Quantum error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
Communications of the ACM

Topological Control of LLMs: A Route to Trustworthy AI

If we consider an AI in the form of an LLM as a mathematical object, it represents a weakly structured set of coefficients.
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
eLife

Experimental verification of the error minimization theory using non-standard genetic codes constructed in vitro

The in vitro experiments that used the artificial genetic codes tested here did not provide support for the error minimization theory.
Hackaday

Using Your Own RBMK Reactor Control Center At Home

To give people the most intimate RBMK experience, the [Chornobyl Family] has been working tirelessly at not only replicating ...
GitHub

Auto-Tuning PI for Speed Control — Simulation and STM32 Implementation

Instead of manually tuning PI gains by trial and error, this project identifies the DC motor's plant parameters online using an RLS estimator, then automatically computes the PI controller gains from ...
TechRepublic

Big Data

Creatio 10x adds personal AI agents, centralized governance, and automation tools for sales, marketing, and customer service. If you can only read one tech story a day, this is it. We use cookies and ...
IEEE

1.1 Computing's energy problem (and what we can do about it)

Abstract: Our challenge is clear: The drive for performance and the end of voltage scaling have made power, and not the number of transistors, the principal factor limiting further improvements in ...