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alt="The “Diffusion Forcing” method can sort through noisy data and reliably predict the next steps in a task, helping a robot complete manipulation tasks, for example. In one experiment, it helped a robotic arm rearrange toy fruits into target spots on circular mats despite starting from random positions and visual distractions (Credits: Mike Grimmett/MIT CSAIL)."
CSAIL article

In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries. There are also full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively “denoising” an entire video sequence

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alt="The “Faces in Things” dataset is a comprehensive, human-labeled collection of over 5,000 pareidolic images. The research team trained face-detection algorithms to see faces in these pictures, giving insight into how humans learned to recognize faces within their surroundings (Credits: Alex Shipps/MIT CSAIL)."
CSAIL article

In 1994, Florida jewelry designer Diana Duyser discovered what she believed to be the Virgin Mary’s image in a grilled cheese sandwich, which she preserved and later auctioned for $28,000. But how much do we really understand about pareidolia, the phenomenon of seeing faces and patterns in objects when they aren’t really there? 

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A system developed by MIT CSAIL researchers can oversee a team of both human and AI agents, communicating with team members to align roles and accomplish a common goal (Credits: Alex Shipps/MIT CSAIL).
CSAIL article

On a research cruise around Hawaii in 2018, Yuening Zhang SM ’19, PhD ’24 saw how difficult it was to keep a tight ship. The careful coordination required to map underwater terrain could sometimes led to a stressful environment for team members, who might have different understandings of which tasks must be completed in spontaneously changing conditions. During these trips, Zhang considered how a robotic companion could have helped her and her crewmates achieve their goals more efficiently.

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“Personhood credentials allow you to prove you are human without revealing anything else about your identity,” says Tobin South (Credits: MIT News; iStock).
CSAIL article

As artificial intelligence agents become more advanced, it could become increasingly difficult to distinguish between AI-powered users and real humans on the internet. In a new white paper, researchers from MIT, OpenAI, Microsoft, and other tech companies and academic institutions propose the use of personhood credentials, a verification technique that enables someone to prove they are a real human online, while preserving their privacy.