In a disaster, every second is critical. Large-scale disasters, such as earthquakes, hurricanes, and landslides, often involve trapped or stranded survivors in need of rescue, and locating them as ...

Abstract: In recent years, Graph Neural Networks (GNNs) have emerged as a powerful tool for learning on graph-structured data, achieving significant success across various fields. Most existing GNNs ...

To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...

Ponzi-style MLM smart contracts pay commissions exclusively from new participant deposits rather than external revenue, creating an inevitable collapse once recruitment slows. Hidden backdoors, such ...

Expert Opinion Real Estate Foreclosure Auction; Action for Partition; Non-Payment Proceeding: This Week in Scott Mollen’s Realty Law Digest Scott Mollen discusses “East Sunrise Management Inc. v.

Programming industrial robots is a labor-intensive process that often depends on teach pendants, offline tools, and trial-and-error. Coordinating multiple robots in ...

An electronic warfare (EW) team in a hide site deep in the woods notices a suspected enemy frequency. At the same time, an aerial EW platform using the same equipment finds the same signal. With both ...

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...

In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...