How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
InfoQ

Nuxt Introduces Native Request Cancellation and Async Handler Extraction for Performance Gains

Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and ...

The Future Of API Protection: Why Web And API Security Work Better Together

Modern security demands both the scale and performance of WAAP and the precision and lifecycle coverage of dedicated API ...

I'm 18 and founded an AI startup. I have to wake up at 3 a.m. to work on it before school, but it's worth every sleepless night.

Alex Yang details founding an AI startup with other high schoolers worldwide to improve Alzheimer's diagnostics.

How to master ChatGPT basics in under an hour - with my favorite free resources

The presenter does a really excellent job of explaining the value and power of ChatGPT's collaborative editing feature, called Canvas. He also has a creatively bizarre filming set with a pool table, a ...
InfoQ

ASP.NET Core in .NET 10: Major Updates across Blazor, APIs, and OpenAPI

Microsoft has detailed the major updates to ASP.NET Core arriving as part of last month's .NET 10 release. As reported, this ...
GitHub

gtrendshealth: Query the Google Trends for Health API

This package connects to the Google Trends for Health API to query Google Trends for projects authorized to use the health research data. It fetches a graph of search volumes per time within a set of ...
IEEE

Multi-Agent Collaboration for Vehicular Task Offloading Using Federated Deep Reinforcement Learning

Abstract: Mobile Edge Computing (MEC) distributes resources such as computing, storage, and bandwidth to the side close to users, which can provide low-latency services to in-vehicle users, thus ...
IEEE

Bridging the Reality Gap: Communication-Aware Task Allocation with Multi-Objective Asynchronous Policy Learning

Distributed task allocation in the UAV swarm is sensitive to excessive communication overhead and frequent transmissions. Combining reinforcement learning and task allocation demonstrates great ...