Semanlink - Favoris ; Artificial Intelligence AND Neuroscience AND AI

[2201.00042] Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

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2022-06-26 A propos

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation | Frontiers in Computational Neuroscience

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2021-03-19 A propos

[2003.03384] AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

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2020-03-17 A propos

[1807.00082] Amanuensis: The Programmer's Apprentice

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**The use of natural language to facilitate communication
between the expert programmer and apprentice AI system.**

> 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 A propos

[1908.01580] The HSIC Bottleneck: Deep Learning without Back-Propagation

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2019-08-15 A propos

Towards bridging the gap between deep learning and brains

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2018-10-23 A propos

[1611.04228] Learning Sparse, Distributed Representations using the Hebbian Principle

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2017-04-28 A propos

How Mimicking Brain Function is Revolutionising NLP - Dataconomy

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2017-04-28 A propos