ThinkLabs AI Teams with Southern California Edison to Deploy Scalable Grid Solutions

Southern California Edison partners with ThinkLabs AI and Microsoft to automate grid energization. Learn how this ...

ChatGPT falls to new data pilfering attack as a vicious cycle in AI continues

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
IEEE

Data-Driven Optimal Output Regulation for Continuous-Time Linear Systems via Internal Model Principle

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...

Portland Public Schools is trying to close the algebra access gap. Early evidence suggests it’s working

While studying salmon populations and designing amusement parks, these students are breaking barriers to advanced math that ...

GATE Data Science & Artificial Intelligence Previous Year Paper with Answer, Download DA Question Paper PDF

Candidates can download GATE Data Science & Artificial Intelligence previous year question papers with solutions in PDF.
webtv.un.org

Shaping a Brighter Future for the Global South

Today, Science, Technology, and Innovation are increasingly important in all spheres of human life. As science and technology rapidly advance, some developing nations are seizing the opportunity to ...
IEEE

Data-Driven Discrete-Time Linear Output Regulation With Unknown System Matrices

Abstract: This article investigates a data-driven method to solve the discrete-time linear output regulation problem. Different from existing learning-based data-driven solutions, we adopt the ...