning tasks. Especially for large networks, the results of graph clustering are ...