Many investors think more assets mean better results. We explain why simplifying our portfolio often leads to higher returns and better mental health. Fewer decisions reduce mistakes and emotional ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...

Mohsen Baqery is a Staff Writer at GameRant based in Turkey. He mainly covers video game news and industry features while occasionally publishing guides and listicles. Mohsen started his journey into ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...

Getting older often involves a series of challenges, such as cognitive decline, social isolation, and late-life depression. Memory decline, especially decline in episodic memory and working memory, is ...

Ne-Yo is putting his longtime appreciation for the music of Garth Brooks and other country stars to use in his just-released new single “Simple Things,” produced by Dave Cohen and Young Lan. The ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

Introduction: The functional role of the ipsilateral primary motor cortex (iM1) activation in motor skill acquisition is widely researched; however, its interaction with task complexity remains ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...