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 ...
Chromatography Online

AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...
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

Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

Abstract: Self-confidence is a crucial trait that significantly influences performance across various life domains, leading to positive outcomes by enabling quick decision-making and prompt action.
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) ...