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 ...

A group of researchers led by Prof. LI Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences reveals that the balance between habitual and goal-directed decision-making ...

Emergent large language models (LLMs) such as OpenAI’s ChatGPT (particularly its latest iteration, GPT-4), Claude AI and Gemini have demonstrated limited decision-making. In this article, we’ll ...

Causal AI is redefining decision intelligence, offering deeper insights and more precise enterprise decision-making than ever before. Enterprises struggle to leverage AI for critical decisions.

Autonomous AI is helping enterprises move from insight to action with real-time decision-making inside workflows. Learn how financial services firms are using it to reduce bottlenecks, improve fraud ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too low, and profit margins suffer. Traditional pricing approaches typically ...

New insight into decision-making pathways in the brain may impact the way engineers think about artificial intelligence, ...

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.