SynTheSet @SynTheSet
Génération de données synthétiques pour l'apprentissage IA robuste syntheset.com Lyon, France Joined November 2022-
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AI Image Generation Using DALL-E 2 Has Promising Future in Radiology Text-to-image generation deep learning models like OpenAI's DALL-E 2 can be a promising new tool for image augmentation, generation, and manipulation in a healthcare setting. #dalle2 #ai #neuroscience neurosciencenews.com/dalle-ai-neuro…
Could Stable Diffusion Solve a Gap in Medical Imaging Data? hai.stanford.edu/news/could-sta…
📢 I am happy to share our paper "NeRFshop: Interactive Editing of Neural Radiance Fields" 🎨, to be presented at I3D 2023! 🌐: repo-sam.inria.fr/fungraph/nerfs… 🎥: youtu.be/HC56Zwui1bY 1/6
5 Reasons Why You Need Synthetic Data: Collecting and labeling data in the real world can be time-consuming and expensive. This data can also come with quality, diversity, and quantity issues. Fortunately, problems like these can be helped with synthetic… kdnuggets.com/2023/02/5-reas…
#LLaMA arxiv.org/abs/2302.13971 #FUNCTA arxiv.org/abs/2201.12204 Les ingénieurs Français sont des génies de l’IA… mais pas en France : radioscopie d’un énorme gâchis atlantico.fr/article/decryp… via @atlantico_fr
#ChatGPT is just the beginning of #GenerativeAI; numerous use cases for generative AI can be made for various industries, from automotive to pharmaceutical. Check out the 5️⃣ industry use cases for generative AI ➡ gtnr.it/3kNAv8f #GartnerIT #AI
AI learns to write computer code in ‘stunning’ advance science.org/content/articl…
What is synthetic data — and how can it help you competitively? mitsloan.mit.edu/ideas-made-to-… via @MITSloan
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images. #DataScience #ComputerVision hubs.li/Q01tKbvL0
In machine learning, synthetic data can offer real performance improvements news.mit.edu/2022/synthetic…
[Sur le #blog de SystemX 🖥] #Simulation physique augmentée par l’#IA : enjeux et démarche de validation ✍️ Par Mouadh Yagoubi (#IRTSystemX) et @evomarc (@Inria_Saclay) 🔗 bit.ly/SystemXBlog-IA
How to Democratize AI/ML and Data Science with AI-generated Synthetic Data - KDnuggets: kdnuggets.com/2022/11/mostly…
“The better the synthetic data you have, the less real data you need — obtaining real data is a hassle, so you want to reduce that as much as possible without sacrificing accuracy,” said Alex Greenberg, director of advanced robotics simulation at Siemens
Siemens Taps Omniverse Replicator on AWS for Synthetic Data Generation to Accelerate Defect Detection Model Development by 5X blogs.nvidia.com/blog/2022/11/2…
Le cycle du jumeau numérique syntheset.com/jn/ via @syntheset
Digital twins: The foundation of the enterprise metaverse mck.co/3rJsfWZ via @McKinsey
Qu’est ce que le « domain randomization »? syntheset.com/comment-augmen… via @syntheset
Why data remains the greatest challenge for machine learning projects venturebeat.com/ai/why-data-re… via @VentureBeat
The multi-billion-dollar potential of synthetic data venturebeat.com/ai/the-multi-b… via @VentureBeat
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