The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...
SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop AI-enabled tools that improve your customer experience.' From the laptops on ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
Self-driving vehicles rely closely on interactions with humans, vehicles, and the surrounding environment. However, the interactive analysis of self-driving is impacted by multiple perception sources, ...
Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...
Abstract: For the sake of complex analysis requirements of drilling fluid analysis system, this paper proposes a multidimensional data model and implement the solution of data mart due to the ...
Abstract: In batch processes, due to sensor failure, unstable signal transmission, and human negligence, the collected process data often contains missing values. This leads to the decline of process ...
Data optimization startup Qbeast Analytics Inc. says it’s going to help organizations eliminate the “hidden tax” of big data lakehouse frameworks like Delta Lake after raising $7.6 million in seed ...
Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...
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