Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...
Multimodal AI models are supposed to handle ever-longer documents, but how they're trained to do so usually stays a trade secret. A new study shows that character recognition as a training task ...
Summary: Canaries are master vocalists, capable of learning and stringing together 30 to 40 distinct syllables into complex, life-long songs. Now, researchers have developed TweetyBERT, a ...
Abstract: Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a ...
An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...
We are accepting requests for features that will be implemented between v0.9.0 and v.1.0.0. If you have the API you need, please submit your issue here. go-json-fuzz is the repository for fuzzing ...
A screenshot of Mu performing real-time question answering. Image: Windows YouTube channel The Mu small language model enables an AI agent to take action on hundreds ...
Abstract: The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered ...
Meta and Stanford researchers have developed Apollo, a new family of AI models that tackles one of AI's persistent challenges: getting machines to truly understand videos. While AI has made huge ...
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