A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...
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 ...
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 ...
News Medical on MSN
Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
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 ...
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 ...
Zacks Investment Research on MSN
How SoundHound's hybrid AI model beats pure LLM players
SoundHound AI’s SOUN competitive edge lies in its hybrid AI architecture, which blends proprietary deterministic models with ...
News-Medical.Net on MSN
AI language models actually help in digestive disease care
Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...
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 ...
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