Large genome model: Open source AI trained on trillions of bases

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes.
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
IEEE

IntegralCAM: Integral-based contribution estimation and visualization for convolutional neural networks

To explain how a convolutional neural network (CNN) processes an image, it is common to generate classification activation maps (CAMs) to reveal image areas that are relevant to output. Nevertheless, ...
IEEE

Enhancing Interpretability of Deep Canonically Correlated Autoencoders Through Convolutional Neural Networks and Visualization

Abstract: In this study, we studied unsupervised multiview learning techniques focused on maximizing correlation, particularly Deep Canonically Correlated Autoencoders (DCCAE). The goal of this study ...
Frontiers

Visible neural networks for multi-omics integration: a critical review

Biomarker discovery and drug response prediction are central to personalized medicine, driving demand for predictive models that also offer biological insights. Biologically informed neural networks ...
SDxCentral

Extreme Networks launches agentic AI networking platform

Extreme Networks has fully launched its Extreme Platform One, an agentic AI-focused network visualization offering. Revealed back in February, the platform is now generally available, with the vendor ...
Frontiers

Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification

Breast cancer remains the most prevalent malignancy in women globally, representing 11.7% of all new cancer cases (2.3 million annually) and causing approximately 685,000 deaths in 2020 (GLOBOCAN 2020 ...
istockphoto

Neural Network Visualization: 4K Motion Graphics - Enhance your AI presentations with this captivating 4K animation showcasing the complexity of neural network calculations. 4K ...

Motion graphics background with stream of multicolor neon glow lines form digital 3d space. Connection concept. Visualization of neural network operation, multiple calculations of various branches. 4K ...
C&EN

Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...