CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Mindmachines.com Announces Enhanced RoshiWave Technology for High Tech Meditation and Brainwave Optimization

Mindmachines.com has announced significant enhancements to its RoshiWave IN-SIGHT Mind Machine, incorporating advanced brainwave disentrainment technology designed to help users achieve deep ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
IEEE

Machine Learning-Based Modification of Accelerated TRIP Schemes Deployed With Distance Relays

Abstract: Faults which are in close vicinity from the ends of the transmission line are cleared with prolonged delays due to pessimistic setting of distance relays. A communication system based ...
National Academies

DOE Should Develop AI-Based Foundation Models Fused with Traditional Computational Methods to Bring Paradigm Shift to Scientific Discovery

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
The Conversation

Distance learning changes lives, but comes with its own challenges

Ashley Gunter receives funding from, The Arts and Humanities Research Council UK, British Academy UK, National Research Foundation, Newton Fund UK. Across Africa, distance education has become one of ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
Santa Fe Institute

Agent-based models move into the economic mainstream

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. Instead of relying on averages and unrealistic mathematical assumptions, these models were built ...
IEEE

Immersive Learning Model for University (ILMU): A Novel VR-Based Distance Learning in Higher Education

Abstract: The rapid adoption of Immersive Virtual Reality (IVR) distance learning in higher education necessitates cohesive frameworks to guide its effective implementation. However, existing models ...
Scientific Research Publishing

A Prediction Model for Estimating Egg Hatch Rate for Ghanaian Farmers Using Machine Learning ()

Department of Computer Science, Department of Cyber Security and Computer Engineering Technology, School of Computing and Information Sciences, C. K. Tedam University of Technology and Applied ...
Frontiers

Editorial: Machine learning and predictive microbiology: enhancing food safety models

The goal of food safety is to ensure that the food provided to consumers does not represent a health risk due to the presence of chemical, physical, or biological hazards. In particular, microbial ...