This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers. https://
kdnuggets.com/2019/09/advice
-building-machine-learning-career-research-papers-andrew-ng.html
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Good stuff never ages.
@jiqizhixin
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Andrew Ng’s Career Advice: Reading Research Papers Effectively
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WonderPlay: AI-Powered 3D Scene Generation from Images
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WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions
Paper: https://
arxiv.org/pdf/2505.18151
v1.pdf
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Project Page：
https://
kyleleey.github.io/WonderPlay/
Code：
https://
github.com/kyleleey/Wonde
rPlay
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WonderPlay Transforms Static Images Into Dynamic 3D Scenes
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WonderPlay is a new framework that turns a single image into a dynamic 3D scene, combining physics simulation with video generation. Unlike past works stuck with rigid or simple elastic motions, WonderPlay supports everything from cloth to snow, liquids to smoke —all… pic.twitter.com/9juDq4nG2E
— 机器之心 JIQIZHIXIN (@jiqizhixin) 26 mai 2025WonderPlay is a new framework that turns a single image into a dynamic 3D scene, combining physics simulation with video generation. Unlike past works stuck with rigid or simple elastic motions, WonderPlay supports everything from cloth to snow, liquids to smoke —all
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Unitree Bipedal Robots Compete in Live Boxing Match Broadcast
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🤖🥊 Live now!
— 机器之心 JIQIZHIXIN (@jiqizhixin) 25 mai 2025
Unitree is hosting a robot boxing match, broadcast on WeChat and CCTV-10!
Catch the action as bipedal bots throw punches in this futuristic showdown. First up: an exhibition match. pic.twitter.com/BiYKryKSenLive now!
Unitree is hosting a robot boxing match, broadcast on WeChat and CCTV-10!
Catch the action as bipedal bots throw punches in this futuristic showdown. First up: an exhibition match. -
Logic-of-Thought: Enhancing LLMs with Logic Programs for Puzzles
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Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language
Paper: https://
arxiv.org/pdf/2505.16114
Code & data: https://
github.com/naiqili/Logic-
of-Thought
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Logic-of-Thought Framework Advances AI Puzzle-Solving Capabilities
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Solving puzzles in natural language has always been a tough nut for AI. Even with the rise of powerful large language models (LLMs), complex puzzles that require rigorous reasoning and step-by-step logic remain a major hurdle. Enter Logic-of-Thought (Logot): a new framework that
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Self-Driving Cars and Delivery Drones Need Perfection First
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Let's not rush—maybe we should first get self-driving cars and delivery drones to work properly before we start seeding the galaxy.
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Behavioral Foundation Models Adapt to Dynamic Environments
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Zero-Shot RL Just Got Smarter: Adapting Behavioral Foundation Models to Dynamic Environments Behavioral Foundation Models (BFMs) promise zero-shot generalization across tasks—but they stumble when the world changes (e.g., robot joints wear out or environments shift). This
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Unlearning or Obfuscating? Benign Relearning of LLMs
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Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning – Machine Learning Blog | ML@CMU | Carnegie Mellon University