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RoomCraft AI: optimizar la distribución de una habitación con Simulated Annealing

Colocar los muebles de una habitación es un problema de optimización con muchas restricciones: la cama no va delante de la puerta, el escritorio quiere luz natural, hay que poder circular. Hay un número enorme de disposiciones posibles. RoomCraft AI las explora automáticamente a partir de una descripción en lenguaje natural. El pipeline de tres etapas Parser con LLM: el usuario describe su habitación en texto libre ("un dormitorio de 4x3 con la puerta al norte y una ventana al este"). Un LLM ( Llama 3.1 vía Groq ) lo convierte en una estructura de datos validada con Pydantic : dimensiones, aberturas, muebles deseados. Latencia: <1s. Optimizador con Simulated Annealing: aquí está el corazón del proyecto. Visualización y export: los layouts se renderizan en 3D en el navegador con Three.js y se exportan como plano técnico en PDF con ReportLab . Por qué Simulated Annealing El espacio de disposiciones posibles es combinatorio y lleno de óptimos locales. Una búsqueda voraz se queda atascada en la primera solución "decente". El Simulated Annealing imita el enfriamiento de un metal: al principio acepta movimientos malos con cierta probabilidad (alta "temperatura"), lo que le permite escapar de óptimos locales; según baja la temperatura, se vuelve cada vez más exigente y converge. Es una metaheurística ideal cuando el espacio de soluciones es irregular y no tienes gradiente. La función objetivo puntúa cada disposición de 0 a 100 según ergonomía: espacio de circulación, relaciones entre muebles, acceso a luz y aberturas. El sistema devuelve el top 5 de layouts, no solo el mejor, para dar opciones. Rendimiento Parse: <1s . Optimización: 2–5s . Export PDF: <1s . Footprint en reposo: ~100 MB de RAM. Qué aprendí Que combinar un LLM (para entender lenguaje) con una metaheurística clásica (para optimizar de verdad) es un patrón potentísimo: el LLM traduce el problema humano a uno formal, y un algoritmo determinista y barato lo resuelve mejor —y de forma más explicable— que pedirle

2026-07-16 原文 →
AI 资讯

01: What Is a Keyboard Simulator? A Complete Introduction to Interactive Keyboard Visualization

If you've ever wondered how to visualize, teach, or explore keyboards without owning physical hardware, a keyboard simulator is the answer. In this in-depth guide, we explore what keyboard simulators are, how they work, and why they are changing the way people learn to type. Defining a Keyboard Simulator A keyboard simulator is a software application that digitally recreates the visual, functional, and interactive behavior of a physical keyboard. Unlike a simple on-screen keyboard that merely serves as a typing aid, a true keyboard simulator renders the keyboard in detail — often in three dimensions — and responds to keystrokes in real time, creating an immersive and educational experience. The best keyboard simulators go far beyond static images. They animate individual key presses, replicate the visual design of specific keyboard models, support multiple layouts (QWERTY, Dvorak, AZERTY), and even show animated hands performing the typing — making them extraordinarily useful for remote teaching, accessibility testing, content creation, and learning to type. 💡 Did you know? The Keyboard Simulator by Roboticela is one of the most advanced free and open-source keyboard simulators available today, featuring 3D interactive rendering powered by React Three Fiber, five authentic laptop keyboard models, and eight beautiful visual themes. The Core Components of a Keyboard Simulator A fully-featured keyboard simulator typically includes several key components that work together to create a complete experience: 🎮 3D Rendering Engine: Displays the keyboard model from any angle with smooth rotations and zoom capabilities. ⌨️ Real-Time Key Feedback: Every keystroke on your physical keyboard mirrors instantly on the 3D model. 🖐️ Hand Animation: Animated hands show proper finger placement and movement as you type. 📝 Document Editor: A built-in text editor captures your input and links it to the keyboard visualization. 🎨 Theme System: Multiple visual themes make the experience beau

2026-06-30 原文 →
AI 资讯

Building a Four-Bar Linkage Mechanism Simulator in Haskell

Most developers know Haskell as a language for functional programming, type safety, compilers, parsers, and beautiful mathematical abstractions. But can Haskell also be used to build an interactive engineering simulator? That was the motivation behind my project: Four-Bar Mechanism Haskell Simulator Repository: https://github.com/mohammadijoo/Four-Bar-Mechanism-Haskell This project is a browser-backed desktop-style GUI application written in Haskell. It visualizes, classifies, and animates a planar four-bar linkage mechanism, which is one of the most classical mechanisms in mechanical engineering, kinematics, and machine design. The GUI is built with Threepenny-GUI , so the interface runs in a local browser window, while the mathematical model and mechanism logic remain written in Haskell. For me, the interesting part was not only drawing a moving linkage. It was about connecting mechanism design theory , computational geometry , and functional programming in one small educational simulator. What is a four-bar linkage? A four-bar linkage is a closed-loop mechanical system made from four rigid links connected by four revolute joints. In this project, the four links are: Symbol Name Description g Ground link Fixed distance between pivots A and B a Input link Rotating link from A to moving pivot C b Output link Link from fixed pivot B to moving pivot D f Floating link / coupler Link connecting moving pivots C and D The fixed pivots are placed at: A = ( 0 , 0 ) , B = ( g , 0 ) The input link rotates by angle α . Therefore, point C can be computed directly as: C = ( a cos α ,; a sin α ) Point D is more interesting. It must satisfy two geometric distance constraints: ∣ D − C ∣ = f ∣ D − B ∣ = b So the simulator solves the position of point D using a circle-intersection method. One circle is centered at C with radius f . The other circle is centered at B with radius b . Where those two circles intersect, the mechanism can close. That is the basic geometric heart of the sim

2026-06-10 原文 →
产品设计

‘Scattered Spider’ Member ‘Tylerb’ Pleads Guilty

A 24-year-old British national and senior member of the cybercrime group "Scattered Spider" has pleaded guilty to wire fraud conspiracy and aggravated identity theft. Tyler Robert Buchanan admitted his role in a series of text-message phishing attacks in the summer of 2022 that allowed the group to hack into at least a dozen major technology companies and steal tens of millions of dollars worth of cryptocurrency from investors.

2026-04-21 原文 →