Hedge funds unleash AI bots on stock and bond exchanges — but they don’t just compete, they collude. Instead of battling for ...

What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference," says developers should test any AI bot ...

Before we get to today's column, my colleague Valida and I reported Tuesday that Canadian AI model maker Cohere is in talks ...

Ever since researchers began noticing a slowdown in improvements to large language models using traditional training methods, ...

AiMOGA Robotics has announced a major milestone in the real-world deployment of embodied AI. Its humanoid robot, Mornine, has ...

Azure Machine Learning is also previewing cloud-based reinforcement learning offerings for data scientists and machine learning professionals. “We’ve come a long way in the last two years when we had ...

Deep reinforcement learning is much more complicated than the other branches of machine learning. But in this post, I’ll try to demystify it without going into the technical details.

Reinforcement learning is notoriously renowned for requiring huge amounts of data. For instance, a reinforcement learning agent might need centuries worth of gameplay to master a computer game.

Renewable energy sources like solar and wind are inherently intermittent and unpredictable, making it difficult for grid ...

Reinforcement learning has been around for decades, but for a while it seemed like a dead end. One of your old advisers in fact told me that she tried to dissuade you from working on it.