Nuclear medicine is a rapidly evolving domain at the intersection of advanced radiopharmaceuticals, hybrid imaging modalities such as PET/CT and PET/MR, and ...
We present the InternSVG family, an integrated data–benchmark–model suite. The InternSVG-8B model is available at Hugging Face. It is based on the InternVL3-8B model, incorporating SVG-specific tokens ...
As self-service becomes the first stop in contact centers, AI agents now define the frontline customer experience. Modern customer interactions span voice, text, and visual channels, where meaning is ...
China’s Moonshot AI, which is backed by the likes of Alibaba and HongShan (formerly Sequoia China), today released a new open source model, Kimi K2.5, which understands text, image, and video. The ...
Researchers at the University of Pennsylvania have launched Observer, the first multimodal medical dataset to capture anonymized, real-time interactions between patients and clinicians. Much like the ...
Study: Multimodal AI generates virtual population for tumor microenvironment modeling A recent study published in the journal Cell explored the capabilities of GigaTIME, a multimodal AI framework ...
French AI startup Mistral launched its new Mistral 3 family of open-weight models on Tuesday, a launch that aims to prove it can lead in making AI publicly available and serve business clients better ...
French AI startup Mistral unveiled a new suite of models on Tuesday. The company is one of Europe's leading AI startups and raised 11.7 billion euros in September. The release comes a day on from a ...
As robots tackle increasingly complex environments and tasks, their artificial intelligence needs to be able to process and use data from many sources. Encord today launched EBIND, an embedding model ...
A ready-to-run multimodal dataset and processing code for protein function prediction in budding yeast (Saccharomyces cerevisiae). It ties together: Protein–protein interaction (PPI) network (STRING) ...
Tether's artificial intelligence (AI) research arm has unveiled QVAC Genesis I, the largest synthetic dataset ever created for AI training, comprising 41 billion text tokens. The dataset is designed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results