To address these challenges, this paper proposes a personalized adaptability knowledge extraction strategy (PAKES) using cognitive diagnosis and reinforcement learning (RL). We apply the general ...

Thriving in the AI era requires intentional changes to workforce strategies, team skills and vendor relationships.

This paper presents experimental results from the application of a data-based model predictive decision support system to drug inventory management in the pharmacy of a mid-size hospital in Spain. The ...

OPM's plans for reforming federal employee performance management need to account for workers for whom annual performance ...

Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

Bitwarden, the trusted leader in password, passkey, and secrets management, today announced the launch of a new Model Context ...

Background Conceptual models have been developed to address challenges inherent in studying health information technology (HIT). Method This manuscript introduces an eight-dimensional model ...

By embracing the principles of localized intelligence and real-time AI processing, organizations across sectors can achieve ...

MemOS is a breakthrough "memory operating system" for AI that delivers 159% improvement in reasoning tasks and enables persistent memory.

For many years, the AI industry has focused on building larger language models (LLMs). This strategy delivered positive results. LLMs can now write complex code, solve math problems, and create ...