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Articles on computational modeling

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Human vision can’t be fully reproduced with ones and zeros. seamartini/iStock via Getty Images Plus

August 6, 2024

Brain implants to restore sight, like Neuralink’s Blindsight, face a fundamental problem − more pixels don’t ensure better vision

Ione Fine, University of Washington and Geoffrey Boynton, University of Washington

Engineers have tried for decades to develop bionic eyes to reverse blindness. But the brain is far more complex than a computer.

A technological solution that uses artificial intelligence in one location may not necessarily be applicable in other contexts. (Shutterstock)

August 17, 2023

The use of AI during the COVID-19 pandemic required adapting the technology to its context

Eleonore Fournier-Tombs, United Nations University

Models are powerful, but they have their risks, and AI is just the latest example. The best way to address this is by ensuring that AI can be developed in a globally decentralized way.

Researchers can program neural networks composed of artificial neurons to simulate language processing. Andriy Onufriyenko/Getty Images

August 31, 2021

Bilingual people with language loss due to stroke can pose a treatment challenge – computational modeling may help clinicians treat them

Claudia Peñaloza, Boston University

Computational modeling can predict language therapy response in bilingual people with aphasia. In the future, this could help clinicians identify the best language for treatment.

Top contributors

Claudia Peñaloza
Ramón y Cajal Research Fellow, Universitat de Barcelona
Eleonore Fournier-Tombs
Head of Anticipatory Action and Innovation, Centre for Policy Research (UNU-CPR), United Nations University
Ione Fine
Professor of Psychology, University of Washington
Geoffrey Boynton
Professor of Psychology, University of Washington

Articles on computational modeling

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