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AI Programming Lab
AI Programming Lab
Jun 2, 2026 · Artificial Intelligence

Testing MiniMax M3: Reproducing a Deep‑Learning Paper and Building an End‑to‑End Medical Image Segmentation App

The author evaluates MiniMax M3 by reproducing the 2021 TransUNet medical image segmentation paper, troubleshooting data and training issues, achieving near‑paper Dice scores, and then engineering a full‑stack React‑FastAPI application to demonstrate the model’s practical capabilities and cost.

AI Coding AgentMiniMax M3TransUNet
0 likes · 10 min read
Testing MiniMax M3: Reproducing a Deep‑Learning Paper and Building an End‑to‑End Medical Image Segmentation App
HyperAI Super Neural
HyperAI Super Neural
Dec 6, 2025 · Artificial Intelligence

Quick Look at This Week’s Frontier AI Papers: DeepSeekMath‑V2, MedSAM‑3, SAM 3D, Qwen3‑VL, and M²

This roundup surveys five cutting‑edge AI papers—DeepSeekMath‑V2’s self‑verifiable mathematical reasoning, MedSAM‑3’s promptable medical image and video segmentation, SAM 3D’s single‑image 3D reconstruction, Qwen3‑VL’s high‑capacity vision‑language model, and the M² memory‑mesh transformer for image captioning—highlighting their key methods, benchmarks, and code links.

3D reconstructionImage Captioninglarge language models
0 likes · 6 min read
Quick Look at This Week’s Frontier AI Papers: DeepSeekMath‑V2, MedSAM‑3, SAM 3D, Qwen3‑VL, and M²
Data Party THU
Data Party THU
Sep 16, 2025 · Artificial Intelligence

How Dynamic Snake Convolution Boosts Tubular Segmentation and Infrared Small Target Detection

This article reviews two recent AI papers that introduce dynamic convolution kernels guided by geometric or statistical priors and adaptive loss mechanisms, demonstrating significant improvements in tubular structure segmentation and infrared small‑target detection across multiple 2D and 3D datasets.

computer visiondynamic convolutioninfrared small target detection
0 likes · 6 min read
How Dynamic Snake Convolution Boosts Tubular Segmentation and Infrared Small Target Detection