InfoQ

Meta Details GEM Ads Model Using LLM-Scale Training, Hybrid Parallelism, and Knowledge Transfer

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
IEEE

Combining Reinforcement Learning and Heuristic Optimization: A Model Based on a Deep Q-Network and Graph Neural Networks for Graph Coloring

Abstract: We present a hybrid approach combining Reinforcement Learning (RL) with the TabuCol, which is a version of tabu search specifically designed for the Graph Coloring Problem (GCP), enhanced by ...
GitHub

kg-gen: Knowledge Graph Generation from Any Text

Welcome! kg-gen helps you extract knowledge graphs from any plain text using AI. It can process both small and large text inputs, and it can also handle messages in a conversation format. Why generate ...
Semiconductor Engineering

Benefits And Limits Of Using ML For Materials Discovery

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
IEEE

Graph Convolutional Networks with Visual Masking and Social Interaction Models for Pedestrian Trajectory Prediction

Abstract: Pedestrian trajectory prediction is critical for autonomous driving, crowd analysis, and urban surveillance. To address insufficient interaction modeling in existing methods, we propose two ...
SharePains by Pieter Veenstra on MSN

Create MS Graph subscriptions in Power Apps without Power Automate

A while back I wrote a post about MS Graph subscriptions in Power Automate. Today I managed to do this directly within Power ...