Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Abstract: This paper addresses the dynamic task assignment problem for multiple uncrewed aerial vehicles (UAVs) operating under weak communication. Existing learning-based methods face two primary ...

Agentic Context Engine learns from your agent's successes and failures. Just plug in and watch your agents improve.

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

Abstract: With the increasing number of devices, the demand for data computation is growing rapidly. In edge-cloud collaborative computing, tasks can be scheduled to servers as interdependent subtasks ...

Forbes contributors publish independent expert analyses and insights. Jean Eddy is the Executive Chair of American Student Assistance. In this third and final article on the report, we’ll highlight ...

As part of my Simply Explained series, I’ve been covering a range of student-centered instructional approaches, from project-based learning to experiential and inquiry-based learning. Today, I cover ...