The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Abstract: The rapid expansion of cloud computing underscores the critical need for advanced security measures to protect sensitive data on remote servers. Authentication is crucial for safeguarding ...
Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...
OpenAI CEO Sam Altman has declared “code red” at the company, refocusing all resources into improving the quality of its flagship product ChatGPT and delaying other initiatives, some of which are yet ...
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