Science

Researchers are exploring how to better translate natural language questions into accurate database queries, achieving improved performance with a novel reasoning framework.

New research details a robust method for multi-agent systems to maintain accurate positioning even when facing malicious interference to radio signals.

Researchers have demonstrated a novel method to manipulate image generation from text prompts in Stable Diffusion by exploiting vulnerabilities in the model’s text understanding component.

Researchers have demonstrated a novel approach to controlling quantum information flow using superconducting diodes, paving the way for more robust and scalable quantum processors.

This research introduces a practical criterion for ensuring the stability of numerical solutions when using finite element discretization, connecting theoretical spectral analysis with real-world computation.

Researchers have developed a significantly faster algorithm for finding the maximum-weight sparse subgraph, opening doors to more efficient solutions in areas like network analysis and structural rigidity.

Researchers have developed a new method for embedding imperceptible watermarks directly into the stylistic elements of images created by AI, safeguarding intellectual property in the age of diffusion models.

Researchers explore how ‘lazy’ quantum walks on neutral atom platforms can provide a pathway to efficient fluid dynamics simulations.

A new empirical study reveals that combining multiple code obfuscation techniques dramatically increases the effort required for successful software attacks.

Researchers have refined the decoy-state BB84 protocol with advantage distillation, pushing the boundaries of secure quantum communication.