Projet Unity (Unity 6 — 6000.2.7f2) d’initiation à l’IA avec ML-Agents, inspiré du tutoriel de Jason Builds: « How To Use MACHINE LEARNING In Unity MLAgents Setup & Basic Environment - Pellet Grabber ...

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...

Abstract: We present a conversational AI framework for monitoring and analysis of distributed AI/ML infrastructure based on a multi-agent architecture. The system incorporates specialized agents for ...

Abstract: This study proposes an advanced framework for predicting optical amplifier failures in optical networks by integrating Digital Twins (DT) and Machine Learning (ML). Utilizing the GNPy ...

In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...

Organic Synthesis Laboratory, P. G. Department of Chemistry, Berhampur University, Bhanja Bihar, Odisha 760007, India ...

State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China ...

According to ElevenLabs (@elevenlabsio), the company is launching a comprehensive video series called Agent Tutorials designed to guide users from beginner to expert in building, deploying, ...

Learn the easiest Photoshop techniques for beginners using a simple, underrated method that saves time and boosts creativity. Perfect for anyone starting out in design. #PhotoshopTutorial ...