Science

New research leverages process mining techniques to analyze network traffic from online games, revealing insights into player behavior and network dynamics.

As large language models become increasingly powerful, ensuring the accuracy of their responses is paramount, and a new framework offers a promising solution for detecting fabricated information.

Researchers demonstrate a novel method for generating subtle, yet effective, adversarial examples by manipulating the internal attention mechanisms of large language models.

Researchers are exploring how the unpredictable behavior of rogue waves can be used to build more efficient and powerful optical spiking neural networks.

A new review examines Deep Global Clustering, a promising technique for extracting meaningful information from complex hyperspectral data without relying on labeled datasets.

Researchers are combining deterministic estimation with generative modeling to create a more accurate and reliable method for filling in missing data in time series.

A new approach combines generative AI and intelligent optimization to improve the accuracy of COVID-19 detection from chest X-rays, even when positive cases are rare.

New research reveals that while AI hasn’t yet taken over newsrooms, its impact is already being felt in declining website traffic and evolving content strategies.

Researchers have developed a novel approach to optimize the performance of existing neural networks using gradient-based methods, pushing the boundaries of what’s possible with already-trained models.

New research demonstrates how deep learning can rapidly and accurately measure the dispersion of fast radio bursts, offering a powerful tool for studying these enigmatic cosmic events.