Effective error recovery mechanisms are essential for robotic construction, allowing for real-time problem-solving in dynamic ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Neuron Factory, Inc., a company founded by technology leaders from Microsoft and Waymo, today announced a strategic ...

Mirofish AI is blowing up with its swarm-based predictions. Is it a breakthrough or just AI sounding smart again?

Abstract: The industrial flotation process involves multimodal data and cross-procedural knowledge, presenting significant challenges for knowledge system management and traditional knowledge graph ...

EmeraldGraph, a domain-specific Knowledge Graph, its schema and the full pipeline for its construction EmeraldDB, a document store extracted from ESG reports for text-based retrieval Claim grounding, ...

The translation of India's extensive traditional knowledge on indigenous medicinal plants into modern therapeutic solutions is contingent upon a systematic framework. While traditional Indian medicine ...

ABSTRACT: In today’s data-driven business environment, small and medium-sized enterprises (SMEs) struggle to implement effective knowledge management (KM) due to limited financial, technical, and ...

This paper investigates the integration of Large Language Models with Knowledge Graphs (LLM-KGs) into the pedagogical framework of higher education, specifically within innovation and entrepreneurship ...

DICE (Domain-Integrated Context Engineering) extends context engineering by emphasizing the importance of a domain model to structure context, and considering LLM outputs as well as inputs. Despite ...