
WiMLDS Paris
@WiMLDS_Paris
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Paris Women in Machine Learning & Data Science chapter | 2019 Science & Research Award | 💻 @MrsCaroline_C @cazencott @ncernecka @MarieSacksick @bennis_jihane
Paris, France
Joined August 2017
[🥇] The team took the time to reflect on the Science & Research @WomenInTechOrg award we won last week! We are proud to represent @wimlds in Paris & #WomeninSTEM! Meet @AyumiMooreAoki @WiTWorld_ @StemTalentGirl @ZimbaWomen @appsandgirls #WiMLDParis
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RT @AIatMeta: Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Lla….
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👋👋🏽👋🏿 Our X account will be inactive from today. You can find us on Meetup, Medium, YouTube and start following us on Bluesky : and LinkedIn
linkedin.com
Paris Women in Machine Learning and Data Science | 4,178 followers on LinkedIn. We raise visibility of women active in ML / DS and are open to everybody regardless of gender or background | WiMLDS is...
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RT @Inria_Academy: #IA et #Sante les modèles prédictifs améliorent les diagnostics & optimisent les traitements.🎧IA et Santé : des modèles….
inria-academy.fr
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RT @mer__edith: 📢NEW: 'Open' AI systems aren't open. The vague term, combined w AI hype is (mis)shaping policy & practice, assuming 'open s….
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RT @QuirineTB: Are you interested in working on #OneHealth related #epi #modelling questions at the livestock-human-wildlife interface? Loo….
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RT @zdeborova: I would like to think about this as an invitation that physics extends towards AI/ML to think like physicists: -"Let's figur….
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RT @MrsCaroline_C: Parce que ce sera un vendredi soir, nous débuterons légèrement plus tôt que d'habitude pour vous permettre de profiter d….
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RT @mer__edith: NEW PAPER!. 1. Small AI models often perform better than big in context. 2. Obsession w bigness has bad consequences, from….
arxiv.org
With the growing attention and investment in recent AI approaches such as large language models, the narrative that the larger the AI system the more valuable, powerful and interesting it is is...
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RT @CarolaDoerr19: As a former Feodor Lynen fellow, I’d be happy to host researchers from Germany here at Sorbonne University in Paris. Do….
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RT @j_m_sommer: @PrunaAI is hosting the next @WiMLDS_Paris session on October 11th! Join us in Paris to hear from these amazing speakers 😊.
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RT @MrsCaroline_C: Pour notre 50ème meetup @WiMLDS_Paris, nous voyons les choses en grand et accueillons @ColletIsabelle4 et Irène Waldspur….
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RT @ACMRecSys: Beautiful Monday: RecSys'24 is less than a month away! 🎉 . As always, the Women in RecSys Keynote Series hosts 4 amazing spe….
recsys.acm.org
Women in RecSys
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RT @MrsCaroline_C: La semaine prochaine, @WiMLDS_Paris se joint à la conférence #AutoML sur l'initiative de @CarolaDoerr19 !. Il reste des….
meetup.com
WiMLDS is a community of women interested in Machine Learning & Data Science. We host events (lightning talks, technical workshops, paper study lunches and networking events) managed by prominent...
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RT @MrsCaroline_C: - 2 days to #EDS2024! Excited to tackle "AI²: Why AI Should Be All-Inclusive," diving into the ethics, biases, and barr….
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RT @CarolaDoerr19: 🥳Glad that you liked our warm-up event. After the Olympics, we can't wait to welcome the AutoML community here in Paris,….
meetup.com
The Women in Machine Learning & Data Science (WiMLDS) Meetup aims to inspire, educate, regardless of gender, and support women and gender minorities in the field. **We are
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RT @WiMLworkshop: We are excited to showcase Women in Machine Learning, highlighting Jessica Shrouff, a Senior Research Scientist at Google….
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RT @CarolaDoerr19: Excited that we’ll be hosting the joint WiMLDS@AutoML meetup in Jussieu on September 10 (note the unusual date, Tuesday)….
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RT @MrsCaroline_C: The @WiMLDS_Paris team is proud to announce our next meetup in collaboration with the AutoML Conference happening in Par….
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RT @GaelVaroquaux: ⚡️ CARTE: toward table foundation models⚡️. . Why foundation models for tables are hard, and why….
gael-varoquaux.info
Note Foundation models, pretrained and readily usable for many downstream tasks, have changed the way we process text, images, and sound. Can we achieve similar breakthroughs for tables? Here...
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