WinBuzzer

New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
The Lancet

Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study

dDepartment of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China ...
The Lancet

Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study

aShanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information ...
GitHub

This repository is the official implementation of the IJCNN2025 paper: "Using Domain Adapter and Prompt Learner for Few-shot Teaching Action Recognition in videos"

Create a conda environment and install dependencies: conda create -n TBA-CLIPNet python=3.11 conda activate TBA-CLIPNet # Install the according versions of torch and ...
IEEE

Unlearning Attacks for Regression Learning

Abstract: Recently, the machine unlearning has emerged as a popular method for efficiently erasing the impact of personal data in machine learning (ML) models upon the data owner’s removal request.
IEEE

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...