Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

Our work includes, but is not limited to: model serving for deep learning, model architecture re-design, hyperparameter tuning during model serving, explainability, continuous model monitoring, and ...

Based on a unique deep learning architecture, a new computational model developed by researchers from the Center for Advanced Systems Understanding (CASUS) at HZDR and the Max Delbrück Center for ...

Generative AI, while transformative, carries a significant environmental cost due to the immense computational power and energy required for training large models like GPT-4 and Gemini, with a single ...

TIER IV, the pioneering force behind the world's first open-source software for autonomous driving, has developed an end-to-end architecture for Level 4+ autonomy, where no human intervention is ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

The center’s faculty seeks active engagement toward building a robust, comprehensive, and scalable solution for an end-to-end deep learning training and model-serving architecture. Your membership ...