Beyond Correlation: Teaching AI to Understand Cause and Effect

A new framework is empowering large language models to move past statistical associations and perform genuine causal reasoning.

A new framework is empowering large language models to move past statistical associations and perform genuine causal reasoning.

A new self-evolving model empowers robots to tackle complex, multi-step manipulation challenges through continuous learning and improved memory.

A new framework leverages the power of artificial intelligence to automatically verify research citations by deeply analyzing the supporting evidence within full-text sources.

Researchers have developed a workflow that combines artist performance with AI tools to streamline the creation of nuanced facial expressions in manga.

A new framework offers a way to pinpoint the contributions of individual agents to emergent outcomes, paving the way for more interpretable and trustworthy AI systems.

A new framework drastically reduces the need for human guidance, allowing robots to master complex manipulation tasks in changing environments.

A new installation demonstrates that intentionally introducing limitations into artificial intelligence can yield more engaging and believable robotic agents.
As artificial intelligence becomes increasingly central to global power, the question isn’t whether nations will pursue autonomy, but how they’ll balance control with the benefits of open collaboration.

Researchers have developed a physics-based simulation environment, MagBotSim, to advance the development and training of magnetic levitation robotic systems.
The true key to harnessing artificial intelligence ethically isn’t better technology, but a fundamental shift in how we, as individuals, choose to use it.