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alt="A team of MIT researchers found highly memorable images have stronger and sustained responses in ventro-occipital brain cortices, peaking at around 300ms. Conceptually similar but easily forgettable images quickly fade away (Credits: Alex Shipps/MIT CSAIL)."
CSAIL article

For nearly a decade, a team of MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have been seeking to uncover why certain images persist in a people's minds, while many others fade. To do this, they set out to map the spatio-temporal brain dynamics involved in recognizing a visual image. And now for the first time, scientists harnessed the combined strengths of magnetoencephalography (MEG), which captures the timing of brain activity, and functional magnetic resonance imaging (fMRI), which identifies active brain regions, to precisely determine when and where the brain processes a memorable image.

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HLA
CSAIL article

On the surface, the movement disorder amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig’s disease, and the cognitive disorder frontotemporal lobar degeneration (FTLD), which underlies frontotemporal dementia, manifest in very different ways. In addition, they are known to primarily affect very different regions of the brain.

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alt="FeatUp is an algorithm that upgrades the resolution of deep networks for improved performance in computer vision tasks such as object recognition, scene parsing, and depth measurement (Credits: Mark Hamilton and Alex Shipps/MIT CSAIL, top image via Unsplash)."
CSAIL article

Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern computer vision algorithms: They are fantastic at capturing high-level details of a scene, but they lose fine-grained details as they process information.

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alt="Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation."
CSAIL article

You’ve likely met someone who identifies as a visual or auditory learner, but others absorb knowledge through a different modality: touch. Being able to understand tactile interactions is especially important for tasks such as learning delicate surgeries and playing musical instruments, but unlike video and audio, touch is difficult to record and transfer.

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alt="MIT team developed two machine-learning models for early detection of pancreatic ductal adenocarcinoma (PDAC), the most common form of the cancer. To access a broad and diverse database, the team synced up with a federated network company, using Electronic Health Record (EHR) data from various institutions across the US (Credits: Sudarsan Thobias/Shutterstock and Alex Shipps/MIT CSAIL)."
CSAIL article

The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and challenging odyssey to understand the elusive and deadly disease. To date, there is no better cancer treatment than early intervention. Unfortunately, the pancreas, nestled deep within the abdomen, is particularly elusive for early detection.