By backstopping $1.4 billion in Fluidstack liabilities under a $3 billion, 10-year AI compute pact, Google acquired a 5.4% ...
Abstract: In the dynamic realm of data mining and database research, ethical considerations are crucial for ensuring responsible practices. [1] This paper delves into the ethical dimensions inherent ...
Abstract: The availability of digital technology in the hands of every citizenry worldwide makes an available unprecedented massive amount of data. The capability to process these gigantic amounts of ...
Abstract: Microseismic monitoring during mining operations generates spatiotemporal data that could indicate strata fractures and deformations leading to water inrush anomalies. However, current water ...
Abstract: The recent advancement in internet 2.0 creates a scope to connect people worldwide using society 2.0 and web 2.0 technologies. This new era allows the consumer to directly connect with other ...
Does one of these scenarios sounds familiar to you? You are working on your own side-project in NLP, but you don't have enough labeled data to train a good model. You are working in a team and already ...
Abstract: The development of intelligent technologies gains popularity in the education field. The rapid growth of educational data indicates traditional processing methods may have limitations and ...
Hi! I'm Kenny Graves, your Neighborhood Reporter for the Brazos Valley. COLLEGE STATION, Texas (KRHD) — College Station residents are preparing to make their voices heard at Thursday's city council ...
Abstract: The rise in the industrialization and digitalization has introduced numerous equipment. However, the equipment must be properly monitored and maintained. Any deviation leads to the ...
The International Council on Mining and Metals (ICMM) launched its Global Mining Dataset to fill the gap in reliable, standardized data for the mining and metals sector. ICMM has embarked on a ...
This repository contains practical implementations of various data mining and warehousing tasks. The projects utilize machine learning models, data preprocessing techniques, and clustering algorithms ...