All Articles
17277 articles total
This Week in Security: Escaping Linux VMs, Vulnerable Solar, Confusing AI (Again), and Confusing NPM Malware
A roundup of security vulnerabilities, including the Januscape KVM escape and NPM malware.
The footgun of right-to-left decorative characters
A discussion on the security and usability risks associated with right-to-left decorative characters in digital text.
Silent speech with ultrasound
An exploration of using ultrasound for silent speech communication.
Accurate Portraits of Scientific Resources and Knowledge Service Components
Research on creating accurate profiles of scientific resources using knowledge graphs, text representation learning, and entity extraction.
Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences
A review of technologies for building knowledge graphs and portraits for academic conferences to help researchers find information more efficiently.
Retrieval of Scientific and Technological Resources for Experts and Scholars
Research on building expert and scholar databases using text relation extraction and vector retrieval to improve matching between talent and social needs.
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis
An expert-based analysis of the role of eXplainable AI (XAI) in the safe development and certification of AI systems, highlighting both its utility and limitations.
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
Introduction of ParamMute, a framework that improves RAG faithfulness by suppressing specific feed-forward networks (FFNs) that cause unfaithful generation.
Simulator Ensembles for Trustworthy Autonomous Driving Systems Testing
Introduction of MultiSim, an ensemble-based simulator approach for identifying generalizable, simulator-agnostic failures in autonomous driving systems.
Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs
Introduction of the Concept-as-Tree (CaT) framework for generating controllable synthetic data to improve the personalization of Vision-Language Models (VLMs).
ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access
Proposal of ToDMA, a semantic multiple access scheme using large models to enable massive token communications with reduced latency and improved recovery.
FreeCAD in the Browser
FreeCAD, a popular open-source 3D parametric modeler, is now being made available to run directly in the web browser.
Meta pulls new AI image feature after days of backlash
Meta has removed a newly introduced AI image feature following significant user backlash.
An iroh powered smart fan
A developer has created a smart fan powered by Iroh, demonstrating the network's capabilities for decentralized device communication.
Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach
A guide proposing a decision-tree approach for selecting the most effective memory strategy for AI agents.
US cyber agency CISA had to build its incident playbook during the incident, agency reveals
CISA admits it failed to prepare a security incident playbook before a major event, necessitating on-the-fly development during the crisis.
Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions
Researchers propose O-RAG, an Opinion-Aware RAG architecture designed to represent diverse opinions rather than just factual grounding.
The Power of Power Law: Asymmetry Enables Compositional Reasoning
Research indicates that power-law data distributions, rather than uniform ones, actually improve a model's ability to perform compositional reasoning.
SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition
SHARP is a new framework that uses a 'sleep-based' replay mechanism to improve long-range temporal pattern recognition in streaming data.
Deployment-Time Memorization in Foundation-Model Agents
Study examines how memory design choices in foundation-model agents affect personalization utility versus the risk of adversarial data extraction.