Artificial Intelligence is no longer a futuristic concept; it is the backbone of modern software products, automation systems, generative AI platforms, and enterprise decision-making tools. If you ...

There are many experimental techniques that allow magnetic properties to be probed, but often they cannot unambiguously identify the magnetic structure. Complementing experimental results with ...

GPT (Generative Pre-trained Transformer) models, developed by OpenAI, are pre-trained language models specifically designed for text generation. These models can generate highly coherent, contextually ...

Skyrmions and antiskyrmions are topologically protected spin structures with opposite vorticities. Particularly in coexisting phases, these two types of magnetic quasi-particles may show fascinating ...

Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, ...

Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural ...

In neuroscience large amounts of data are recorded to provide insights into cerebral information processing and function. The successful extraction of the relevant signals becomes more and more ...