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 ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
A Perspective in National Science Review outlines a new paradigm for fully automated processor chip design. By combining ...
Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...
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 ...
Is artificial intelligence really ready to be our primary source of news? Ready or not, AI is reporting the latest headlines.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback