<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RAILwAI]]></title><description><![CDATA[Railwai]]></description><link>https://www.railwai.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Thu, 18 Jun 2026 13:05:05 GMT</lastBuildDate><atom:link href="https://www.railwai.fr/en/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[The Olympics, a rehearsal for public transportation]]></title><description><![CDATA[It's a given : with the Olympic Games, transportation infrastructures will be subjected to unprecedented pressure, both in the capital...]]></description><link>https://www.railwai.com/en/post/the-olympics-a-rehearsal-for-public-transportation</link><guid isPermaLink="false">66163fe39c91c442a4a5e965</guid><pubDate>Wed, 10 Apr 2024 07:52:33 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7704ce_497c0f5d83b9493184cdf2bb07e080cb~mv2.webp/v1/fit/w_1000,h_541,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Bruno Dabilly</dc:creator></item><item><title><![CDATA[Les JO, une répétition générale pour les transports collectifs]]></title><description><![CDATA[La chose est acquise : avec les Jeux Olympiques, les infrastructures de transports vont être soumises à une pression inédite, dans la...]]></description><link>https://www.railwai.com/post/les-jo-une-r%C3%A9p%C3%A9tition-g%C3%A9n%C3%A9rale-pour-les-transports-collectifs</link><guid isPermaLink="false">6613ddc5cbc28b4c6d0e271b</guid><pubDate>Mon, 08 Apr 2024 12:14:54 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7704ce_497c0f5d83b9493184cdf2bb07e080cb~mv2.webp/v1/fit/w_1000,h_541,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Bruno Dabilly</dc:creator></item><item><title><![CDATA[Unlock the Power of Model Fusion in Railway Environments – A Case Study on Catenary Pole Detection  ]]></title><description><![CDATA[Context Electric trains -the backbone of modern eco-friendly, and safest means of transportation- rely on a sophisticated network of...]]></description><link>https://www.railwai.com/en/post/unlock-the-power-of-model-fusion-in-railway-environments-a-case-study-on-catenary-pole-detection</link><guid isPermaLink="false">65cb38cad2820976a9582b2c</guid><pubDate>Tue, 13 Feb 2024 10:17:58 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7704ce_3670c42cef8846f5a9634e4615f7d073~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Data Science - R&amp;D</dc:creator></item><item><title><![CDATA[La fusion de modèles d’apprentissage, un grand potentiel – illustration par la détection automatique de poteaux de caténaire ]]></title><description><![CDATA[Contexte Au centre de la stratégie d’une mobilité durable, sure et responsable, les trains à traction électrique sont généralement...]]></description><link>https://www.railwai.com/post/la-fusion-de-mod%C3%A8les-d-apprentissage-un-grand-potentiel-illustration-par-la-d%C3%A9tection-automatique</link><guid isPermaLink="false">65ca2c08f7dfd140ad50a2f2</guid><pubDate>Tue, 13 Feb 2024 08:08:24 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7704ce_3670c42cef8846f5a9634e4615f7d073~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Data Science - R&amp;D</dc:creator></item><item><title><![CDATA[L'expertise ferroviaire au cœur de l'apprentissage machine - Détection dans les appareils de voie ]]></title><description><![CDATA[Contexte La maintenance de grandes infrastructures impose de surveiller ses composants de manière évolutive. L'objectif est de...]]></description><link>https://www.railwai.com/post/experts-ferroviaires-au-c%C5%93ur-de-l-apprentissage-machine</link><guid isPermaLink="false">6572dcda5e041a91ee630ca3</guid><pubDate>Fri, 08 Dec 2023 09:26:35 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/cb31c8_0266d3729623408590888c7e8e9a41ee~mv2.jpg/v1/fit/w_1000,h_899,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Data Science - R&amp;D</dc:creator></item><item><title><![CDATA[Railway experts at the core of the learning process - A case study on frog point detection]]></title><description><![CDATA[Context The maintenance of large infrastructures poses the challenge of monitoring its components in a scalable way. The aim is to...]]></description><link>https://www.railwai.com/en/post/railway-experts-at-the-core-of-the-learning-process</link><guid isPermaLink="false">6570774215ca0403c96f74c1</guid><pubDate>Wed, 06 Dec 2023 15:28:52 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/cb31c8_0266d3729623408590888c7e8e9a41ee~mv2.jpg/v1/fit/w_1000,h_899,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Data Science - R&amp;D</dc:creator></item><item><title><![CDATA[Collaboration sur les données : une nécessité pour le secteur ferroviaire]]></title><description><![CDATA[Les avancées du big data et de l'IA ont révolutionné plusieurs industries, le secteur ferroviaire n'étant pas en reste. Toutefois,...]]></description><link>https://www.railwai.com/post/collaboration-sur-les-donn%C3%A9es-une-n%C3%A9cessit%C3%A9-pour-le-secteur-ferroviaire</link><guid isPermaLink="false">657317b7c5fcd7719014a2f3</guid><pubDate>Mon, 17 Jul 2023 22:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7704ce_d232e22f8b2045cbae1f8075e0c32b12~mv2.png/v1/fit/w_1000,h_432,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Bruno Dabilly </dc:creator></item><item><title><![CDATA[À la conquête des données]]></title><description><![CDATA[En travaillant sur la mise à jour de mon profil LinkedIn, je me trouve une fois de plus confronté à la tâche ardue de décrire mon...]]></description><link>https://www.railwai.com/post/%C3%A0-la-conqu%C3%AAte-des-donn%C3%A9es</link><guid isPermaLink="false">6573111ac5fcd77190149f46</guid><pubDate>Wed, 17 May 2023 12:09:01 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7704ce_3c49255d111d44598811f037190b7413~mv2.jpg/v1/fit/w_720,h_297,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Olivier Mari</dc:creator></item></channel></rss>