The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
Discrete GPUs also offer flexibility beyond Plex. If your server doubles as a workstation, runs machine learning workloads, or handles other GPU-accelerated tasks, the additional horsepower isn’t ...
Advanced mass spectrometry techniques were used to differentiate organic compounds in meteoritic and terrestrial samples. LifeTracer, a computational framework, was developed to analyze mass ...
The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China Background: Obstructive sleep apnea (OSA) is a prevalent disorder characterized by significant metabolic and ...
Project aims to develop a quantum machine learning framework for classifying different attention states from EEG brain signals. Using quantum computing, we may be able to understand complex ...
This approach combined: (1) supervised machine learning for text classification, (2) comparative topic modeling with both theory-driven and data-driven Latent Dirichlet Allocation (LDA) to identify ...
(a) Left: encoding of blink information, the schematic indicates that the brain generates specific commands and stimulates the eyes to blink accordingly when a specific situation is encountered.
Computational optics represents a shift in approach where optical hardware and computational algorithms are designed to work together, enabling imaging capabilities that surpass those of traditional ...
Abstract: Efficient video streaming requires jointly optimizing encoding parameters (bitrate, resolution, compression efficiency) and decoding constraints (computational load, energy consumption) to ...