#differentiable simulation
8 related articles
LFortran + Enzyme: A New Path to Autom…
·2 min
LFortran + Enzyme: A New Path to Automatic Differentiation for Fortran Code
LFortran + Enzyme enables automatic differentiation for decades of Fortran scientific code without rewrites. Learn the technical principles, implementation path, and impact on scientific ML.
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·4 min
RAM: First-Principles Approach to 50x Faster RL Post-Training for Diffusion Models
RAM (Reinforce Adjoint Matching) achieves 50x faster RL post-training for diffusion models by discarding path costs, combining ODE sampling with decorrelated training objectives. A deep dive into RAM's core principles and experiments vs. Flow-GRPO.
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Paper Reproduction as an Entry Point i…
·4 min
Paper Reproduction as an Entry Point into Scientific Machine Learning: Path Selection and Pitfall Guide
How can applied math students efficiently enter Scientific Machine Learning (SciML)? This guide covers the value and pitfalls of paper reproduction, with a layered path from numerical PDEs to research.
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·7 min
Practical RL Compute Optimization: Core Strategies to Boost CPU and GPU Utilization
An in-depth look at why CPU and GPU utilization is low in RL training, covering vectorized environment parallelism, distributed Actor-Learner architectures, GPU-side simulation (Isaac Gym/Brax), and Ray RLlib practice.
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·7 min
Andrew Ng's Prompt Engineering Course Essentials: Core Methodology Every Developer Must Learn
An in-depth analysis of the essentials of Andrew Ng and OpenAI's ChatGPT Prompt Engineering course. Covers the difference between base and instruction-tuned models, two core prompting principles, and how to wield LLM APIs to build apps.
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Neural Render Proxies: A New Paradigm …
·3 min
Neural Render Proxies: A New Paradigm for Real-Time Interaction and Differentiable Lighting
A deep dive into Neural Render Proxies: how neural networks replace costly lighting computation to enable real-time interaction, inverse rendering, and end-to-end differentiable optimization across games, digital twins, and NeRF.
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·3 min
Two Minute Papers: The Gold Standard for Making Cutting-Edge AI Research Accessible
An in-depth look at how Two Minute Papers explains cutting-edge AI research in two minutes, covering Károly's methodology, topics, and lessons for science communicators.
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Deep Dives·4 min
Introduction to Artificial Intelligence: A Comprehensive Guide from Basic Concepts to Core Machine Learning Principles
A comprehensive guide to AI definitions, working principles, strong vs. weak AI, and the relationship between machine learning and deep learning. Perfect for beginners entering the AI field.
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