Today, PAI brings a new model – transparent, data-driven and SDG-aligned, to the heart of rural administration. Launched by ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Your star employee just quit, and with them went the institutional knowledge behind your company’s most profitable product line. The decisions that led to its success? Lost forever. This scenario ...

Abstract: Steel production is one of the major focuses of Vietnamese government’s industrial development plans in the last few decades and the industry has experienced sustained growth where ...

Abstract: Robotaxis tend to hesitate when encountering obstacles with uncertain future trajectories because their decision-making strategies are overly cautious, aiming to ensure robust safety. To ...

Researchers at Helmholtz Munich have unveiled Centaur, an AI language model trained on over ten million decisions from psychological experiments, which emulates human choice patterns and reaction ...

Have you ever wondered how artificial intelligence seems to “think”? Whether it’s crafting a poem, answering a tricky question, or helping with a complex task, AI thought process systems—especially ...

Background: The classic Dual Process model posits that decision-making is determined by the interplay of an intuitive System 1 and a logical System 2. In contrast, the revised model suggests that ...

Multimodal AI agents are designed to process and integrate various data types, such as images, text, and videos, to perform tasks in digital and physical environments. They are used in robotics, ...

Consensus decision-making fosters collaboration but can slow progress if not managed effectively. Balancing consensus with leadership ensures efficiency without sacrificing inclusivity and engagement.