Abstract: With the rapid increase in the observation swath of spaceborne synthetic aperture radar (SAR) systems, the volume of echo data has grown dramatically, making the conventional processing ...
Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
Claude Code’s latest feature, Auto Mode, offers a smarter way to handle permission management by combining automation with safety. Unlike traditional approaches such as the Cloud Code bypass ...
Shield AI Inc. today announced that it’s raising a $2 billion late-stage funding round at a post-money valuation of $12.7 billion. Three quarters of the capital will be provided through a Series G ...
Dispute-tracking software startup Glimpse said today it has closed on a $35 million round of funding to accelerate its plan to use artificial intelligence to help brands gain more leverage over ...
Abstract: In recent years, speech features have gained increasing application in mental health and psychiatric research due to their rich acoustic and linguistic information. This review ...
For developers using AI, “vibe coding” right now comes down to babysitting every action or risking letting the model run unchecked. Anthropic says its latest update to Claude aims to eliminate that ...
Abstract: The paper introduces a deep learning system that is utilized to predict seizures based on real-time EEG signals. It is based on CNN and RNN methods. EEG signals are dynamic and complicated.
Abstract: Current CNN–Transformer hybrid methods for remote sensing change detection aim to address the limitations of the CNNs’ constrained receptive fields and the Transformers’ local detail ...
Abstract: This study presents a comparative evaluation of deep feature extraction and machine learning classifiers for facial recognition-based student attendance systems. Two pretrained convolutional ...
Abstract: Modern vehicles rely heavily on Controller Area Network (CAN) communication for time-critical functions such as engine control and powertrain management. As vehicles become increasingly ...