Abstract: Accurate prediction of the water quality index is essential for protecting public health and managing freshwater resources. Existing models often rely on arbitrary weight initialization and ...
Written by Rich Mogull, Chief Analyst, CSA. You probably weren’t using it anyway, so might as well cut the cruft and end a lesser-known attack vector. I’m a bit late to the party, but this morning I ...
・BTQ demonstrates quantum-safe Bitcoin: Bitcoin Quantum Core 0.2 replaces Bitcoin's vulnerable ECDSA signatures with NIST-approved ML-DSA, completing the full flow of wallet creation, transaction ...
Abstract: This work introduces Semantically Masked Vector Quantized Generative Adversarial Network (SQ-GAN), a novel approach integrating semantically driven image coding and vector quantization to ...
A team at Kyoto University has discovered the exact conditions for quantum advantage, revealing a critical link between quantum computing and cryptographic security. Credit: Stock Researchers use ...
As artificial intelligence advances, so do the tactics of malicious actors. Hackers are now using AI to scale attacks, exploit vulnerabilities more quickly and create deceptive content that’s nearly ...
Thanks for releasing this great work! I am trying to reconstruct a video clip using MAGI-1 VAE. However, the reconstruction quality seems unsatisfactory. Could you please provide an example ...
Large scale terrain editing with lots of dense foliage and vegetation using particle systems. Zero initialization of any GPU buffers is slow due to inefficient memory reallocation. This is especially ...
The Food and Drug Administration has awarded Sarepta Therapeutics a new kind of fast pass that could help speed the reviews of certain gene therapy applications it brings to the regulator in the ...
French gendarmes have been busy policing crypto crimes, but these aren’t the usual financial schemes, cons, and HODL! shenanigans one usually reads about. No, these crimes involve abductions, ...
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results