Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

A simple, user-friendly decision-making model that used self-reported information was able to perform well in outpatient decision-making for patients with colorectal cancer (CRC). CRC is the second ...

Expert Intelligence, a startup building artificial intelligence systems to automate decision-making in regulated lab ...

Whether assessing the value of a player, allocating capital, or managing exposure, data-driven decision-making is about ...

The field of decision making has long captured the interest of researchers seeking to understand how cognitive processes underpin everyday choices. Contemporary studies reveal that decision-making ...

The difference between sequential decision-making tasks and prediction tasks, such as CV and NLP. (a) A sequential decision-making task is a cycle of agent, task, and world, connected by interactions.

Robots find tricky tasks hard and need a lot of training. This system helps them plan ahead and act smarter using much less data.

Making decisions is a key aspect of our brains and daily lived experiences. Whether we realize it or not, we are constantly making decisions. Those decisions are driven by different models, some of ...

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and ...