How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

Less Over More: Interference Sample Gradient Purification For Parallel Continual Learning

Abstract: The goal of Parallel Continual Learning (PCL) is to continually learn multi-task from new data stream and complete the corresponding tasks. Previous research on PCL ignored inter-task ...

Agentic AI set to become big in 2026

Agentic AI, or autonomous AI, is a type of artificial intelligence that runs independently to design, execute, and optimise ...
IEEE

Robust Federated Learning with Valid Gradient Direction for Cloud-Edge-End Collaboration in Smart Grids

Abstract: With the advancement of carbon emissions reduction initiatives, there is a rapid increase in the current demand for electrical power, which necessitates a more efficient and reliable grid to ...
Learn With Jay on MSN

Linear regression gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
YouTube on MSN

Logistic regression power explained using one derivative

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates ...