Sharma, Fu, and Ansari et al. developed a tool for converting plain-text instructions into photonic circuit designs with the ...

From medical image interpretation to remote monitoring to digital pathology systems, artificial intelligence is already at the forefront of medical device innovation. While manufacturers continue to ...

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Beyond bothering large language models (LLMs) with funny questions, there’s the general idea that they can act as supporting tools. Theoretically they should be able to assist with parsing and ...

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...

AI bias can influence how users think or feel, regardless of whether the information presented is true or false.

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...