CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

ABSTRACT: Addressing the long-standing structural disconnection issues of “having towns without industries” and “having industries without towns” at the township level in China, and in the context of ...

LAMMPS-GUI used to "live" in the "tools/lammps-gui" folder of the LAMMPS source distribution and the LAMMPS git repository. This made it easy to build LAMMPS-GUI together with LAMMPS. However, ...

Current GUI grounding approaches rely heavily on large-scale pixel-level annotations and training-time optimization, which are expensive, inflexible, and difficult to scale to new domains. we observe ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

Background: The integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

Supervised fine-tuning (SFT) is the standard training paradigm for large language models (LLMs) and graphic user interface (GUI) agents. However, SFT demands high-quality labeled datasets, resulting ...