TAI #202: GPT-5.5 Moves Codex Into Real Work
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie OpenAI released GPT-5.5 on April 23. In the same week, they launched workspace agents in ChatGPT and released Privacy Filter for PII redaction; Google …
Top 15 Computer Vision Datasets [2026]
Author(s): Asad Iqbal Originally published on Towards AI. A ML engineer’s guide to top image datasets. Learn about ImageNet, COCO, and more, and understand how data annotation and benchmarks drive AI model development. If you are not a premium Medium member, read …
Your Brain Is Running 5 Electrical Symphonies Right Now. We Built a Quantum Circuit to Listen.
Author(s): Vishnu Ajith Originally published on Towards AI. Originally published on LinkedIn What happened when we deployed a real VQC on EEG brain data and what four experiments actually told us about where quantum ML stands today. Quantum machine learning is one …
15 Tips to Use Claude Code More Effectively from Boris Cherny (Creator of Claude Code)
Author(s): Youssef Hosni Originally published on Towards AI. 15 Tips to Use Claude Code More Effectively from Boris Cherny (Creator of Claude Code) Most developers use Claude Code for simple tasks, but it can do much more than that. Once you start …
TAI #195: GPT-5.4 and the Arrival of AI Self-Improvement?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Two stories dominated this week that look unrelated but tell the same story. On Wednesday, OpenAI released GPT-5.4, its most work-oriented frontier model to …
The Footnote That Runs the World-Johan Jensen Died in 1925. He’d Never Seen a Computer. Stable Diffusion Runs His Math Every Second
Author(s): DrSwarnenduAI Originally published on Towards AI. The Footnote That Runs the World His name was Johan. Lets pay our homage today!This article explores the significant yet often unrecognized contributions of Johan Jensen, a telephone engineer whose mathematical insights have become foundational …
Part 5: Data Manipulation in Data Transformation
Author(s): Raj kumar Originally published on Towards AI. By the time we reach transformation in a data pipeline, the dataset usually appears stable. It has been imported with structure, inspected with skepticism, selected with intent, and cleaned through deliberate intervention. At this …
When AI Finally Learned That “Dog” and 🐕 Are the Same Thing, aka CLIP
Author(s): DrSwarnenduAI Originally published on Towards AI. How CLIP used 400 million internet image-caption pairs to solve the 60-year problem of connecting vision and language by making them occupy the same 512-dimensional manifold. Welcome back. I believe in coordinates and manifolds. If …
LAI #115: The Hidden Cost of “Agent-First” Thinking
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! AI is getting embedded into real workflows: repos, data platforms, enterprise search, and production infrastructure. And as that happens, a pattern is showing up everywhere: the biggest failures …
The 6 Optimization Algorithms: How AI Learns to Learn 10× Faster with 50% Less Memory
Author(s): TANVEER MUSTAFA Originally published on Towards AI. The 6 Optimization Algorithms: How AI Learns to Learn 10× Faster with 50% Less Memory You’re training a language model with 175 billion parameters. Image generated by Author using AIThis article explores six optimization …