ImageBind: Holistic AI learning across six modalities “larger vision models benefit nonvision tasks, such as audio classification, and the benefits of training such models go beyond computer vision tasks.” https://
ai.facebook.com/blog/imagebind
-six-modalities-binding-ai/
…
MULTIMODAL AI
-
ImageBind: AI Model Learning Across Six Modalities
By
–
-
Meta unveils ImageBind, a multi-modal model
By
–
Meta's new ImageBind model binds data from six modalities at once (images and video, audio, text, depth, thermal and inertial measurement units) without the need for explicit supervision.
— AI Breakfast (@AiBreakfast) 9 mai 2023
This is the precursor to creating your own metaverse. pic.twitter.com/YyVJjgyOPqMeta's new ImageBind model binds data from six modalities at once (images and video, audio, text, depth, thermal and inertial measurement units) without the need for explicit supervision. This is the precursor to creating your own metaverse.
-
Multimodal Machine Learning Resources Collection Started
By
–
I have started to put multimodal machine learning resources together. It contains courses, lecture videos, survey papers, workshops, so far. Give us a star if you like it 😀
-
ImageBind: Revolutionary Multi-Modal AI Model for Six Data Types
By
–
ImageBind: One Embedding Space To Bind Them All ImageBind is a new and the first model capable of learning from six modalities(images, text, audio, depth, thermal, and IMU data). ImageBind extends zero-shot capabilities of vision-language systems to new modalities by using
-
ImageBind: Meta AI’s Multimodal Model Binding Six Data Types
By
–
Introducing ImageBind by Meta AI: the first AI model capable of binding data from six modalities at once. This breakthrough brings machines one step closer to the human ability to bind together information from many different senses.
— AI at Meta (@AIatMeta) 9 mai 2023
More on this new open source work ⬇️Introducing ImageBind by Meta AI: the first AI model capable of binding data from six modalities at once. This breakthrough brings machines one step closer to the human ability to bind together information from many different senses. More on this new open source work
-
SAS and UNC Use AI to Protect Endangered Galapagos Sea Turtles
By
–
What a cool #STEM bonus today! … seeing this #CitizenScience initiative at @SASsoftware working with @UNC_Galapagos to identify and protect endangered sea turtles.
====
#SASVisionary #SASInnovate #AI #MachineLearning #DataScience #ComputerVision #DeepLearning -
Meta ImageBind Open Source Multimodal AI Model Research
By
–
Everything is a vector! https://
theverge.com/2023/5/9/23716
558/meta-imagebind-open-source-multisensory-modal-ai-model-research
… -
Diffusion Models Brittleness and Non-Determinism Issues
By
–
The more I deal with diffusion models – the more brittle they appear. The non-determinism is low-key pissing me off specially for TTS.
-
Voice cloning and translation between Lex Fridman and Jordan Peterson
By
–
Demo:
— AI Breakfast (@AiBreakfast) 8 mai 2023
Voice cloning with language translation between @lexfridman and @jordanbpeterson pic.twitter.com/oc0KPWf8tNDemo: Voice cloning with language translation between @lexfridman and @jordanbpeterson
-
Using Meta’s DinoV2 AI Model for Large-Scale Tree Canopy Analysis
By
–
J'adore cette application de @MetaAI , qui a utilisé un de leurs derniers model de computer Vision (DinoV2) pour analyser la hauteur des arbres (un par un!) à l'échelle des continents pour aider à calculer le dioxyde de carbone absorbé ! GG !https://t.co/3KdQVHuC9Y pic.twitter.com/GVAw7wR9Fa
— Defend Intelligence (Anis Ayari) (@DFintelligence) 8 mai 2023J'adore cette application de @MetaAI , qui a utilisé un de leurs derniers model de computer Vision (DinoV2) pour analyser la hauteur des arbres (un par un!) à l'échelle des continents pour aider à calculer le dioxyde de carbone absorbé ! GG ! https://
research.facebook.com/blog/2023/4/ev
ery-tree-counts-large-scale-mapping-of-canopy-height-at-the-resolution-of-individual-trees/?utm_source=linkedin&utm_medium=organic_social&utm_campaign=blog&utm_content=video
…