As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...
Abstract: Accurate brain tumor segmentation is essential for clinical diagnosis and treatment planning, yet manual design of optimal architectures is time-consuming and expertise-intensive. This paper ...
A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...
IEEE Spectrum on MSN
AI models trained on physics are changing engineering
Large physics models are increasingly used to bypass simulation ...
Artificial intelligence is transforming industries ranging from healthcare and autonomous vehicles to smart manufacturing and entertainment. However, its ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
The study examines detection systems, cryptographic provenance frameworks, watermarking techniques, adversarial resilience, and governance mechanisms, presenting deepfake mitigation as a complex, ...
Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Climate Compass on MSN
The science behind earthquake prediction efforts
Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...
Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...
Abstract: This paper introduces a hierarchical fault diagnostic framework based on Convolutional Neural Network (CNN) models to identify, localize, and classify Open Circuit Faults (OCFs) in Cascaded ...
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