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Summary: A new study identified the architectural and evolutionary principles that govern how both children and artificial neural networks absorb language. The research bridges cognitive linguistics ...

Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation Patients who underwent initial consultation in a thoracic clinic between January 2019 and July 2023 ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Text-based depression estimation using natural language processing has emerged as a feasible approach for early mental health screening. However, most existing reviews often included studies with weak ...

Neoantigens have emerged as promising targets for personalized cancer immunotherapy. However, accurate identification of immunogenic neoantigens remains a challenge due to limitations in existing ...

Two business owners in India searched several cities for land suitable for a farmstead. When they finally found it, they encountered another obstacle. Ashish and Nipa Shah built a farmstead across a ...

Part of Pydantic Deep Agents — the open-source Claude Code alternative & Python agent framework. Use this library standalone, or get everything wired together in one create_deep_agent() call.

Abstract: Automatic text summarization has the aim to generate a concise version of a text while still preserving its main ideas, using an intelligent system. Developing an automatic text ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

ABSTRACT: Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as ...