We introduce an approach to building a custom model from ready-made self-supervised models via their associating instead of training …

Reinforcement learning (RL) agents need to explore their environments in order to learn optimal policies. In many environments and …

State-of-the-art generative models (e.g. StyleGAN3) often generate photorealistic images based on vectors sampled from their latent …

Classical neural networks achieve only limited convergence hard problems such as XOR or parity when the number of hidden neurons is …

Robotics sets have been successfully used in elementary and secondary schools in conformance with the ’learning through …

The main stream of educational robotics platforms orbits the various versions of versatile robotics sets and kits, while interesting …