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An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Abstract: Electro-hydraulic servo systems are often subject to parameter uncertainties and external disturbances, which degrade position tracking accuracy and control robustness. To address these ...
Self-driving vehicles rely closely on interactions with humans, vehicles, and the surrounding environment. However, the interactive analysis of self-driving is impacted by multiple perception sources, ...
Introduction: Multidisciplinary school mental health (SMH) teams play a key role in delivering mental health services to children. However, poor workflow, inefficient communication, and limited ...
Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
This library contains a pure-Python implementation of the HMAC-based key derivation function (HKDF) as specified in RFC 5869. The order and names of arguments within the function signatures in this ...
This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...
The prevailing wisdom in artificial intelligence suggests that bigger models yield better results. In our work for health insurance companies and third-party administrators of health plans, we’ve ...
Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...
Written by Ken Huang, CSA Fellow, Co-Chair of CSA AI Safety Working Groups and Dr. Ying-Jung Chen, Georgia Institute of Technology. This implementation guide provides a comprehensive, hands-on ...
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