From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Abstract: The focus of this research is to develop a learning-based method that computes self-motion manifolds (SMMs) efficiently and accurately to enable real-time global fault-tolerant motion ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Alzheimer's disease is marked by the buildup of amyloid plaques in the brain, but most ways of studying these deposits in mouse models require sacrificing the animals. That limits researchers' ability ...

ABSTRACT: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their ...

The current IDL generator does not support overloading of interface methods. This issue is to add support for method overloading (similar to how it's currently being done in the Dart interface interop ...

Abstract: DC microgrids (MGs) have emerged as an alternative interconnection method for DC-type loads and distributed energy resources (DERs). Owing to the vulnerability of grid-connected converters ...

Introduction: The preservation of microbial safety in cosmetic products is essential for consumer health and requires rapid and accurate detection strategies… Traditional detection methods, such as ...

Detecting microplastics and identifying plant stress at an early stage -- this and much more can now be done thanks to a new method based on near-infrared light measurements. It is inexpensive and ...