Scientific American

What is Mythos, Anthropic’s unreleased AI model, and how worried should we be?

The company says Mythos is too dangerous to release publicly. Cybersecurity experts agree the model's capabilities matter, ...
AZoCleantech

Phase Change Materials Could Unlock Longer Range for Hydrogen-Powered Microcars

Research shows that integrating metal hydride storage with phase change materials significantly improves hydrogen efficiency ...
Frontiers

Generative Models of Neural Activity: Using AI to Simulate, Interpret, and Predict Brain Dynamics

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
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

Model performance was evaluated using accuracy, balanced accuracy, Brier score, detection prevalence, F1-score, Jaccard index, κ coefficient, Matthews correlation coefficient, negative predictive ...
IEEE

Development of Generic Static Equivalent Models for Active Distribution Networks

Abstract: The increasing integration of converter-interfaced renewable energy sources (CI-RES) in distribution networks (DNs), combined with the gradual decommissioning of synchronous generators (SGs) ...

Microsoft Builds Its Own AI Model Stack To Reduce OpenAI Dependence

Microsoft launches three in-house MAI models for transcription, voice and image generation through Foundry, hedging its ...
IEEE

State-of-Art, Development, and Challenges of Model-Free Predictive Control on Motor Drives

Abstract: Model-free predictive control (MFPC) is an essentially robust strategy in motor driving systems, garnering significant attention and research. However, the existing literature lacks a ...