Abstract: Exoskeleton controllers have recently employed machine learning (ML) techniques to provide appropriate assistance throughout the terrains of the real world. One successful approach has been ...

In a new article, researchers introduce the capabilities approach–contextual integrity (CA-CI), a framework that addresses privacy and dignity risks posed by modern artificial intelligence (AI) ...

Abstract: Speech sound disorders affect communication development in children, requiring early detection for timely intervention. Traditional clinical assessment relies on manual phonetic ...

Pre-built binaries for Linux, macOS, and Windows — no Rust toolchain required. See docs/install.md for all install options including manual download, checksum ...

Language models are statistical techniques for learning a probability distribution over linguistic data by observing samples of language use and encoding their observed presence in a large number of ...

Establishing normative isokinetic muscle strength values and prediction models for knee joints in non-athletic healthy Chinese adults aids in clinical assessments, diagnosis, and rehabilitation.

Objective: Based on machine learning (ML) methods, this study aimed to develop and validate a stable and scalable panel of cognitive tests for the early detection of MCI and dementia based on the ...

Get the latest federal technology news delivered to your inbox. But AI systems have a significant limitation: Many of their inner workings are impenetrable, making them fundamentally unexplainable and ...

Awhile ago, science-fiction writer Ted Chiang described Chatgpt’s text output as a ‘blurry jpeg of all the text in the web’—or: as a semantic ‘poor image’.footnote 1 But the blurry output generated by ...