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Transfer Learning Enhances Chatbot Models Across Domains

Researchers explored using transfer learning to improve chatbot models for customer service across various industries, showing significant performance boosts, particularly in data-scarce areas. The study demonstrated successful deployment on physical robots like Softbank's Pepper and Temi.

9 Aug 2024

Homomorphic Encryption and Dynamic Sparse Attention for Advancing Privacy in Dialogue Models

Researchers present a groundbreaking privacy-preserving dialogue model framework, integrating Fully Homomorphic Encryption (FHE) with dynamic sparse attention (DSA). This innovative approach enhances efficiency and accuracy in dialogue systems while prioritizing user privacy. Experimental analyses demonstrate significant improvements in precision, recall, accuracy, and latency, positioning the proposed framework as a powerful solution for secure natural language processing tasks in the information era.

13 Dec 2023

From Ad Algorithms to Consumer Insights: The Evolution of AI Advertising

This article provides a comprehensive overview of the evolution of AI advertising research by analyzing literature from 1990 to 2022. It identifies key research areas, trends, and challenges in AI advertising and suggests future directions for integrating AI with marketing functions and improving ad effectiveness.

5 Jul 2023

Technossus and Cyrano.ai Form Strategic Alliance: Set to Revolutionize AI-Powered Conversational Intelligence

Technossus, a leader in the delivery of technological advancement and consulting services, along with Cyrano.ai, a conversational intelligence firm, are publicizing a strategic alliance designed to harness the distinctive proficiencies of both firms to develop and integrate conversational AI intelligence for corporate communication drives.

From Technossus 27 Jun 2023