Combining 3D printers and generative AI and applying GNNs.
Overview of 3D printers
A 3D printer is a device for creating a three-dimensional object from a digital model, w...
AnoGAN Overview, Algorithm and Implementation Examples
Overview of AnoGAN
AnoGAN (Anomaly GAN) is a method that utilizes Generative Adversarial Network (GAN) for an...
KL divergence constraint
KL divergence constraint
The KL divergence (Kullback-Leibler Divergence) is an asymmetric measure of simil...
Alternative methods of numerical differentiation in the calculation of derivatives of Newton’s method
Alternative methods of numerical differentiation in the calculation of derivatives of Newton's method
The Newto...
Issues and trends in semiconductor technology and AI technology
Challenges in semiconductor miniaturisation
Chip miniaturisation, the most significant challenge in semi...
The world is made of relations – Carlo Rovelli’s quantum theory and the imperial web
The world is made up of relationships.
Carlo Rovelli's*Helgoland* presents a ‘relational interpretation’ of quan...
ABC (Artificial Bee Colony Algorithm) overview, algorithms and implementation examples
Overview of ABC（Artificial Bee Colony Algorithm）
ABC (Artificial Bee Colony Algorithm) is one of the swarm int...
LIDAR (Light Detection and Ranging), generative AI and GNNs.
LIDAR（Light Detection and Ranging）
LIDAR (Light Detection and Ranging, LIDAR) is a technology that uses laser l...
Overview of 3DCNN and examples of algorithms and implementations
Overview of 3DCNN
3DCNN (3D Convolutional Neural Network: 3D Convolutional Neural Network) is a type of deep...
Epistemic uncertainty and AI complementation
epistemic uncertainty
Epistemic Uncertainty refers to uncertainty arising from a lack or incompleteness of...