IEEE

Ontology Synthesis Using Semi-Automatic Semantic AI Using Deep Learning and Reinforcement Learning

Abstract: The need for automatic ontology modeling has become particularly significant in the era of Web 3.0, where ontologies serve as the structural metadata backbone. Despite their importance, ...
IEEE

Research on the BP-AdaBoost Model Based on Dung Beetle Optimization Algorithm and Its Application in Financial Forecasting

Abstract: This paper proposes an optimized BP-AdaBoost model that integrates the Dung Beetle Optimization (DBO) algorithm to enhance the performance of BP neural networks in classification tasks. The ...
SiliconANGLE

Financial AI startup Model ML nabs $75M investment

Model ML Inc., a provider of artificial intelligence software for investment professionals, has raised $75 million in funding to support its growth efforts. The startup disclosed today that investment ...
techtimes

Designing for Algorithms and AI: How BoldRanks' A2F Model Is Redefining Marketplace-Native Growth

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...
Frontiers

Robust detection framework for adversarial threats in Autonomous Vehicle Platooning

Introduction: The study addresses adversarial threats in Autonomous Vehicle Platooning (AVP) using machine learning. Methods: A novel method integrating active learning with RF, GB, XGB, KNN, LR, and ...
VentureBeat

From static classifiers to reasoning engines: OpenAI’s new model rethinks content moderation

Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...
ascopubs.org

Hybrid ReGex and Natural Language Inference Model as a Zero-Shot Classifier for Extracting Data From Medical Reports

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...
The Hill

Anthropic offering AI model to all three government branches for $1

Anthropic announced Tuesday it will offer its artificial intelligence (AI) model Claude to all three branches of the federal government for $1, following a similar move by OpenAI last week. Federal ...
GitHub

TreeSHAP-compatible AdaBoost and RUSBoost classifiers for explainable AI on imbalanced datasets.

This package provides custom implementations of AdaBoost and RUSBoost classifiers that are compatible with SHAP's TreeExplainer, enabling fast local explanations for boosting algorithms on imbalanced ...