artificial intelligence

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...

Good morning, { AI enthusiasts }. Elon Musk says Grok Imagine is now generating more images and videos than everyone else combined — and it just landed at the highest of the leaderboards, too.xAI’s...

Good morning, { AI enthusiasts }. 2025 saw recent AI browsers popping up left and right… But users didn’t seem too desirous to make the switch. Google is betting they will not need to,...

of autonomous vehicles and AI language models, yet the predominant physical interface through which we connect with machines has remained unchanged for 50 years. Astonishingly, we're still using the pc mouse, a tool...

, whether you’re a manager, an information scientist, an engineer, or a product owner, you’ve almost definitely been in no less than one meeting where the discussion revolved around “putting a model in production.” But...