Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...
Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...
Artificial intelligence is transforming every sector of the global economy. From finance and healthcare to logistics, education, and national defense, large language models (LLMs) and other foundation ...
AZoRobotics on MSN
Improving the Interpretability of Machine Learning Models
Machine-learning algorithms can make mistakes and be difficult to use, so scientists at the Massachusetts Institute of ...
Data visualization techniques for representing high-degree interactions and nuanced data structures. Contemporary linear model variants that incorporate machine learning and are appropriate for use in ...
Trust is key to gaining acceptance of AI technologies from customers, employees, and other stakeholders. As AI becomes increasingly pervasive, the ability to decode and communicate how AI-based ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
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