Abstract: This paper addresses the critical need for AI trustworthiness in smart IoT systems by focusing on the stability of Deep Neural Networks (DNNs) in Edge AI. State-of-the-art model checkers ...
Bradyarrhythmia is a common and potentially serious cause of syncope, often difficult to detect due to its intermittent nature. Traditional ECG monitoring methods either provide low diagnostic ...
ConspectusKohn-Sham density functional theory (KS DFT) is arguably the most widely applied electronic-structure method with tens of thousands of publications each year in a wide variety of fields. Its ...
Abstract: The remarkable accomplishments of deep neural networks (DNN) have led to their widespread adoption in various contexts, including safety-critical applications. Many strategies have been ...
Researchers at the University of Michigan say they can reduce the energy consumption of AI training by up to 75 percent. Deep learning models and large language models can be trained more efficiently ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Article Views ...
The latest results in Deep Neural Networks (DNNs) have greatly improved the accuracy and performance of a variety of intelligent applications. However, running such computation-intensive DNN-based ...
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