This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...
AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.
The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
AZoSensors on MSN
AI Maps Heat Inside Steelmaking’s Critical Sintering Process Beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
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