How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

The two neural networks that make up a GAN are referred ... Researchers have also crafted various kinds of GAN architectures to generate music that captures the essence of human-like compositions.

This paper proposes an improved gray-box modeling technique that combines the accuracy of the neural network (NN) technique with the physical ... The proposed approach was applied to GaN High Electron ...

GaN is especially well-established in low-power applications ... However, the spacing between devices is still constrained by the need for adequate isolation. Vertical device architectures allow ...

introduced the concept of Generative Adversarial Networks (GANs), where two neural networks, i.e., the generator and ... Subsequent breakthroughs in Transformer-based architectures brought predictive ...

Source code for the paper "Automatic Fused Multimodal Deep Learning for Plant Identification" (Alfreds Lapkovskis, Natalia Nefedova & Ali Beikmohammadi, 2024) ...