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Browsing: Multimodal
Gaming companies face an unprecedented challenge in managing their advertising creative assets. Modern gaming companies produce thousands of video advertisements for A/B testing campaigns, with some…
Amazon Nova Multimodal Embeddings processes text, documents, images, video, and audio through a single model architecture. Available through Amazon Bedrock, the model converts different input modalities…
Stanford Researchers Build SleepFM Clinical: A Multimodal Sleep Foundation AI Model for 130+ Disease Prediction
A team of Stanford Medicine researchers have introduced SleepFM Clinical, a multimodal sleep foundation model that learns from clinical polysomnography and predicts long term disease risk…
Google just dropped T5Gemma-2, and it is a game-changer for someone working with AI models on everyday hardware. Built on the Gemma 3 family, this encoder-decoder…
Meta AI Open-Sourced Perception Encoder Audiovisual (PE-AV): The Audiovisual Encoder Powering SAM Audio And Large Scale Multimodal Retrieval
Meta researchers have introduced Perception Encoder Audiovisual, PEAV, as a new family of encoders for joint audio and video understanding. The model learns aligned audio, video,…
What you need to knowNotebookLM is now powered by Gemini 3, replacing the Gemini 2.5 Flash model.The switch adds Google’s “most intelligent model” to the note-taking…
Powering enterprise search with the Cohere Embed 4 multimodal embeddings model in Amazon Bedrock
The Cohere Embed 4 multimodal embeddings model is now available as a fully managed, serverless option in Amazon Bedrock. Users can choose between cross-Region inference (CRIS) or…
Baidu Releases ERNIE-4.5-VL-28B-A3B-Thinking: An Open-Source and Compact Multimodal Reasoning Model Under the ERNIE-4.5 Family
How can we get large model level multimodal reasoning for documents, charts and videos while running only a 3B class model in production? Baidu has added…
Even strong ‘long-context’ AI models fail badly when they must track objects and counts over long, messy video streams, so the next competitive edge will come…
Generalist AI Introduces GEN-θ: A New Class of Embodied Foundation Models Built for Multimodal Training Directly on High-Fidelity Raw Physical Interaction
How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled…
