The intricacy arises from the intertwined roles of decision-making, learning, memory, and perception. This Research Topic will explore the development and application of neurocomputational models to ...

To mimic human cognitive processes, the study introduces a thinking method based on a built-in chain of thought (COT). This ...

As industries increasingly rely on data-driven strategies, these methodologies will play a critical role in shaping the next ...

Machine learning is at a crossroads. While accuracy-driven models have propelled technological advancements, their ...

Despite the UK governments fervent embrace of artificial intelligence, there is still little meaningful transparency around the scope of the technology's deployment throughout public services ...

The automated logic behind many financial decisions — for example, decisions that determine whether a client is approved for ...

Artificial intelligence is no longer a futuristic concept in product management—it’s an essential tool that is redefining how ...

DAO members regulate a meeting in which governance proposals are submitted and voted upon in a transparent, immutable manner ...

In 2020, the pair decided to found a startup, Taktile, to make modifying automated decisioning logic a more self-service process ... for automated decision-making. Users can experiment with ...

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in clinical trial statistical programming has ...

Decision tree analysis involves making a tree-shaped diagram to chart out a course of action or a statistical probability analysis. It is used to break down complex problems or branches. Each branch ...

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial ...