Sylvain Marchienne

@ElCuistoo J’ai eu la même ! Mais en déclassée, moins belle que toi, je l’embarque aux USA avec moi

Je suis aux anges Je ne pouvais pas rêver mieux Quelle merveille Une poêle que vais garder à vie 🥹

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: machinelearning.apple.com/research/apple…. 🧵

@glazou Coke visuelle!

ping @sylvainmarch

@glazou @Apple @dashlane This is very true

Hey @Apple , the VERY best autofill available for the Web is inside @dashlane (Marshmallow team rulz forever) with many code bits of yours truly in, and I look forward to testing yours :-) /ping @sylvainmarch theverge.com/2024/6/6/24173…

Shadow DOM, Web Components, WebExtensions and how @dashlane is leading on that front. With bits of yours truly inside. blog.dashlane.com/shadow-dom-bet…

My team at @dashlane is looking for a Javascript Software Engineer (boards.greenhouse.io/dashlane/jobs/… ) and a Software Engineer Intern, Machine Learning (boards.greenhouse.io/dashlane/jobs/…) If you like low-level web development, ML engineering and research, this position may be for you!

@ClementDelangue Les quais, je crois que ça fait l’unanimité de tous les runners Parisiens !

Forgot that it was so difficult to run on Paris’ pavements. Does everyone run in parks here?

@plhery @hexicans Mon iPhone 7 Plus de 2018 😬

Premier pour-cent perdu sur mon iPhone 12 Pro Max de novembre

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. arxiv.org/abs/2107.03374

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!

@jjerphan Très très bonne idée ça 👌⏹

@sylvainmarch Soon: 2021, édition croziflette au maroille. 🧀

2020

Via une collègue qui se reconnaîtra. J'ai explosé de rire :-)

Impressive robot capabilities from @pollenrobotics ! Congrats les Bordelais 🙂 youtube.com/watch?v=f64NRs…

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.

"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/video/5071-sma…

Come and try! blog.dashlane.com/autofill-machi…

@MrAstroThomas Exciting! Let me know if you get satisfying results with this method

@sylvainmarch Nice article. I gives me some ideas to apply these ideas for another spherical coordiante system: the sky. Will try it out for some data

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. link.medium.com/PXKlJ4Opc7

@GygliMichael I have been reading a lot about Video Summarization recently and it seems to me me that you pioneered the task. To your mind, what's the current state of the art method? Supervised? Unsupervised?