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Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)

  • ai-text-detection
  • explainable-ai
  • interpretability
  • mechanistic-interpretability

TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

  • ai
  • cell
  • digitalpathology
  • microscopy

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

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  • auditing-predictive-models
  • fairness
  • discrimination
  • toolbox

Set of tools for security testing of Internet of Things devices using specific network IoT protocols