New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
Scientific Games has named Ovie Doro ("Doro") as Senior Vice President of Data, Analytics & AI, strengthening the company's investment in advanced analytics, data science and AI-driven insights to ...
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Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
Abstract: Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, ...
The conversation about 6G begins with familiar building blocks: Multiple-Input Multiple-Output (MIMO) and full duplex ...
Abstract: Channel prediction on the user equipment side has recently been identified as one of the main use cases for artificial intelligence in the radio access network. With advanced neural networks ...
Purposes: To develop a combined model integrating multi-channel deep learning features, radiomics features, and clinical variables for noninvasive pathological grading of clear cell renal cell ...
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