Categories: AI/ML News

AI system found to outperform humans in creating urban planning designs

A team of urban planners and information scientists at Tsinghua University in China has found that an AI-based urban planning system was able to outperform human experts in creating urban planning designs. In their study, reported in the journal Nature Computational Science, the group describes the factors that were used in describing the ideal urban plan and how well their AI did when tested. Paolo Santi, with the MIT Senseable City Lab, has published a News & Views piece in the same journal issue outlining the work done by the team on this new effort.

Two types of LLMs found able to equal or outperform humans on theory of mind tests

An international team of psychologists and neurobiologists has found via experimentation that two types of LLMs are able to equal or outperform humans on theory of mind tests. In their study reported in the journal Nature Human Behavior, the group administered theory of mind tests to volunteers and compared the…

May 22, 2024

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Machine learning framework maps global rooftop growth for sustainable energy and urban planning

A novel machine learning framework developed by IIASA researchers to estimate global rooftop area growth from 2020 to 2050 can aid in planning sustainable energy systems, urban development, and climate change mitigation, and has potential for significant benefits in emerging economies.

July 17, 2024

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Lightweight framework enables faster, more accurate object detection for UAV remote sensing

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such as disaster response, urban planning, and environmental monitoring. Yet, designing models that balance both high accuracy and fast, lightweight performance remains…

September 27, 2025

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AI Generated Robotic Content