PleoGram Pleo-Gram focuses on real-time energy analytics, automation, and performance monitoring. The platform enables ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
New tool leverages proprietary hiring success learning models trained on 150M+ hiring outcomes and proven science ...
The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...
Efficient Dual-Type Reference Governor for Model Predictive Control With Vehicle System Applications
Abstract: In this work, a novel dual-type reference governor (DRG) is proposed to handle the unreachable reference within the prediction horizon for the model predictive control (MPC). The proposed ...
Reusable AI application models enable organizations to apply predictive insights across multiple customer scenarios.
Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...
Google's Project Genie may prove that world models matter more than LLMs for defense. The military that masters physics simulation first gains decisive advantage.
Gaussian Process-Based Learning Model Predictive Control With Application to Flywheel Battery System
Abstract: The flywheel battery system is extremely sensitive to its own time-varying nonlinear characteristics and random disturbances in actual operating conditions. The traditional model predictive ...
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