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Intelligent vehicular network (IVN) is the underlying support for the connected vehicles and smart city, but there are several challenges for IVN data processing due to the dynamic structure of the ...
Hugging Face's $299 Reachy Mini leads a DIY robot revolution where open-source humanoids challenge expensive closed-source ...
Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...
AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on ...
Big data is an emerging trend and need of industries, sciences, and engineering area because all areas are having a lot of data and these data have given a result for a particular problem. This result ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.
The leading and longest established online Process Engineering publication serving the Process Manufacturing Industries ...
We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.
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