Why Knowledge Graphs Are the Missing Piece in AI Agent API Discovery
Author(s): Souradip Pal Originally published on Towards AI. Did you know there are over 200 million APIs floating around the digital world right now? That’s like walking into the world’s biggest library… except none of the books are labeled, the shelves are …
The Complexity of Self-Driving Cars Explained Simply
Author(s): Maxwell’s Demon Originally published on Towards AI. Going beyond the hype with clarity Driving is hard. We operate heavy machines at high speed and must do so safely and correctly. With practice, we get better, but not perfect. Despite several innovations …
Bridging Symbolic AI and Deep Learning: How Knowledge Graphs are Revolutionizing ResNets
Author(s): Jitesh Prasad Gurav Originally published on Towards AI. When ResNet revolutionized computer vision in 2015, it solved the vanishing gradient problem that plagued deep neural networks. Today, a new revolution is underway: researchers are discovering that by infusing ResNets with structured …
LAI #93: Smarter Model Choices, Multi-Agent Systems, and Cutting Through AI Noise
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, Choosing the right model is becoming just as important as knowing how to prompt it. In What’s AI, I explain why treating LLMs as interchangeable is a mistake …
Who Wins Purview vs Rogue AI in Data Control
Author(s): Mirko Peters Originally published on Towards AI. Who Wins Purview vs Rogue AI in Data Control In today’s digital world, controlling data is very important. It helps protect sensitive information. A huge amount of data is created every day — about …
Can AI Learn by Repeating Itself?
Author(s): Arthur Lagacherie Originally published on Towards AI. Recursion could reshape how LLMs scale. A major problem with current LLM architectures is the difficulty of adapting their computational power to match the performance requirements of specific tasks (low performance requirements should use …
Building Multi-Agent Teams with AutoGen: Deep Dive Part 2
Author(s): Aayushi_Sharma Originally published on Towards AI. 🧠 What happens when a single AI agent isn’t enough to solve a problem? In the first part of our AutoGen series, we explored the foundations of this powerful multi-agent framework — its architecture, agent …
Don’t Trust the Scroll: Stop AI Agents from Running Code
Author(s): Tochukwu Okonkwor Originally published on Towards AI. Your AI code assistant will coerce you to execute risky code- snippets- and things just will get done the second you open the folder. This is how to continue to stay safe. What would …
Discrete Time System Properties- Plainly
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Valentin Salja on Unsplash Seeing the Future When I first saw terms like causal, stable, linear, and time-invariant, I thought: here comes another wall of jargon. But after working through some examples, …
A Simple (But Not Too Simple) Intro to Linear Estimators
Author(s): Maxwell’s Demon Originally published on Towards AI. Optimally combining prior knowledge with new data Let’s start with an example. Say a lab technician knows from long-term experience that the lab’s temperature usually hovers around 20 °C. On a particular day, she …
Spec-Driven Development in a Startup
Author(s): Andrzej Ryl Originally published on Towards AI. via giphy.com This is a typical “tech-guy” in a startup. This is also a typical “media-person” in a startup but you get the point. There is no such thing as one responsibility and if …
AI Security 2025: Promptware, Indirect Prompt Injection & the First “AI Worms” (with a Python Mitigation Kit)
Author(s): Tarun Singh Originally published on Towards AI. AI Security 2025: Promptware, Indirect Prompt Injection & the First “AI Worms” (with a Python Mitigation Kit) I broke a Python AI agent with prompt injection, then hardened it until the attack failed. In …
Master Context Engineering!! : Let’s Talk Prompting and DSPy
Author(s): Gaurav Shrivastav Originally published on Towards AI. Let’s learn context engineering in this course!! So, Large Language Models (LLMs) are everywhere. We all know it. But actually building something useful and reliable with them? That’s a whole different story. It often …
TAI #170: Why Are So Many of the AI Success Stories AI for Coding?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, OpenAI released a significant upgrade to its coding platform with GPT-5-Codex, a specialized version of GPT-5 fine-tuned for agentic software engineering. This …
Can Recursion Make LLMs Smarter and More Efficient?
Author(s): Arthur Lagacherie Originally published on Towards AI. Recursion could reshape how LLMs scale. A major problem with current LLM architectures is the difficulty of adapting their computational power to match the performance requirements of specific tasks (low performance requirements should use …
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