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Content by Alberto Andreotti

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Alberto Andreotti is a senior data scientist on the Spark NLP team at John Snow Labs, where he implements state-of-the-art NLP algorithms on top of Spark. He has a decade of experience working for companies and as a consultant, specializing in the field of machine learning. Alberto has written lots of low-level code in C/C++ and was an early Scala enthusiast and developer. A lifelong learner, he holds degrees in engineering and computer science and is working on a third in AI. Alberto was born in Argentina. He enjoys the outdoors, particularly hiking and camping in the mountains of Argentina.

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This post will delve into the utilization of Visual NLP to manipulate pixel and overlay data within DICOM images. In the following examples, we will work with these two transformers:...

Join us in exploring the latest advancements in multimodal AI for extracting tabular data from visual documents. This session will delve into novel methods implemented in John Snow Labs’ Visual...

Lights, camera, action! Welcome to the future of information extraction with Visual NLP by John Snow Labs, where “OCR-Free” multi-modal AI models are stealing the show. Imagine a world where...

This release comes with new models for Handwritten Text Recognition, Spark 3.2 support, bug fixes, and notebook examples. Added to the ImageTextDetectorV2 New parameter 'mergeIntersects': merge bounding boxes corresponding to...

We are glad to announce that Spark NLP for Healthcare 3.1.2 has been released! This release comes with new features, new models, bug fixes, and examples. Highlights Support for Fine-tuning...
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