Pacific leaders have voiced concerns that the model could dilute local representation unless equity and cultural voices are ...

This case study demonstrates how artificial intelligence helped to accelerate decision-making during operational events ...

To date, most applications for industrial AI have been for predictive applications, such as for maintenance optimization or ...

Orange DAO isn’t your typical accelerator. Born from a collective of Y Combinator alumni, it’s taking a decentralized ...

In this paper, we model the decision making process of drivers by building a hierarchical Dynamic Bayesian Model that describes physical relationships as well as the driver's behaviors and plans. This ...

the ensemble model combines their features to optimize the decision-making process. This fusion of expert knowledge-based system, fuzzy system, and machine learning model aims to enhance the ...

Current and former Meta employees fear the new automation push comes at the cost of allowing AI to make tricky determinations ...

Tom English assesses the most pressing question at Rangers as the club's new owners home in on who will be the club's next manager.

Data analytics has evolved beyond traditional forecasting and budgeting. It has become an active decision validation engine.

As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap ...

The accelerated advancements and adoption of Artificial Intelligence (AI) and Large Language Models (LLMs) are reshaping ...

Digitalisation also creates the agility needed to pivot when market conditions shift. For instance, automation and ...