Sylvain Marchienne
@sylvainmarch
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Photos Engineer at Apple. Apple Intelligence x Photos (Memory Creation). CS at @utcompiegne and @GeorgiaTech.
San Diego, USA
Joined November 2016
As Apple Intelligence is rolling out to our beta users today, we are proud to present a technical report on our Foundation Language Models that power these features on devices and cloud: https://t.co/TaAdd0fBOp. 🧵
machinelearning.apple.com
We present foundation language models developed to power Apple Intelligence features, including a ∼3 billion parameter model designed to run…
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My team at @dashlane is looking for a Javascript Software Engineer ( https://t.co/MK99Cvdvj4 ) and a Software Engineer Intern, Machine Learning ( https://t.co/dTbmPYDAZp) If you like low-level web development, ML engineering and research, this position may be for you!
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Copilot's model aka Codex from OpenAI: another huge language model trained on a huge dataset, without specific preprocessing. Impressive results for sure, but probably tricky to embed in real-time applications.
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TIL in this paper how encoding matrices can be used into Transformers: in the self-attention layer. Overall it interestingly demonstrates how possible it is to combine the two most trendy architectures at the moment: GNNs and Transformers!
Transformer is a GOOD graph learner when incorporating suitable graph structural information! Thrilled to share our new work: Transformer + simple but effective encodings = GNN achieving new SOTA on OGB datasets, ZINC! Paper: https://t.co/5r9mv6vRWq Code: https://t.co/GhKbwUSMxs
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Via une collègue qui se reconnaîtra. J'ai explosé de rire :-)
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Impressive robot capabilities from @pollenrobotics ! Congrats les Bordelais 🙂
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I always ***dumbly*** think of docker-containerizing my Python models as the final, simplest, and fastest step of my job. And every time, I tell myself "at least I learned something today". Sure.
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"Que vient faire le machine learning dans un logiciel de mot de passe ?" Enfin une explication claire, bravo @glazou ! @dashlane (2:00-10:00)
bsmart.fr
Mardi 6 avril 2021, SMART TECH reçoit Jean-Baptiste Djebbari (ministre délégué chargé des Transports) , Pierre-Etienne Franc (Co founder and CEO, FiveT Hydrogen) , Guillaume Crunelle (associé en...
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DBSCAN is a great algorithm for geo clustering. Using the Haversine distance and lat/lon coordinates, it yields consistent clusters. In this article, I introduce a way to integrate more features into the geo clustering process. https://t.co/dOpwEeTCBs
link.medium.com
DBSCAN is a powerful clustering algorithm used in various machine learning applications. A wide range of research has focused on…
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Meet #GoProHERO8 Black, the most versatile + unshakable HERO camera ever. 📷 ✔ Streamlined design ✔ Modular Accessories ✔ HyperSmooth 2.0️ ✔ TimeWarp 2.0 ✔ Digital Lenses + more. Pre-order now. 👉 https://t.co/IaIF75x0KR
#ThisIsAction #GoPro
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Some of my own frustrations inside too... "Why so many data scientists are leaving their jobs" by @Jonny_CBB
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DataVenture organise une école d'été de Data Science ! Une semaine de cours et ateliers pour les étudiants de l'@utcompiegne. A cette occasion, DataVenture met en place un partenariat avec la start-up Psycle, spécialisée en Intelligence Artificielle ! -> https://t.co/sCRwxNOgIN
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Today I implemented a common #algorithm implemented in your phones and more generally in every device embedding a camera. Applied to an image it produces this fancy space. To my computer science fellows, any guess?
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Welcome Yrieix, Data Scientist chez @craft_ai ! 🙌🏻 Au programme : « How XAI (Explainable AI) helps humans ? ». Présentation passionnante juste avant les soutenances de projets des étudiants à @utcompiegne.
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Nous accueillons aujourd’hui @coddity, partenaire principal de l’association. @chris_belliard, @MatthieuM_oreau et Clément Kérébel nous présentent leurs projets en Data Science ! Merci à eux pour leur investissement fort auprès des étudiants de @utcompiegne 🙌🏻🚀
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