Close Menu
    DevStackTipsDevStackTips
    • Home
    • News & Updates
      1. Tech & Work
      2. View All

      Sunshine And March Vibes (2025 Wallpapers Edition)

      May 16, 2025

      The Case For Minimal WordPress Setups: A Contrarian View On Theme Frameworks

      May 16, 2025

      How To Fix Largest Contentful Paint Issues With Subpart Analysis

      May 16, 2025

      How To Prevent WordPress SQL Injection Attacks

      May 16, 2025

      Microsoft has closed its “Experience Center” store in Sydney, Australia — as it ramps up a continued digital growth campaign

      May 16, 2025

      Bing Search APIs to be “decommissioned completely” as Microsoft urges developers to use its Azure agentic AI alternative

      May 16, 2025

      Microsoft might kill the Surface Laptop Studio as production is quietly halted

      May 16, 2025

      Minecraft licensing robbed us of this controversial NFL schedule release video

      May 16, 2025
    • Development
      1. Algorithms & Data Structures
      2. Artificial Intelligence
      3. Back-End Development
      4. Databases
      5. Front-End Development
      6. Libraries & Frameworks
      7. Machine Learning
      8. Security
      9. Software Engineering
      10. Tools & IDEs
      11. Web Design
      12. Web Development
      13. Web Security
      14. Programming Languages
        • PHP
        • JavaScript
      Featured

      The power of generators

      May 16, 2025
      Recent

      The power of generators

      May 16, 2025

      Simplify Factory Associations with Laravel’s UseFactory Attribute

      May 16, 2025

      This Week in Laravel: React Native, PhpStorm Junie, and more

      May 16, 2025
    • Operating Systems
      1. Windows
      2. Linux
      3. macOS
      Featured

      Microsoft has closed its “Experience Center” store in Sydney, Australia — as it ramps up a continued digital growth campaign

      May 16, 2025
      Recent

      Microsoft has closed its “Experience Center” store in Sydney, Australia — as it ramps up a continued digital growth campaign

      May 16, 2025

      Bing Search APIs to be “decommissioned completely” as Microsoft urges developers to use its Azure agentic AI alternative

      May 16, 2025

      Microsoft might kill the Surface Laptop Studio as production is quietly halted

      May 16, 2025
    • Learning Resources
      • Books
      • Cheatsheets
      • Tutorials & Guides
    Home»Development»DeepSim: AI-Accelerated 3D Physics Simulator for Engineers

    DeepSim: AI-Accelerated 3D Physics Simulator for Engineers

    August 23, 2024

    One uses computational power in physics simulation to solve mathematical models that describe physical events. When dealing with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they bring are vital. 3D physics simulations are time-consuming, costly, and a pain to run. Before even running a single simulation, experienced engineers still invest significant time in meshing their ideas. Many simulations take hours—if not weeks—on pricey computing systems. Some are so difficult that even skilled engineers must simplify them, greatly compromising accuracy. Simulators are delicate and can crash at any moment thus continual monitoring is required at every stage.

    Meet DeepSim, a revolutionary AI simulation platform that automates the physics setup, allowing for 1000X faster design simulations without sacrificing accuracy. The platform’s efficient and rapid solution delivery is made possible by combining a powerful GPU-accelerated solver and lightweight, easily trainable AI models. With this technology, the bulkiness of classic finite element method (FEM) tools is removed, and the rigidity of other AI physics simulations is surmounted.

    The DeepSim team has developed the most advanced thermal simulator for circuit design in collaboration with semiconductor companies. This simulator can run thermal simulations with billions of nodes in minutes on a single GPU, providing a thousand times higher detail than a commercial tool using fifty or more CPU cores simultaneously.

    Modeling exceedingly complicated geometries with length scales spanning six orders of magnitude, which are impossible to solve with FEM tools, is now possible using DeepSim’s simulator. A 10-minute thermal simulation of an integrated circuit with all the necessary components (heat sink, airflow, etc.) is shown below. Within a complete chip (1 cm), DeepSim can resolve hot spots in individual transistors (~10 nm in size).

    To summarize

    DeepSim is developing an AI-powered 3D physics simulator that can complete complicated simulations in minutes rather than days, thanks to its 1000X speed advantage over current FEM tools. PhDs from Stanford University who have extensive experience with GPU-accelerated solvers and thermal simulation of semiconductor devices and circuits started DeepSim. Quick and straightforward 3D physics simulations are now within engineers’ reach with DeepSim. Faster design iterations lead to better products, and better judgments are made through real-world monitoring.

    The post DeepSim: AI-Accelerated 3D Physics Simulator for Engineers appeared first on MarkTechPost.

    Source: Read More 

    Facebook Twitter Reddit Email Copy Link
    Previous ArticleThis AI Paper by National University of Singapore Introduces A Comprehensive Survey of Language Models for Tabular Data Analysis
    Next Article Revolutionizing Deep Model Fusion: Introducing Sparse Mixture of Low-rank Experts (SMILE) for Scalable Model Upscaling

    Related Posts

    Machine Learning

    Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built with CLIP Embeddings and Flow Matching for Image Understanding and Generation

    May 16, 2025
    Security

    Nmap 7.96 Launches with Lightning-Fast DNS and 612 Scripts

    May 16, 2025
    Leave A Reply Cancel Reply

    Continue Reading

    The power of spread and rest patterns in JavaScript

    Development

    CVE-2025-46833 – Apache SimplePythonEncryption RSA Brute Force Decryption Vulnerability

    Common Vulnerabilities and Exposures (CVEs)

    Critical Erlang/OTP SSH Vulnerability (CVSS 10.0) Allows Unauthenticated Code Execution

    Development

    SiloFuse: Transforming Synthetic Data Generation in Distributed Systems with Enhanced Privacy, Efficiency, and Data Utility

    Development

    Highlights

    News & Updates

    I’m having a blast with this new roguelike that’s basically co-op Hades, and you can too for a huge discount if you hurry

    February 10, 2025

    SWORN is a sweet new roguelike that’s basically co-op Hades, and thanks to this deal,…

    Smart Data & AI Summit Saudi Arabia 2024

    May 27, 2024

    Microsoft wants to streamline your workday with powerful AI agents

    April 24, 2025

    Lenovo reveals explosive SSD that you won’t want to bring on a flight

    January 21, 2025
    © DevStackTips 2025. All rights reserved.
    • Contact
    • Privacy Policy

    Type above and press Enter to search. Press Esc to cancel.