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Recently, discussions surrounding the practical implementation of AI projects have sparked widespread attention. This article focuses on the real-world challenges of AI applications in enterprises and ...
The AI systems solving real problems aren't the ones with the most parameters but the ones with the best scaffolding.
News: VMware Tanzu announces a new data lakehouse platform and a major update to its application platform to accelerate ...
Technical Background and Innovation The emergence of the 'Lingji Smart City' large model relies on nearly a century of accumulated engineering drawing data from the Chongqing Design Institute, ...
Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...
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Tech Xplore on MSN3 questions: The pros and cons of synthetic data in AI
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...
Strong data management practises include enforcing data quality standards, securing data access, tracking lineage, and enabling ongoing validation. These steps help organisations avoid the downstream ...
F5 (NASDAQ: FFIV), the global leader in delivering and securing every app and API, today announced its intent to acquire a ...
ACORD, the global standards-setting body for the insurance sector, has released a new model aimed at enhancing the standardisation and exchange of data across the industry's enterprise systems. The ...
RavenDB, a multi-model NoSQL document database trusted by developers and enterprises worldwide, is introducing its AI Agent Creator, a first-to-market feature fully integrated into the database that ...
The rapid adoption of artificial intelligence (AI) agents across industries has brought significant benefits but also increased exposure to cyber threats, particularly adversarial attacks. According ...
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