The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

We’ve only just scratched the surface of what AI can achieve in science.

New research suggests "that humans are equipped from the get-go to think about whether things are possible or unlikely or just can't happen."

Study finds many climate-stabilization plans are based on questionable assumptions about the future cost and deployment of “direct air capture” and therefore may not bring about promised reductions.

MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data.

"If we can reduce the energy consumed by AI, we can reduce AI's carbon footprint and cooling requirements..."

New AI headphones create a "sound bubble" that quiets all sounds more than a few feet away.

Screen time is more than just hours spent on devices. By studying diverse digital habits, researchers can help people adopt a balanced approach to technology.