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Research & Development
New AI Model Enhances Non-coding RNA Classification Through Multimodal Data Integration
TLDR: Researchers have developed HGMamba-ncRNA, a new AI model for classifying non-coding RNAs (ncRNAs). This model integrates sequence, secondary structure, and expression features using...
Research & Development
The Hidden Security Risks of AI-Generated Code in Your Software Supply Chain
TLDR: A new research paper reveals that code generated by large language models (LLMs) like GPT and Llama consistently introduces significant security threats into...
Research & Development
New AI Model Predicts Oligopeptide-Infectious Disease Links
TLDR: A new computational framework, PGCLODA, uses prompt-guided graph contrastive learning to predict associations between oligopeptides and infectious diseases. It constructs a tripartite graph...
Research & Development
SIM-CoT: Enhancing LLM Efficiency and Accuracy Through Supervised Implicit Thoughts
TLDR: SIM-CoT is a novel training module for Large Language Models (LLMs) that resolves the instability and performance limitations of current implicit Chain-of-Thought (CoT)...
Research & Development
Exploring Graph Logic in Decoder-only AI
TLDR: This research applies the circuit-tracing framework to decoder-only Transformers to understand how they perform graph reasoning tasks. It identifies two core mechanisms: "token...
Research & Development
EmbeddingGemma: Google’s New Compact Model for Advanced Text Understanding
TLDR: EmbeddingGemma is a new, lightweight (308M parameters) text embedding model from Google, based on the Gemma 3 language model. It achieves state-of-the-art performance...