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 ...

The SNS records neural activity from 60 channels across four brain regions--an order-of-magnitude increase over commercially available devices. The NeuroPace RNS system, FDA-cleared for epilepsy, ...

Advanced mass spectrometry techniques were used to differentiate organic compounds in meteoritic and terrestrial samples. LifeTracer, a computational framework, was developed to analyze mass ...

Abstract: As control systems increasingly rely on limited-bandwidth networks, quantization and data rate constraints present significant challenges for iterative learning control (ILC). This study ...

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.

Abstract: Efficient video streaming requires jointly optimizing encoding parameters (bitrate, resolution, compression efficiency) and decoding constraints (computational load, energy consumption) to ...

Fighting off pathogens is a tour de force that must happen with speed and precision. A team of researchers at CeMM and MedUni Vienna led by Christoph Bock and Matthias Farlik has investigated how ...

School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China ...