“You are tasked with writing a sophisticated, technically grounded article for HackerNoon that argues for recursive prompt engineering—where LLMs generate their own optimized prompts before executing ...

Abstract: To address the deficiencies in neural network learning performance caused by the use of stochastic gradient descent (SGD) and conventional recursive least squares (RLS) in real-time learning ...

Abstract: This article introduces an event-triggered multigradient recursive data-driven iterative learning control (ETMGR-DDILC) scheme designed for consensus tracking in multiagent systems (MASs).

As someone who grew up in the U.S. in the 1990s, I am all too familiar with a culture in which anything you and your friends disapprove of is “retarded,” and anybody you might care to insult is a ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

Say you’re at a party with nine other people and everyone shakes everyone else’s hand exactly once. How many handshakes take place? This is the “handshake problem,” and it’s one of my favorites. As a ...