python 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...
python python Epistemic uncertainty and AI complementation
epistemic uncertainty
Epistemic Uncertainty refers to uncertainty arising from a lack or incompleteness of...
python Rescaling of Newton’s method
Rescaling of Newton's method
Rescaling in Newtonian methods is one of the methods used in numerical optimisatio...
テクノロジー:Technology All-solid-state batteries and AI technology
Challenges with existing lithium-ion batteries.
Lithium-ion batteries used in electric vehicles and other applic...
python Can life be created?
Between life and non-life
A number of books have been published on the subject of between life and non-life. B...
python Overview of Adaptive PSO (Self-Adaptive Particle Swarm Optimisation) and examples of algorithms and implementations
Adaptive PSO (Self-Adaptive Particle Swarm Optimisation) Overview
Adaptive PSO (self-adaptive particle swarm o...
python Temporal Graph Neural Network overview and implementation examples
Temporal Graph Neural Network
Temporal Graph Neural Networks (TGNNs) are deep learning methods for process...
python Overview of spatio-temporal deep learning and examples of algorithms and implementations
Overview of spatio-temporal deep learning
Spatiotemporal Deep Learning (Spatiotemporal Deep Learning) is a m...
python Aleatory uncertainty and AI-based solutions
Aleatory Uncertainty
Aleatory Uncertainty will mainly refer to uncertainty caused by natural phenomena and...
python How to improve linear convergence in Newton’s method
How to improve linear convergence in Newton's method
The Newton method, also described in ‘Overview of the Newt...