Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
Abstract: This paper deals with the online fault diagnosis problem of discrete event systems under malicious external attacks. We consider a scenario where an attacker can intercept certain sensor ...
Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...
AI has taken the programming world by storm, with a flurry of speculation about the tech replacing human coders, and Google’s CEO recently claiming that 25 percent of the company’s code is now ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Figure 1 A typical regulator output programming network where the Vsense feedback node and values for R1 varies from type to type. Quantitatively, the Vsense feedback node voltage varies from type to ...
At the Google I/O 2025 developer conference, Google launched Stitch, an AI-powered tool to help design web and mobile app front ends by generating the necessary UI elements and code. Stitch can be ...
The aspiring app developers of today no longer have to be fluent in coding. Instead, many are describing apps into existence using plain English. In a world increasingly fueled by the rapid ...
International Business Machines Chief Executive Arvind Krishna said the tech giant has used artificial intelligence, and specifically AI agents, to replace the work of a couple hundred human resources ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...
Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...
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