The field of dynamic decision making encompasses the study of how individuals and groups process, learn, and adapt their decision strategies within fluctuating and temporally evolving environments. In ...

O bservation-Based Dynamic Reasoning, Forecasting, and Risk A ssessment O vercom ing the Inherent Limitations of Language-Centric and H uman-Mimicking AI M odels NEW YORK, Sept. 17, 2025 /PRNewswire/ ...

Sequential decision-making under uncertainty is a foundational topic in multiple fields - including economics, operations research, and computer science, built around the foundation of Markov decision ...

In today’s fast-evolving property management landscape, success depends on strategic, well-informed decisions. Rising competition, heightened tenant expectations and operational complexities have ...

ORLANDO, Fla.--(BUSINESS WIRE)--Gartner Supply Chain Symposium/Xpo - ParkourSC, a leader in AI-driven supply chain dynamic decision intelligence solutions, today announced it will be speaking at the ...

Data stands out as a key resource for retailers in the increasingly digital world. Businesses are generating more data than ever before, from transaction records and customer profiles to social media ...

FORT KNOX, KY – Leaders from the 244th Expeditionary Combat Aviation Brigade gathered around the table, plotted their air corridors, and collaborated in the preparation for their aerial assault ...

Have you ever found yourself buried under a mountain of Excel spreadsheets, painstakingly updating formulas every time new data comes in? It’s a common struggle, one that can turn even the most ...

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Conventional Artificial Intelligence (AI) systems, particularly Large Language Models (LLMs) and Large Multimodal Models (LMMs), primarily rely on language, pre-trained historical data, and mimicking ...