LONDON, Dec 12 (Reuters) - As AI fever has propelled global stocks to record highs, the data centres needed to power the technology are increasingly being financed with debt, adding to concerns about ...

Abstract: The rapid evolution of artificial intelligence (AI) has paved the way for substantial improvements in data science workflows, particularly in data preprocessing and feature selection. These ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Have you ever spent hours wrestling with messy spreadsheets, only to end up questioning your sanity over rogue spaces or mismatched text entries? If so, you’re not alone. Data cleaning is one of the ...

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...

Nemo 2.0 had a tutorial for downloading, tokenizing, preprocessing, etc. the SlimPajama Dataset for reproducing performance numbers with a real dataset (and demonstrating data preprocessing procedure) ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Could you please clarify the exact numeric preprocessing steps applied to the tutorial public datasets (e.g., Jurkat, K562, RPE1, HEK293T/HEPG2), beyond the cell/target filtering described? For the ...

Abstract: Data-driven learning methods have great potential in optimizing memristive devices, yet its application in memristor inverse modeling is still facing big challenge due to the scarcity of ...

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

The Cancer Genome Atlas (TCGA) provides comprehensive genomic data across various cancer types. However, complex file naming conventions and the necessity of linking disparate data types to individual ...

ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...