Dhaka, Feb. 20 -- Researchers at the University of California, Santa Cruz have successfully trained lab-grown brain organoids to solve a classic engineering challenge known as the inverted pendulum or ...

UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and laborintensive to obtain for medical image segmentation ...

Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot topic in ...