Abstract: In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Roche, in collaboration with KlinRisk, Inc, has received CE-mark for the first AI-based risk stratification tool for assessment of progressive decline in kidney function. This tool will be launched as ...

In this video, I demonstrate how I trained an AI to play the classic game of Snake Government shutdown live updates; Trump administration will partially pay for SNAP benefits Walmart CEO unveils ...

According to a new study, the use of an artificial intelligence-based "You Only Look Once (YOLO)" algorithm showed high precision in detecting B lines on lung ultrasound (LUS) images, with substantial ...

On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

Background: The immunosuppressant tacrolimus (TAC) plays a crucial role in preventing rejection reactions after organ transplant. Due to a narrow therapeutic window, it is one of the long-term ...