A research team led by Prof. Sun Youwen from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed two innovative artificial intelligence (AI) systems to enhance ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

We live in a world filled with distractions. Throughout the workday, 79% of workers report feeling distracted. Employees lose an estimated 720 hours a year because of workplace distractions. As a ...

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...

Learning human languages is a difficult task for a computer. However, Deep Learning (DL) techniques have enhanced performance significantly for almost all-natural language processing (NLP) tasks.

However, less research has been explored on how polychronicity is related to multitasking behavior in the educational field. Objective: To explore the relationships among polychronicity, multitasking ...

The RRMTDL deep learning model restrains the misleading relatedness task by adversarial training and extracts information sharing across tasks with valuable relatedness. With RRMTDL, multi-task deep ...