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Research & Development
Securing AI for Chip Design: Lightweight LLMs in Confidential Computing
TLDR: This paper evaluates the performance of Large Language Models (LLMs) within a confidential computing environment using Intel Trust Domain Extensions (TDX) for System-on-Chip...
Research & Development
Personalized Calling Boosts Maternal Health Message Delivery in India
TLDR: A field trial of a collaborative bandit algorithm within India's Kilkari mobile maternal health program significantly improved call pick-up rates by learning individual...
Research & Development
Poker: A Self-Supervised System for Learning Logic Programs Without Extensive Manual Data
TLDR: A new research paper introduces Poker, a novel Inductive Logic Programming (ILP) system that addresses the traditional ILP challenge of requiring manually crafted...
Research & Development
Unlocking LLM Secrets: A Neuron-Based Approach to Identifying Training Data
TLDR: A new method called NA-PDD uses neuron activation patterns in large language models (LLMs) to accurately identify if specific text was part of...
Research & Development
Machine Learning Enhances Operating Room Scheduling with Predictive Confidence
TLDR: This research integrates machine learning (ML) with Answer Set Programming (ASP) to improve operating room scheduling. By using ML (specifically XGBoost) to predict...
Research & Development
INRAExplorer: Advancing Scientific Knowledge Exploration with Agentic RAG and Knowledge Graphs
TLDR: INRAExplorer is an advanced agentic Retrieval-Augmented Generation (RAG) system that combines LLM-based agents with comprehensive knowledge graphs to overcome the limitations of traditional...