Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

This valuable study shows that regions of the human auditory cortex that respond strongly to voices are also sensitive to vocalizations from closely related primate species. The study is ...

Atomic electron tomography (AET) is essential for characterizing the atomic structure of functional materials. However, raw 3-D tomograms often exhibit severe artifacts caused by geometric constraints ...

Take this quiz to see how much you know about this topic already, then work through the guide and see if you can beat your score. Take a look at this number line. It shows 14 - 5 = 9. You can count ...

Abstract: Hyperspectral images (HSIs) play a crucial role in remote sensing but are often degraded by complex noise patterns. Ensuring the physical property of the denoised HSIs is vital for robust ...

Large Language Models (LLMs), while demonstrating remarkable capabilities across various applications, present significant challenges during inference due to their substantial model size, especially ...

A C++ program that implements parallelized matrix multiplication and convolution using OpenMP. The program compares the performance of sequential and parallel executions across matrix sizes of 10x10, ...