Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies ...
Dec 4 (Reuters) - CNBC has signed a multi-year deal with prediction-market operator Kalshi, bringing real-time probability data into the network's TV broadcasts and digital platforms starting next ...
Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...
The Department of Homeland Security is funneling $10 billion through the Navy to help facilitate the construction of a sprawling network of migrant detention centers across the US in an arrangement ...
Nitika Garg does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
ABSTRACT: In energy critical systems, accurate modeling of fluid dynamics is essential for designing controllers that enhance operational performance and reduce energy consumption. This study presents ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
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