artificial intelligence

Introduction Lately, Generative Adversarial Networks (GANs) have achieved remarkable ends in automatic image synthesis. Nonetheless, objectively evaluating the standard of the generated data stays an open challenge. Unlike discriminative models, for which established metrics exist,...

Good morning, { AI enthusiasts }. Rockets, AI models, a social platform, and now data centers in orbit — Elon Musk is constructing something that no other company can replicate.Musk just merged xAI and...

You hold a Master’s in Physics and Astrophysics. How does your background play into your work in data science and AI engineering?  Physics taught me two things that I lean on on a regular basis:...

Good morning, { AI enthusiasts }. What happens while you give one million AI agents their very own social platform? They create religions, mock their users, and begin asking for personal channels… While humans...

on Real-World Problems is Hard Reinforcement learning looks straightforward in controlled settings: well-defined states, dense rewards, stationary dynamics, unlimited simulation. Most benchmark results are produced under those assumptions. Observations are partial and noisy, rewards...

of Claude Code, Anthropic’s ubiquitous command-line coding tool, but baulk at the prices of using it, Ollama recently gave you a late Christmas present.  Just a few weeks ago, they announced that their latest...

Introduction within the period of 2017-2019, physics-informed neural networks (PINNs) have been a very talked-about area of research within the scientific machine learning (SciML) community . PINNs are used to unravel atypical and partial...

landed on arXiv just before Christmas 2025, very much an early present from the team at Google DeepMind, with the title “Towards a Science of Scaling Agent Systems.” I discovered this paper to be a...