Category: Deep Learning Architectures

Description: Various neural network architectures designed for vision tasks.
Examples: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer-based models.
Use Cases: Image classification, style transfer, and feature extraction.

Deep Learning Architectures

Intelligent Spacecraft Visual GNC Architecture With the State-Of-the-Art AI Components for On-Orbit Manipulation – Frontiers

Aggregated News

Introduction With the increasing interest in orbital robotic manipulation for on-orbit servicing missions, the future Guidance, Navigation, and Control (GNC) systems are inclined to implement intelligent on-board systems with greater autonomy to address the challenges associated with the time-critical and highly unpredictable scenarios. To clarify the definition of GNC for future space robotic systems, we have included the manipulation of the robotic arms together with the conventional spacecraft GNC system, such as the Attitude and Orbit Control System (AOCS). Both these systems should be seamlessly integrated in order to fully…

Read More
Deep Learning Architectures

How can AI cope with changing categories? – EurekAlert

Aggregated News

video:  Bar-Ilan University researchers have uncovered a new universal law detailing how artificial neural networks handle an increasing number of categories for identification. This law demonstrates how the identification error rate of such networks increases with the number of required recognizable objects. view more  Credit: Prof. Ido Kanter, Bar-Ilan University The real world possesses many challenges for AI missions. One of those challenges is the requirement that machines will be able to recognize and quickly learn new objects which they have not seen before. An AI robust to changes will…

Read More
Deep Learning Architectures

Automatic classification of normal and abnormal cell division using deep learning | Scientific Reports – Nature.com

Aggregated News

Abstract In recent years, there has been a surge in the development of methods for cell segmentation and tracking, with initiatives like the Cell Tracking Challenge driving progress in the field. Most studies focus on regular cell population videos in which cells are segmented and followed, and parental relationships annotated. However, DNA damage induced by genotoxic drugs or ionizing radiation produces additional abnormal events since it leads to behaviors like abnormal cell divisions (resulting in a number of daughters different from two) and cell death. With this in mind, we…

Read More