Deep Learning 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

2/7/2026 • EN

Aditya Rohilla

Aditya Rohilla writes about software engineering, cloud-native systems, AI, and platform security. His blog covers practical insights on system design, GenAI, zero-trust architecture, and lessons learned from top tech companies like Amazon.

Software Engineering System Design Cloud Native

Aditya Rohilla

4

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

Eric Jang

Eric Jang is an AI researcher and engineer writing about machine learning, robotics, and generalization. His blog covers topics from LLMs and reinforcement learning to the future of intelligent robots and AI research careers.

artificial intelligence machine learning robotics

Eric Jang

10

2/3/2026 • EN

Brendan O’Connor

Brendan O’Connor is a researcher and data scientist writing about programming languages, data analysis, and machine learning. His work bridges Python, R, and Java, with thoughtful essays on software tools, research workflows, and empirical data exploration.

data science machine learning programming languages

Brendan O’Connor

6

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

Florian Dedov

Florian Dedov writes about Python programming, AI/ML concepts, and hands-on tech projects like Raspberry Pi. His content focuses on practical learning, project ideas, and demystifying AI terminology for developers and enthusiasts.

Python programming AI terminology machine learning

Florian Dedov

2

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

1/31/2026 • EN

John Langford

John Langford writes deeply analytical essays on machine learning theory, AI research, and the limits of current architectures. His work explores sample efficiency, representation, long-term memory, and how future AI systems might move beyond today’s transformer-based models.

machine learning theory artificial intelligence learning efficiency

John Langford

9

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

1/25/2026 • 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

Julien Jerphanion

Julien Jerphanion writes in-depth articles on machine learning performance, numerical computing, and software craftsmanship. His work focuses on scikit-learn internals, efficient algorithms, and building a strong theoretical understanding of ML systems.

Machine Learning scikit-learn Numerical Computing

Julien Jerphanion

9

1/25/2026 • EN

Jay Mody

Jay Mody is a software engineer and writer sharing clear, concise explanations of machine learning concepts and numerical computing. His blog focuses on intuition-driven deep dives into topics like GPT, attention, and efficient NumPy implementations.

Machine Learning Deep Learning NumPy

Jay Mody

5

1/25/2026 • EN

Thomas Lumley

Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.

statistics data analysis statistical modeling

Thomas Lumley

215

1/23/2026 • EN

Ferenc Huszár

Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge and founder of Reasonable, a deep tech startup building advanced programming LLMs. His research focuses on learning theory, reasoning, and inductive biases in deep learning.

machine learning research LLM theory AI reasoning

Ferenc Huszár

15

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