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Research & Development
MetaGen: Bridging AI and Advanced Material Design
TLDR: MetaGen is a new ecosystem comprising a domain-specific language (MetaDSL), a large database (MetaDB) of over 150,000 metamaterials, and a benchmark (MetaBench) for...
Research & Development
Enhancing Heart Health Diagnostics with AI-Generated Echocardiograms
TLDR: Researchers have developed ControlEchoSynth, a novel AI model that uses controlled video diffusion to generate high-fidelity synthetic echocardiogram videos. This approach addresses the...
Research & Development
Uncovering Outliers: A Mamba-Based Approach for 3D Scene Anomaly Detection
TLDR: A new research paper introduces a novel approach for detecting unknown anomalous objects in large-scale LiDAR point cloud scenes. It combines object defect...
Research & Development
Advertisement Embedding Attacks: A New Stealthy Threat to LLMs and AI Agents
TLDR: Advertisement Embedding Attacks (AEA) are a new class of LLM security threats that inject promotional or malicious content into AI outputs. Attackers use...
Research & Development
A Smart Way to Make LLMs Safer and Faster: Speculative Safety-Aware Decoding
TLDR: Speculative Safety-Aware Decoding (SSD) is a new, lightweight method that makes large language models (LLMs) safer from 'jailbreak' attacks and also speeds up...
Research & Development
UniSino: A Foundational Model for Enhancing CT Scan Quality
TLDR: UniSino is a novel physics-driven foundational model designed to standardize raw CT scan data (sinograms) directly in the projection domain. It addresses limitations...