The 330 million parameter model was trained using Azure’s A100 GPUs and fine-tuned through a multi-phase process.

Article citations More>> Chen, J., Lu, Y., Yu, Q., et al. (2021) Transunet: Transformers Make Strong Encoders for Medical Image Segmentation. has been cited by the following article: TITLE: Polyp ...

Google has released Gemma 3n, a new generation of open, mobile-first AI models that bring powerful multimodal capabilities to ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

This article investigates the potential of dual CNN-Transformer architectures for generalizable few-shot anomaly detection (GFSAD), a practical yet understudied form of anomaly detection (AD). In ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting highly skewed ...

After a failed attempt to use an LM567 tone decoder chip, he stumbled upon [matseng]’s KCSViewer project, which decodes KCS-encoded audio signals using nothing but discrete components.