As a Medior Backend Engineer, you'll be part of one of our 15+ cross-functional feature teams, working on the core systems that power Sendcloud. We integrate numerous carriers and online stores into a ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Artificial Intelligence and Data Science are among the fastest-growing and most transformative domains in technology today, driving innovation across industries such as healthcare, finance, retail, ...
TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
OMP4Py is a Python library that provides an implementation of OpenMP, which is widely recognized as the standard programming model for exploiting multithreading parallelism in HPC. OMP4Py features a ...
Figure 1: PrePrompt two-stage framework (left) and feature extrapolation mechanism (right). 🔥 Official PyTorch implementation of PrePrompt, a two-stage predictive prompting framework that enables pre ...
Abstract: ICLabel is an important plug-in function in EEGLAB, the most widely used software for EEG data processing. A powerful approach to automated processing of EEG data involves decomposing the ...
Abstract: We have been conducting research to develop a system for selecting DPC codes from patient discharge summaries using text mining techniques. The performance demonstrated thus far indicates ...
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