Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Emergent large language models (LLMs) such ...

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 ...

Chris G. Whipple is a principal in ENVIRON International Corporation in Emeryville, California, which provides consulting services mainly to private industry. His professional interests are in risk ...

In a large group of independent decision-makers, those who reach a decision most quickly also tend to be those with the strongest initial biases. The finding comes from a mathematical model of ...

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.

I discovered many years ago that good leadership creates an environment that embodies the ideal balance of empowerment and accountability. Empowerment devoid of accountability is anarchy, and ...

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 ...

In today’s fast-paced business environment, making well-informed decisions quickly is a crucial skill for leaders. Understanding different models of decision-making can provide you with the tools to ...

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 ...

As artificial intelligence revolutionizes the business world, a more subtle but equally powerful force is emerging: intuitive decision-making. Executives increasingly recognize that combining rational ...

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 ...