AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Scientists use string theory to crack the code of natural networks

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...
Hacker

PKM + Obsidian: The Tech Stack for Your Brain You Didn't Know You Needed

An independent designer who write tech theme articles on my blog called Use your experience www.useyourexperience.com ...
IEEE

In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...
Frontiers

Liberating the open and distance learning model from the chains of oppressive education theories

This study argues that open and distance learning (ODL) continues to function as a platform for producing factory-like workers and white-collar laborers whose primary function is to serve the ...
IEEE

A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification

Abstract: In response to the growing waste problem caused by industrialization and modernization, the need for an automated waste sorting and recycling system for sustainable waste management has ...
Frontiers

Empirical analysis on the impact of university teachers’ pedagogical competence on students’ satisfaction: the mediating role of learning experience

1 College of Life Sciences, Nanjing Forestry University, Nanjing, China 2 College of Forestry, Nanjing Forestry University, Nanjing, China Many universities tend to prioritize research over teaching, ...