This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
Overview: AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
CDAC AI course offers industry-oriented training in artificial intelligence, machine learning, and data science. Learn about ...
Abstract: With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...
Abstract: The object of the study is working with data obtained from sensors of Android-based mobile devices. The subject of the study is methods of preprocessing data from sensors of Android-based ...
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