Auto-classification Computer Vision Natural Language Processing 
Marktechpost
JULY 31, 2024
Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics. It covers various aspects, from using larger datasets to preventing overfitting and moving beyond binary classification.
Marktechpost
MAY 28, 2024
Recent advancements in deep learning offer a transformative approach by enabling end-to-end learning models that can directly process raw biomedical data. Deep Learning in Medical Imaging: Deep learning, particularly through CNNs, has significantly advanced computer vision in medical imaging.
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Marktechpost
DECEMBER 16, 2023
A custom-trained natural language processing (NLP) algorithm, X-Raydar-NLP, labeled the chest X-rays using a taxonomy of 37 findings extracted from the reports. The X-Raydar achieved a mean AUC of 0.919 on the auto-labeled set, 0.864 on the consensus set, and 0.842 on the MIMIC-CXR test.
Marktechpost
AUGUST 10, 2023
They are showing mind-blowing capabilities in user-tailored natural language processing functions but seem to be lacking the ability to understand the visual world. To bridge the gap between the vision and language world, researchers have presented the All-Seeing (AS) project.
Towards AI
FEBRUARY 13, 2023
Hugging Face is a platform that provides pre-trained language models for NLP tasks such as text classification, sentiment analysis, and more. The NLP tasks we’ll cover are text classification, named entity recognition, question answering, and text generation. The pipeline we’re going to talk about now is zero-hit classification.
Viso.ai
DECEMBER 22, 2023
The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. SAM performs segmentation, a computer vision task , to meticulously dissect visual data into meaningful segments, enabling precise analysis and innovations across industries.
AWS Machine Learning Blog
NOVEMBER 22, 2023
With eight Qualcomm AI 100 Standard accelerators and 128 GiB of total accelerator memory, customers can also use DL2q instances to run popular generative AI applications, such as content generation, text summarization, and virtual assistants, as well as classic AI applications for natural language processing and computer vision.
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