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An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
(1) Integration with Artificial Intelligence and Machine Learning ...
According to the latest information from the National Intellectual Property Administration, Yunnan Rongchuang Intelligent Technology Co., Ltd. applied for a patent titled "An Artificial ...
The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...
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Medical Device Network on MSNThe rise of LLMs in robotic surgery
With artificial intelligence (AI) becoming an omnipresent focus of innovation in the healthcare sector, it should come as no ...
AI in healthcare is changing how doctors diagnose illnesses. It’s not science fiction anymore; it’s here, helping ...
In recent years, artificial intelligence has brought a major breakthrough in how we solve complex challenges in various workplaces. Generally, in healthcare, where these complex tasks and challenges ...
Ruinous fires across the West often lead to smoke-filled days with flames tearing through large swaths of natural land. While most of these fires are started by people, many fires start because of ...
Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...
Six principles for thinking about AI from the robotics pioneer behind the Roomba and former head of the MIT Artificial Intelligence Lab.
Learn how AI is improving Parkinson’s diagnosis, treatment, and clinical trials through earlier detection, precision care, ...
Nature action is climbing up the boardroom agenda. Yet significant data gaps remain, and sustainability professionals are ...
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