Problems

The industry’s outliers have distorted our definition of Recommender Systems. TikTok, Spotify, and Netflix employ hybrid deep learning models combining collaborative- and content-based filtering to deliver personalized recommendations you didn’t even know you’d like....

has turn out to be the one only approach for me to resolve problems. Most problems I encounter at work might be solved effectively by utilizing agents. That is in contrast to manually...

is an annual advent calendar of programming puzzles which might be themed around helping Santa’s elves prepare for Christmas. The whimsical setting masks the proven fact that many puzzles call for serious algorithmic...

One might encounter various frustrating difficulties when attempting to numerically solve a difficult nonlinear and nonconvex optimal control problem. In this text I'll consider such a difficult problem, that of finding the shortest path...

To make large language models (LLMs) more accurate when answering harder questions,...

You’ve written extensively about agentic AI and frameworks like smolagents and LangGraph. What excites you most about this emerging space? I first began exploring generative AI largely out of curiosity and, admittedly, a little bit...

“You may see it as a form of super coding agent,” says Pushmeet Kohli, a vp at Google DeepMind who leads its AI for Science teams. “It doesn’t just propose a bit of...

When some commuter trains arrive at the tip of the road, they...