artificial
artificial

Using Multi-Agent Reinforcement Learning results in better urban planning outcomes

Urban planning is tricky – governments push top-down changes while locals want bottom-up ideas. It's hard to find compromises that make everyone happier. A new research paper proposes using Multi-Agent Reinforcement Learning (MARL) to vote on land …

AI explains why a human simply talking with a more intelligent AI would, by those conversations, become more intelligent.

Engaging with a more intelligent AI can act as a cognitive catalyst for human intelligence in several ways. First, the AI can rapidly introduce new concepts and frameworks that you might not have encountered, effectively accelerating your learning curv…