About
Research & Development
Advancing Breast Cancer Diagnosis with AI: A Multi-View Language Model Approach
TLDR: MV-MLM is a new AI model that improves breast cancer diagnosis and risk prediction by combining multi-view mammography images with AI-generated synthetic radiology...
Research & Development
Machine Learning Uncovers Key Factors in Predicting Hospital Readmissions
TLDR: A research paper explores the use of machine learning, specifically Logistic Regression, Random Forest, and Support Vector Machines, to predict all-cause hospital readmissions...
Research & Development
Optimizing Financial Collateral: A Hybrid Approach Combining AI and Quantum-Inspired Computing
TLDR: This research introduces a hybrid pipeline for optimizing collateral management under ISDA Credit Support Annexes. It combines an evidence-gated LLM for extracting legal...
Research & Development
MPRU: A New Approach to Machine Unlearning Through Output Filtering
TLDR: The research paper "MPRU: Modular Projection–Redistribution Unlearning as Output Filter for Classification Pipelines" introduces a novel machine unlearning (MU) framework. MPRU treats classification...
Research & Development
Enhancing AI’s Ability to Detect Scientific Misinformation with Synthetic Data
TLDR: MisSynth is a new pipeline that uses retrieval-augmented generation (RAG) to create realistic synthetic data for logical fallacies. This data is then used...
Research & Development
Unlocking LLM Team Synergy: A Graph-Based Approach to Multi-Agent Collaboration
TLDR: This research paper introduces an interaction-centric framework for automatically composing synergistic multi-agent teams of large language models (LLMs). The method constructs a "language...