Associate Professor Yusuke Imoto at Kyoto University has developed iRECODE, a comprehensive computational method that removes noise from single-cell data, revealing the true activity of individual ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

In the traditional two-step method, the homogenization group constants of the fuel assembly are calculated using the assumption of reflective boundary conditions. In the hybrid two-step method used in ...

Building on previous data studying organoids derived from patients with neuropsychiatric disorders, this computational model can differentiate between signals ...