Abstract: Atrial fibrillation (AF) is a common type of arrhythmia with a high incidence and risk, and it is difficult to monitor. Deep learning-based algorithms for AF detection have made preliminary ...
Abstract: The epileptic detection with electroencephalography (EEG) has been deeply studied and developed. However, previous research gave little attention to the physical appearance and early onset ...
When Liquid AI, a startup founded by MIT computer scientists in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: Deliver the fastest on-device ...
MIT graduate student Alex Kachkine once spent nine months meticulously restoring a damaged baroque Italian painting, which left him plenty of time to wonder if technology could speed things up. Last ...
In current generative models, we usually apply convolutions over large-size activations to generate high-resolution content. However, PyTorch tends to use excessive memory for these operations, ...
conda create -n torch python=3.7 conda activate torch conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch conda install numba opencv pip install ...
Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...
In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
In the winter of 2011, Daniel Yamins, a postdoctoral researcher in computational neuroscience at the Massachusetts Institute of Technology, would at times toil past midnight on his machine vision ...
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