Adnan Saeed

Adnan Saeed is a deep learning researcher working on medical image analysis, with a focus on multimodal architectures, graph neural networks, and evidential deep learning for clinical imaging tasks. His peer reviewed research has appeared in journals across machine learning and biomedical signal processing. At AI Trend Blend he turns recent papers into clear, practical explainers, with an emphasis on what a method actually does and where it holds up, written for readers who want depth without the hype.

Chaos in the p-adic Ising Model — When Prime Numbers Decide Phase Transitions.

Chaos in the p-adic Ising Model — When Prime Numbers Decide Phase Transitions

Leave a Comment / Math Applications /

Chaos in the p-adic Ising Model — When Prime Numbers Decide Phase Transitions | AI Trend Blend AITrendBlend Machine Learnings Mathematics About Statistical Mechanics · Journal of Mathematical Analysis and Applications 560 (2026) · UAE University & Uzbekistan Academy of Sciences · 14 min read When the Prime Number Decides Everything — Chaos and Phase […]

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gsplat: An Open-Source Library for Gaussian Splatting.

gsplat: An Open-Source Library for Gaussian Splatting

Leave a Comment / Machine Learning /

gsplat: An Open-Source Library for Gaussian Splatting | Research Breakdown AITrendBlend Computer Vision Machine Learning About 3D Reconstruction gsplat: The Open-Source Library That Is Making Gaussian Splatting Faster, Leaner, and More Accessible Than Ever A team from UC Berkeley, Aalto University, ShanghaiTech, SpectacularAI, Amazon, and Luma AI built an open-source PyTorch library for Gaussian Splatting

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Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds.

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds

Leave a Comment / Machine Learning, Optimization & Learning Theory /

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds | AI Trend Blend AITrendBlend Machine Learning Cybersecurity About Optimal Transport · Journal of Machine Learning Research 26 (2025) 1–76 · 18 min read Measuring Distance Between Distributions on Curved Spaces Just Got a Lot Faster Bonet, Drumetz, and Courty from ENSAE, IMT Atlantique, and Universite Bretagne Sud

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Statistical Inference via Sketched StoSQP: Online Second-Order Methods for Constrained Optimization.

Statistical Inference via Sketched StoSQP: Online Second-Order Methods for Constrained Optimization

Leave a Comment / Machine Learning, Math Applications, Optimization & Learning Theory /

Statistical Inference via Sketched StoSQP: Online Second-Order Methods for Constrained Optimization | AI Trend Blend Optimization Theory · Journal of Machine Learning Research 26 (2025) 1–75 · 20 min read The Online Inference Problem That Second-Order Methods Finally Solved — Without Projections Sen Na at Georgia Tech and Michael Mahoney at UC Berkeley prove that

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Building Computer Vision Pipelines with Claude Code (2026 Guide).

Building Computer Vision Pipelines with Claude Code (2026 Guide)

Leave a Comment / Anthropic Claude, Computer Vision, Machine Learning /

Building Computer Vision Pipelines with Claude Code (2026 Guide) | AITrendBlend AITrendBlend AI Agents Claude Machine Learning ChatGPT Home › Tutorials › Building Computer Vision Pipelines with Claude Code Computer Vision Claude Code Python Object Detection OpenCV YOLOv11 OCR 2026 Building Computer Vision Pipelines with Claude Code AITrendBlend Editorial | May 27, 2026 | 14

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YOLOv11 Object Detection: From Zero to Deployment (2026 Guide).

YOLOv11 Object Detection: From Zero to Deployment (2026 Guide)

Leave a Comment / Machine Learning, Computer Vision /

YOLOv11 Object Detection: From Zero to Deployment (2026 Guide) | AITrendBlend AITrendBlend AI Agents Claude Machine Learning Gemini Home › Tutorials › YOLOv11 Object Detection: From Zero to Deployment YOLOv11 Object Detection Python Ultralytics Custom Training ONNX Export FastAPI Computer Vision YOLOv11 Object Detection: From Zero to Deployment AITrendBlend Editorial | May 27, 2026 |

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The ODE Method for Stochastic Approximation with Markovian Noise: Breaking the Deadly Triad in Reinforcement Learning.

The ODE Method for Stochastic Approximation with Markovian Noise: Breaking the Deadly Triad in Reinforcement Learning

Leave a Comment / Machine Learning, Optimization & Learning Theory /

The ODE Method for Stochastic Approximation with Markovian Noise: Breaking the Deadly Triad in Reinforcement Learning | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Reinforcement Learning Theory · Journal of Machine Learning Research 26 (2025) 1–76 · 20 min read The ODE Method Gets Its Markovian Upgrade — and Reinforcement Learning’s Most Stubborn

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Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power.

Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power

Leave a Comment / Machine Learning, Optimization & Learning Theory /

Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power | AI Trend Blend Graph Neural Networks · Journal of Machine Learning Research 26 (2025) 1–35 · 18 min read High-Order GNNs Were Too Expensive — Until These Compact Orthogonal Bases Changed the Game Jia He and Maggie X. Cheng from Illinois Institute of

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AI Agents vs Chatbots: What Is the Real Difference? (2026 Guide).

AI Agents vs Chatbots: What Is the Real Difference? (2026 Guide)

Leave a Comment / Agent Systems, Practical AI Tools, Tech News /

aitrendblend.com · AI Agents · May 2026 · 14 min read AI Agents Chatbots Comparison Autonomy Tool Use 2026 Guide AI Agents vs Chatbots: What Is the Real Difference? aitrendblend.com — 2026 Explainer Your product manager wants “an AI thing that answers customer questions automatically.” Your developer quotes a price based on a chatbot. Your

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AI Agent Security: What to Lock Down Before You Deploy (2026 Guide).

AI Agent Security: What to Lock Down Before You Deploy (2026 Guide)

Leave a Comment / Tech News, Agent Systems /

AI Agent Security: What to Lock Down Before You Deploy (2026 Guide) AITrendBlend Machine Learning Prompts ChatGPT Agent AI About aitrendblend.com · AI Security · May 2026 · 16 min read AI Agent Security: What to Lock Down Before You Deploy AI Security Prompt Injection AI Agents Deployment Audit Logging 2026 Guide AI Agent Security:What

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