Sponges are capable of rebuilding entire functional organisms from dissociated somatic cells. This feat demands radical cytoskeletal reprogramming whose molecular logic remains obscure. Using the ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
If you are searching for ways to take your AI art generation and creativity to the next level when using the Stable Diffusion AI art generator you might be interested in this guide that provides a ...
This is an implementation of MTCNN (Multitask Cascading Convolutional Networks) for the ESP32-S3 SoC (System on Chip) using TensorFlow Lite for Microcontrollers. The main goal is to detect faces in ...
Detecting copy number variations (CNVs) and copy number alterations (CNAs) based on whole-genome sequencing data is important for personalized genomics and treatment. CNVnator is one of the most ...
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