Professor MinWoo Kim’s research team newest development, MoGLo-Net, solves the extensive 3D imaging problems. MoGLo-Net is a deep learning model that automatically tracks transducer movements without ...

Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.

Neural Radiance Fields (NeRFs): This genAI model uses a deep learning technique to represent 3D scenes based on 2D image inputs. Generative AI models are highly scalable and accessible AI ...

The deep learning model processes the image through its layers of neurons. Then, the AI model successfully identifies and classifies the image, showcasing its ability to interpret complex visual data.

Deep Learning (DL) is, in essence, Machine Learning on steroids. It’s a specialized subfield that focuses on algorithms inspired by the structure of the brain, known as artificial neural networks.

Purdue University researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body – paving the way to producing accurate structure models of ...

Writer: Chris Adam, 765-588-3341, [email protected] Source: Daisuke Kihara, [email protected] Abstract Protein docking model evaluation by 3D deep convolutional neural networks Xiao Wang, Genki Terashi, ...