We cross-validated four pretrained Bidirectional Encoder Representations from Transformers (BERT)–based models—BERT, BioBERT, ClinicalBERT, and MedBERT—by fine-tuning them on 90% of 3,261 sentences ...

blocks: Consists of building blocks of the architecture. configs/{dataset_name}: Consists of model specific configuration files for each dataset. data: Consists of data loader files. decoders: ...

Over the past six years, artificial intelligence has been significantly influenced by 12 foundational research papers. One ...

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...

smiles-encoder is a Python package used to generate one-hot vectors representing SMILES strings (each string element is a one-hot vector). To contribute to smiles-encoder, make a pull request.

Abstract: Improving anomaly detection accuracy in time series data is essential for the operation of communication networks. Encoder-decoder models, which learn the correlations within the data, have ...

The Blackmagic Streaming Encoder HD is a streaming processor with H.264 for streaming in HD via SRT or RTMP protocols to services such as YouTube. Includes USB webcam, 12G‑SDI input with built-in ...

Abstract: Long-term time-series forecasting remains a critical challenge, with deep learning models often facing persistent training instability. This study reveals a critical insight: the ...

Northwestern University scientists have developed the most advanced organoid model for human spinal cord injury to date. In a new study, the research team used lab-grown human spinal cord organoids - ...