· ai
On the Challenge of Converting TensorFlow Models to PyTorch
How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science....
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AI Remedy Maker: Why Personalized Natural Medicine Needs Algorithms (Not Guesswork)
Why Remedies Aren’t One-Size-Fits-All and Never Were Let’s take two classics: turmeric and ashwagandha. To the supplement industry, these are static objects: “...
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We gave 5 LLMs $100K to trade stocks for 8 months
Article URL: https://www.aitradearena.com/research/we-ran-llms-for-8-months Comments URL: https://news.ycombinator.com/item?id=46154491 Points: 83 Comments: 81...
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My Experience with Google-Kaggle AI agents Intensive Course
My Learning Highlights 1. What an Agent Actually Is Before the course I assumed agents were basically chatbots with extra steps. In reality, an agent includes:...
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[Paper] The Universal Weight Subspace Hypothesis
We show that deep neural networks trained across diverse tasks exhibit remarkably similar low-dimensional parametric subspaces. We provide the first large-scale...
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[Paper] Value Gradient Guidance for Flow Matching Alignment
While methods exist for aligning flow matching models--a popular and effective class of generative models--with human preferences, existing approaches fail to a...
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[Paper] Deep infant brain segmentation from multi-contrast MRI
Segmentation of magnetic resonance images (MRI) facilitates analysis of human brain development by delineating anatomical structures. However, in infants and yo...
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[Paper] DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation
Recent unified multimodal large language models (MLLMs) have shown impressive capabilities, incorporating chain-of-thought (CoT) reasoning for enhanced text-to-...
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[Paper] ShadowDraw: From Any Object to Shadow-Drawing Compositional Art
We introduce ShadowDraw, a framework that transforms ordinary 3D objects into shadow-drawing compositional art. Given a 3D object, our system predicts scene par...
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[Paper] NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation
Standard diffusion corrupts data using Gaussian noise whose Fourier coefficients have random magnitudes and random phases. While effective for unconditional or ...
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[Paper] Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning
Long context reasoning in large language models (LLMs) has demonstrated enhancement of their cognitive capabilities via chain-of-thought (CoT) inference. Traini...
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[Paper] TV2TV: A Unified Framework for Interleaved Language and Video Generation
Video generation models are rapidly advancing, but can still struggle with complex video outputs that require significant semantic branching or repeated high-le...