A cybersecurity researcher says Recall’s redesigned security model does not stop same-user malware from accessing plaintext ...
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 ...
Abstract: With the acceleration of intelligent transformation of railroad signaling system, the traditional way of relying on manual interpretation of signaling engineering drawings in the railroad ...
Cognichip said today it has raised $60 million in funding to try to accelerate momentum for the emerging concept of physics-informed chip design powered by advanced artificial intelligence models. The ...
Abstract: In the era of pervasive digital imaging, ensuring secure and efficient image encryption has become increasingly important. This paper proposes a novel hybrid encryption framework that ...
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 ...
Normal Computing Corp., a startup that’s trying to reinvent the fundamental physics of artificial intelligence, said today it has raised $50 million in a Series B funding round led by Samsung Catalyst ...
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 ...
Anthropic is joining the increasingly crowded field of companies with AI agents that can take direct control of your local computer desktop. The company has announced that Claude Code (and its more ...
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 ...