Dyslexic thinking made me the scientist I am today

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Progress has always been made by people who think differently. Neurodiversity helps us think outside the box – and when we do, the sky’s the limit

That matters, because dyslexia is still so often described only in terms of what it makes difficult. And yes, some things are difficult. Reading and writing are still a slog, processing information can take more brain power than I would like – and my spelling remains gloriously unreliable. But difficulty is not the whole story. Not even close.

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Researchers successfully mimic dyslexia in an AI brain

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For the first time researchers have used an advanced AI model that understands both images and language allowing them to model dyslexia, paving the way for potential new treatments.

Dyslexia, the world’s most common learning disorder impacting reading, spelling and writing, is estimated to affect up to 20% of the global population. Until now, traditional approaches to studying dyslexia, such as behavioral and neuroimaging methods, have provided valuable insights but remain limited in their ability to test the underlying mechanisms of reading impairments.

Now, researchers from EPFL’s NeuroAI Lab , part of the Schools of Computer and Communication Sciences and Life Sciences have modelled dyslexia using next-generation Vision Language Models, that can fully model the whole pipeline from seeing words to processing and understanding the context.

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Evidence-Based: New MIT Study Validates Learning Ally’s Audiobook Solution for K-12 Vocabulary Gains

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Learning Ally today announced new findings from a randomized controlled trial conducted in collaboration with researchers from the McGovern Institute for Brain Research at the Massachusetts Institute of Technology and the Wheelock College of Education and Human Development. This landmark study provides powerful new evidence validating the positive impact of Learning Ally’s unique approach to audiobook-based interventions on student literacy development.

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