The brain may learn about the world the same way some computational models do
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
It’s not easy to parse young children’s words, but adults’ beliefs about what children want to communicate helps make it possible, a new study finds.
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
The awards support creative, innovative research with a broad impact.
Images that humans perceive as completely unrelated can be classified as the same by computational models.
New research finds RNA-guided enzymes called Fanzors are widespread among eukaryotic organisms.
Professor Mark Bear's research on brain plasticity spins off a promising candidate to treat amblyopia, or lazy eye.
Scientists have invested decades in piecing together how our vision is so good at recognizing what’s familiar. A new study overcomes an apparent discrepancy in data to reveal a new insight into how it works.
New research suggests daily mindfulness training at home helped reduce kids’ stress levels and negative emotions.
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
Study finds that in worms, the HSN neuron uses multiple chemicals and connections to orchestrate egg-laying and locomotion over the course of several minutes.
Through his leadership and vision, McGovern Institute postdoc Ubadah Sabbagh aims to improve the scientific process in the US and abroad.
With the growing use of AI in many disciplines, the popularity of MIT’s four “blended” majors has intensified.
By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.