Computer vision Blogs

2/7/2026 • EN

Andrew Healey

Andrew Healey writes about programming languages, compiler design, systems programming, and performance optimization. His blog covers building interpreters, compilers, sandboxes, games, and creative developer tooling, often with a focus on speed and efficiency.

Programming Languages Compilers & Interpreters Systems Programming

Andrew Healey

124

2/4/2026 • EN

Yuxin Wu

Yuxin Wu shares in-depth insights on Python, PyTorch, and large-scale software design. Explore tutorials on memory optimization, data loading, stacked diffs, static initialization, and building efficient deep learning systems.

Python Programming PyTorch Deep Learning

Yuxin Wu

10

2/4/2026 • EN

Unmesh Gundecha

Unmesh Gundecha shares insights on AI-assisted programming, test automation, and software architecture. Explore tutorials on Docker, Kubernetes, command-line tools, and practical coding projects.

AI Programming Test Automation Docker & Kubernetes

Unmesh Gundecha

17

2/3/2026 • EN

Avi Singh

Avi Singh writes about computer vision, deep learning, and robotics, with hands-on tutorials and research-driven insights. His work covers visual odometry, activity recognition, neural networks, and practical implementations using OpenCV, CUDA, and MATLAB.

computer vision deep learning visual odometry

Avi Singh

10

2/3/2026 • EN

Adit Deshpande

Adit Deshpande writes about deep learning, machine learning research, and AI concepts with a strong focus on clarity and intuition. His blog breaks down influential papers, neural networks, and real-world ML applications for beginners and practitioners alike.

deep learning machine learning neural networks

Adit Deshpande

10

2/2/2026 • EN

Mark Saroufim

Mark Saroufim is a software engineer and writer focused on machine learning systems, PyTorch, reinforcement learning, and the intersection of computation, mathematics, and product thinking. His writing blends hands-on engineering with theory, exploring everything from deep learning infrastructure to philosophy of computation.

Machine learning PyTorch systems engineering

Mark Saroufim

6

2/2/2026 • EN

Benny Cheung

Benny Cheung is a software engineer and AI enthusiast focused on building intelligent systems and agent-driven workflows. His writing covers AI agent orchestration, edge AI, local-first architectures, and AI-powered automation for real-world applications.

AI agents edge AI local-first architecture

Benny Cheung

15

2/2/2026 • EN

Nick Taylor

Nick Taylor (nickytonline) is a Microsoft MVP, GitHub Star, and Developer Advocate with over 20 years in tech and a decade of open-source contributions. He shares practical insights through blogging, live streaming, and community-driven developer education.

developer advocacy open source web development

Nick Taylor

166

2/1/2026 • EN

Paolo Melchiorre

Paolo Melchiorre is a Python developer, Django contributor, and Free Software advocate. He actively supports open-source communities, mentors developers, and shares insights through talks, blogs, and community initiatives.

python django open source

Paolo Melchiorre

87

2/1/2026 • EN

Paul Onteri

Paul Onteri is a software engineer passionate about Python, AI, cloud computing, and modern web development. His blog shares practical guides, innovative projects, and insights to help developers learn, experiment, and break barriers in tech.

python ai cloud computing

Paul Onteri

14

1/28/2026 • EN

Mark Litwintschik

Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.

Big Data AI GIS

Mark Litwintschik

100

1/28/2026 • EN

Jakub Nowosad

Jakub Nowosad is a computational geographer and Associate Professor at Adam Mickiewicz University, also serving as a Visiting Scientist at the University of Münster. He develops open-source tools and spatial methods for reproducible, scalable environmental and ecological analysis, and co-authors Geocomputation with R and Geocomputation with Python.

geocomputation spatial analysis environmental modeling

Jakub Nowosad

43

1/27/2026 • EN

David Ha

David Ha is an AI researcher known for pioneering work in neuroevolution, reinforcement learning, generative models, and world models. His blog features influential experiments, tutorials, and creative AI projects blending deep learning with evolutionary algorithms.

neuroevolution reinforcement learning generative ai

David Ha

9

1/27/2026 • EN

James Le

James Le leads Developer Experience at Twelve Labs, building foundation models for video understanding and advancing production ML and data infrastructure. A former ML advocate and data science journalist, he also hosts Datacast and writes Data Notes on industry, research, and careers in AI.

machine learning engineering video ai developer experience

James Le

17

1/25/2026 • EN

Lilian Weng

Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.

Large Language Models Machine Learning Research Reinforcement Learning

Lilian Weng

50

1/25/2026 • EN

Peter Steinberger

Peter Steinberger is a developer and open-source creator exploring modern web technologies after years of native iOS development. Based between Vienna and London, he builds in public, shares learnings, and speaks at tech conferences.

Web Development Open Source iOS Development

Peter Steinberger

101

1/23/2026 • EN

Igor Susmelj

Igor Susmelj is co-founder of Lightly, an ETH Zurich spin-off focused on simplifying large-scale datasets for deep learning. He writes about data pipelines, data annotation, and efficient ML workflows.

deep learning data annotation machine learning datasets

Igor Susmelj

10

1/22/2026 • EN

Philipp Schmid

Philipp Schmid is a Staff Engineer at Google DeepMind, building AI Developer Experience and DevRel initiatives. He specializes in LLMs, RLHF, and making advanced AI accessible to developers worldwide.

AI LLMs developer experience

Philipp Schmid

191

1/22/2026 • EN

Eugene Yan

Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.

AI machine learning recommendation systems

Eugene Yan

185

1/22/2026 • EN

Joonas Bergius

Joonas is a software engineer from Finland who writes about software architecture, distributed systems, and hands-on infrastructure projects, with a focus on Event Sourcing, CQRS, homelabs, and open-source engineering.

Software Architecture Distributed Systems Event Sourcing

Joonas Bergius

58