Computer vision, Neural network, Pattern recognition, Artificial intelligence, Unsupervised learning, Psychology

1st SMILES WORKSHOP

On Oct 27, 2020
@pyoudeyer shared
RT @Clement_MF_: Next week we organize the SMILES workshop (Sensorimotor Interaction, Language and Embodiment of Symbols) as a satellite of @ICDL_EpiRob. Fully virtual, 6 keynote speakers and a number of paper presentations. Checkout the program and register for free at https://t.co/33HihKmxml
Open

On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). The SMILES workshop will address this issue through an ...

sites.google.com
On Oct 27, 2020
@pyoudeyer shared
RT @Clement_MF_: Next week we organize the SMILES workshop (Sensorimotor Interaction, Language and Embodiment of Symbols) as a satellite of @ICDL_EpiRob. Fully virtual, 6 keynote speakers and a number of paper presentations. Checkout the program and register for free at https://t.co/33HihKmxml
Open

1st SMILES WORKSHOP

1st SMILES WORKSHOP

On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word ...

Top 15 Deep Learning Applications In 2020

Top 15 Deep Learning Applications In 2020

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Deep learning explained

Deep learning explained

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Deep Learning Papers Reading Roadmap

Deep Learning Papers Reading Roadmap

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Artificial intelligence in radiology

Artificial intelligence in radiology

Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to ...

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An Alternative to Deep Learning? Guide to Hierarchical Temporal Memory (HTM) for Unsupervised Learning

An Alternative to Deep Learning? Guide to Hierarchical Temporal Memory (HTM) for Unsupervised Learning

Hierarchical temporal memory (HTM) method for unsupervised learning provides a tool which brings different strengths to the table compared to RNNs & CNNs

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How to automatically resolve trouble tickets with machine learning

How can ASPs quickly resolve issues to help improve customer satisfaction? There’s an algorithm for that…

What is AI? – In a simple way

What is AI? – In a simple way

The simplest way to discuss about AI is by considering the perspective of humans. We know that humans are the most intellectual creatures in this world. So, it is better to compare ...

Natural Language Processing with Deep Learning | Stanford University

Natural Language Processing with Deep Learning | Stanford University

Chris Manning and Richard Socher are giving lectures on “Natural Language Processing with Deep Learning CS224N/Ling284” at Stanford University.

Sentiment Analysis using Deep Learning

Sentiment Analysis using Deep Learning

Introduction The growth of the internet due to social networks such as facebook, twitter, Linkedin,  instagram etc. has led to significant users interaction an…

Demystifying the Buzzwords: What AI and ML Look Like in Practice

Demystifying the Buzzwords: What AI and ML Look Like in Practice

Artificial intelligence, artificial learning, and machine learning are often used as interchangeable terms. However, these terms refer to different technologies, and it is essential to ...

Editorial: Language Representation and Learning in Cognitive and Artificial Intelligence Systems

Editorial: Language Representation and Learning in Cognitive and Artificial Intelligence Systems

In recent years, the rise of deep learning has transformed the field of Natural Language Processing (NLP), producing models based on neural networks with impressive achievements in various ...

Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson

Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson

Currently, IBM has ten methods to cover these three groups of tasks: Logistic regression Decision tree classifier Random forest classifier Gradient boosted tree classifier Naive Bayes ...