After a launch, the real learning begins. Tech leaders share the signals and habits they use to turn user behavior, feedback ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...
Abstract: The total least squares (TLS) algorithm is a superior identification tool for low-order errors-in-variables (EIV) systems, where the estimate can be obtained by solving an eigenvector of the ...
1 Doctoral School, University of Burundi, Bujumbura, Burundi. 2 University of Burundi, Bujumbura, Burundi. 3 Institut Superieur Pédagogique de Bukavu, Bukavu, Congo. 4 Center for Research in ...
This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...
Abstract: In this paper, we consider an intelligent reflecting surface (IRS) assisted downlink multiuser communication system with improper Gaussian signaling (IGS) that serves as generalized Gaussian ...
Chain-of-Thought (CoT) reasoning enhances the capabilities of LLMs, allowing them to perform more complex reasoning tasks. Despite being primarily trained for next-token prediction, LLMs can generate ...
In response to the complexity of the Jacobian matrix inversion process in the power flow algorithm for AC/DC microgrids, leading to large memory requirements and susceptibility to convergence issues, ...
The capabilities of LLMs are advancing rapidly, evidenced by their performance across various benchmarks in mathematics, science, and coding tasks. Concurrently, advancements in Reinforcement Learning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback