Semanlink - Science ; Géographie AND Education

> an overview of the material covered in a course taught at Stanford in the spring quarter of 2018. The course draws upon **insight from cognitive and systems neuroscience to implement hybrid connectionist and symbolic reasoning systems** that leverage and extend the state of the art in machine learning **by integrating human and machine intelligence**. As a concrete example we focus on digital assistants that learn from continuous dialog with an expert software engineer while providing initial value as powerful analytical, computational and mathematical savants.

> [#Dehaene](/tag/stanislas_dehaene)'s work extends the [#Global Workspace Theory](/tag/global_workspace_theory) of Bernard Baars. Dehaene’s version of the theory combined with Yoshua Bengio’s concept of a [#consciousness prior](/tag/consciousness_prior.html) and deep reinforcement learning suggest a model for constructing and maintaining the cognitive states that arise and persist during complex problem solving.

2019-11-12 About

Brains in Silicon

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2017-09-07 About

Stanford bioengineers create circuit board modeled on the human brain | Stanford News Release

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2014-04-30 About

Rajesh Rao: Une Pierre de Rosette pour l'écriture de l'Indus | Video on TED.com

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2014-01-11 About

Erudition, piège à cons ? | Alchimie du collège

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