Semanlink - Science AND Google

> 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

Restoring ancient text using deep learning: a case study on Greek epigraphy | DeepMind

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2019-10-18 About

Hamiltonian Neural Networks

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2019-06-11 About

The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI | Wired Enterprise | Wired.com

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2013-05-25 About

Launching the Quantum Artificial Intelligence Lab

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2013-05-17 About

GRDDL in OwlSight | Thinking Clearly

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2008-04-11 About