"Black holes are the ultimate cosmic fossils," Jani said. "The masses of black holes reported in this new analysis have remained highly speculative in astronomy. This new population of black holes ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

Innatera, a developer of neuromorphic processors, has launched Pulsar, its first commercially available microcontroller to ...

Abstract: In this paper, a feedforward backpropagation neural network model is developed to estimate the resultant center of mass (COM) trajectory in the sagittal plane. The COM trajectory is one of ...

In the proposed model, we utilize convolutional neural networks to extract time-invariant features ... The results showed that our model achieved similar overall accuracy and macro F1-score (MASS: ...

Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.

A research team at the University of Barcelona's Institute of Neurosciences (UBneuro) has discovered new molecular mechanisms ...

Muscle mass was defined using ASM adjusted by Body Mass Index (ASM/BMI) criteria. Employing weighted logistic regression models, restricted cubic spline analysis, and subgroup analyses, the authors ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

To address this, we developed a mathematical model for the HPA axis that incorporates changes in the total functional mass of the HPA hormone‐secreting glands. The mass changes are caused by HPA ...

Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Akademika Heyrovského 1203/8, 500 03 Hradec Králové, Czechia ...