WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...

Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...

Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...

1 Digital Transition and AI, Haaga-Helia University of Applied Sciences, Helsinki, Finland 2 Neurolab, Laurea University of Applied Sciences, Espoo, Finland We investigated how near-future utopia and ...

RLC circuit modeling and simulation using Python, explained step by step. Explore resonance, damping, and frequency response with practical coding and clear physics insights. #RLCCircuit ...

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...

Traditional portfolio management relies on static allocations and reactive rebalancing. AlphaEdge flips this paradigm by implementing a fully automated, AI-driven investment strategy that: ...