Researchers from Nazarbayev University's National Laboratory created the first large-scale, high-quality genotyping dataset ...
Summary: A new AI framework can detect neurological disorders by analyzing speech with over 90% accuracy. The model, called CTCAIT, captures subtle patterns in voice that may indicate early symptoms ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
ABSTRACT: An investigation has been conducted on Diurnal Temperature Range (DTR) variations throughout Pakistan during spring (MAM) and autumn (SON) from 1980 to 2016 while exploring their ...
Figure 3. HED. The encoder (left) uses TSA layer and segment merging to capture dependency at different scales; the decoder (right) makes the final prediction by forecasting at each scale and adding ...
ABSTRACT: In this study, we focused on describing the trends of Extreme Precipitation Indices (EPI) in Senegal and analyzing the significant links between their variability and key climatic factors ...
What are your career goals this year and for 2025? Do you want to work fully remotely? Looking to make more money and build your side hustle or freelance business? Hoping to climb the ladder in your ...
I'm able to get fast iteration speeds when iterating over the dataset without shuffling. When I shuffle the dataset, the iteration speed is reduced by ~1000x. It's very possible the way I'm loading ...
Abstract: Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma ...
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