Yves Raimond
@moustakiDirector of Machine Learning at Google, formerly Netflix, BBC R&D and Centre for Digital Music at QMUL. He/him.
Similar User
@JustinBasilico
@ACMRecSys
@bobdc
@mounialalmas
@juansequeda
@FrankVanHarmele
@rtroncy
@AndySeaborne
@fabien_gandon
@danja
@olivierjeunen
@semwebcompany
@erishabh
@danbri
@cweichen
I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks,…
5-6 years ago I was working on music generation at DeepMind, but let me tell you, this is... something else. Incredibly excited to be able to finally share what our team has been working on!
Thrilled to share #Lyria, the world's most sophisticated AI music generation system. From just a text prompt Lyria produces compelling music & vocals. Also: building new Music AI tools for artists to amplify creativity in partnership w/YT & music industry deepmind.google/discover/blog/…
The full recording of our #RecSys2023 workshop can now be found online. Tell your friends! @ACMRecSys youtu.be/WRRnsZfcQ9g
We're launching Keras Core, a new library that brings the Keras API to JAX and PyTorch in addition to TensorFlow. It enables you to write cross-framework deep learning components and to benefit from the best that each framework has to offer. Read more: keras.io/keras_core/ann…
As Bard and LaMDA Research Platform lead, I am excited for people to try Bard. It's experimental and early stages, but the user feedback will be very useful and help develop this new technology.
Bard is now available in the US and UK, w/more countries to come. It’s great to see early @GoogleAI work reflected in it—advances in sequence learning, large neural nets, Transformers, responsible AI techniques, dialog systems & more. You can try it at bard.google.com
REVEAL is over, we continue tomorrow as CONSEQUENCES!🗼🌄 Don't miss our tutorial and keynotes given by: - @usait0en recently listed in Forbes - JAPAN 30 under 30 - @LihongLi20 Senior Principal Scientist at Amazon - Guido Imbens - co-awarded the Nobel Prize in Economics in 2021
The full program and schedule for both the REVEAL and CONSEQUENCES workshop days can now be found on our website: sites.google.com/view/consequen… #RecSys2022
We will have a whopping 21 contributions presented at our #RecSys2022 workshop, just over 2 weeks away. The titles and authors are now listed on our webpage: have a look, and see you soon @ACMRecSys! sites.google.com/view/consequen…
Quick professional update: after 8 amazing years at @NetflixResearch (time flies!), I started last week at Google, where I'll be focusing on ML for user modeling & personalization -- excited about taking on a new challenge!
One week left until CONSEQUENCES and REVEAL @ACMRecSys workshop deadline (8/5) sites.google.com/view/consequen…
Want to learn about RecSysOps: Best Practices for Operating a Large-Scale Recommender System? See our Ehsan Saberian's presentation at NVidia's virtual Recommender Systems Summit on July 28th: events.nvidia.com/recommender-sy…
🚨 2 weeks left to submit your contributions! 🚨 Be sure to start writing in time, and we look forward to seeing all of you in person (or virtually) in Seattle at #RecSys2022!
Consider submitting your contributions to our 2-day #RecSys2022 workshop on counterfactuals, causality, sequential decision-making and reinforcement learning for recommender systems. Deadline August 5th, submissions open now: cmt3.research.microsoft.com/CONSEQUENCES20… Spread the word!
CfP for the CONSEQUENCES and REVEAL workshops on counterfactual and reinforcement-learned recommender systems here: sites.google.com/view/consequen… -- Deadline August 5th! Should be an awesome two days at #recsys2022 :)
Come join us for two days of counterfactual and reinforcement-learned recsys!
We're delighted to share that the CONSEQUENCES and REVEAL workshops have merged into one! Organisers are now actively working towards an exciting two-day programme on causality, counterfactuals and reinforcement learning at #RecSys2022
Come join us on May 25 (Los Gatos) and May 27 (LA)!
Netflix is hosting a workshop on ML for Content Creation in Los Gatos & Los Angeles (May 25, 27) featuring distinguished speakers from academia + industry. In person & open to all researchers/practitioners in the field with RSVP: machinelearninghub.splashthat.com
The recording of our #RecSys2021 tutorial on counterfactual evaluation and learning is now available! youtu.be/HMo9fQMVB4w
Want to know the story of Deep Learning at Netflix? Read our paper in AI Magazine's Recommender Systems issue: "Deep Learning for Recommender Systems: A Netflix Case Study": ojs.aaai.org/index.php/aima…
Check out the workshop on Personalization and Recommendations in Search coorganized by our @__sudarshan__ and @moumita_bh at #WSDM2022. Submissions due by 12/18.
The #WSDM2022 program is so rich with workshops this year. The PaRiS Workshop on Personalization and Recommendations in Search, will provide a forum for discussions of algorithmic and system challenges. Check for more info here: paris2022.github.io/www/index.html
Interested in building the systems that we use to create the machine learning algorithms for personalizing the Netflix homepage? We're hiring a software engineer to join our team. Read more and apply here: jobs.netflix.com/jobs/137785412
United States Trends
- 1. #DWTS 8.930 posts
- 2. Dame 49 B posts
- 3. #WWENXT 7.895 posts
- 4. Sharon Stone 11,6 B posts
- 5. Rylee 1.078 posts
- 6. John Kerry 7.566 posts
- 7. Effy 1.470 posts
- 8. #RTXOn 16,6 B posts
- 9. Ilona 1.908 posts
- 10. Mikey 12,6 B posts
- 11. Ricky 36,8 B posts
- 12. Carrie Ann N/A
- 13. Happy Thanksgiving 36,4 B posts
- 14. UConn 15,2 B posts
- 15. Damian Lillard 1.133 posts
- 16. Hezbollah 233 B posts
- 17. Sewing 9.721 posts
- 18. DeBrusk 1.389 posts
- 19. Thankful 76,7 B posts
- 20. #RussianBankCollapse 9.045 posts
Who to follow
-
Justin Basilico
@JustinBasilico -
ACM RecSys
@ACMRecSys -
Bob DuCharme
@bobdc -
Mounia Lalmas
@mounialalmas -
Juan Sequeda
@juansequeda -
Frank van Harmelen
@FrankVanHarmele -
Raphaël Troncy
@rtroncy -
Andy Seaborne
@AndySeaborne -
Fabien Gandon
@fabien_gandon -
Danny Ayers 🌳
@danja -
Olivier Jeunen
@olivierjeunen -
Semantic Web Company
@semwebcompany -
Rishabh Mehrotra
@erishabh -
Dan Brickley
@danbri -
Ching-Wei Chen
@cweichen
Something went wrong.
Something went wrong.