The CPU and GPU confusion matrices are nearly identical. The prediction agreement between both implementations reached 99.82%, showing that the CUDA implementation preserved the classification ...

Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.

Abstract: Sparse mobile crowdsensing is a new crowdsensing paradigm which leverages the spatial and temporal correlation between data sensed at different locations over time to reduce the overall ...

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What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martin Kleppmann, an associate professor at ...

Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support? Accurate classification of microsatellite instability (MSI ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

The intersection of machine learning, biosensing technologies, and neurological behavior analysis presents fertile ground for groundbreaking research and innovation. This research topic aims to bridge ...

The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of ...