Large-language models are excellent for general-use AI systems, but they don’t understand pharmaceutical companies’ ...
AI techniques are widely used as part of modern applications to improve application capabilities. Now, software developers are starting to look at how artificial intelligence techniques, such as deep ...
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To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...
Developing the POTOMAC Model: A Novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in Head and Neck Cancer Via an Ensemble Tree-Based Machine Learning Approach The ...
OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.
At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
Learn how industrial data flows have fundamentally changed with edge computing and cloud connectivity, where sensor data can now bypass traditional hierarchical structures to go directly from Level 0 ...
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