Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Nature

Computer science articles from across Nature Portfolio

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
GitHub

An AI Agent with optional Human-in-the-Loop Safety, Model Context Protocol (MCP) integration, and beautiful, themeable CLI output

Agent Loop is a command-line AI assistant. It leverages Anthropic's Claude or OpenAI's GPT models and a suite of powerful tools to automate, inspect, and manage your development environment—while ...
IEEE

Improving the Accuracy of the LHC Superconducting Main Dipole Circuit By-Pass Diode Model Through Closed-Loop Optimization

Abstract: The Large Hadron Collider (LHC) includes eight main dipole circuits, each containing 154 superconducting magnets. We are carrying out simulations of the electromagnetic thermal behavior of ...
GitHub

ricardoamartinez/token_turing_machine

This document outlines the full implementation plan, workflow, and technical checklist for the ARC AGI 2 project. Our goal is to develop a novel, modular system capable of achieving high performance ...