Old videos, AI-generated imagery and misleading captions are circulating widely on social media as the conflict unfolds ...

At the heart of today’s artificial-intelligence models are vast bodies of training data — text, videos and images created by real people and used to teach models how to recognize patterns and generate ...

Smarter document extraction starts here.

Scene text image super-resolution (STISR) aims to improve the visual clarity of the text in low-resolution scene images. Due to the intrinsic lack of detailed text appearance information in the ...

Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

Humans don't just passively observe; we actively engage with visual information, sketching, highlighting, and manipulating it to understand. OpenThinkIMG aims to bring this interactive visual ...

Apple's autocorrect on iPhone and iPad always aims to help when you're typing a message, but it's by no means perfect, and some of the replacements it continually spews out can be frustrating.

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

OCR Extractor is a simple Obsidian plugin that uses OCR to extract text from documents, images, etc. embedded in your notes. Different OCR services (free or paid, local or cloud-based) are available, ...

Abstract: In spite of the fact that Braille is an important channel of communication for the visually impaired, conventional systems require specialized training and expensive devices that are hard to ...