<p>David and I discuss the latest efforts he and his Elemental Cognition team have made to create machines that can understand stories the way humans can and do. The long term vision is to create what David calls "thought partners", which are virtual assistants that can learn and synthesize a massive amount of information for us when we need that information for whatever project we're working on. We also discuss the nature of understanding, language, the role of the biological sciences for AI, and more.</p>



<ul class="wp-block-list"><li>Dave’s business <a href="https://www.elementalcognition.com/">Elemental Cognition.</a></li><li>The paper we discuss:<ul><li><a href="https://arxiv.org/abs/2005.01525" target="_blank" rel="noreferrer noopener">To Test Machine Comprehension, Start by Defining Comprehension.</a>
</li></ul></li></ul>

David and I discuss the latest efforts he and his Elemental Cognition team have made to create machines that can understand stories the way humans can and do. The long term vision is to create what David calls "thought partners", which are virtual assistants that can learn and synthesize a massive amount of information for us when we need that information for whatever project we're working on. We also discuss the nature of understanding, language, the role of the biological sciences for AI, and more. Dave’s business Elemental Cognition.The paper we discuss:To Test Machine Comprehension, Start by Defining Comprehension.

<p>David and I discuss the latest efforts he and his Elemental Cognition team have made to create machines that can understand stories the way humans can and do. The long term vision is to create what David calls "thought partners", which are virtual assistants that can learn and synthesize a massive amount of information for us when we need that information for whatever project we're working on. We also discuss the nature of understanding, language, the role of the biological sciences for AI, and more.</p>



<ul><li>Dave’s business <a href="https://www.elementalcognition.com/" rel="noopener noreferrer">Elemental Cognition.</a></li><li>The paper we discuss:<ul><li><a href="https://arxiv.org/abs/2005.01525" rel="noopener noreferrer">To Test Machine Comprehension, Start by Defining Comprehension.</a>
</li></ul></li></ul>

BI 069 David Ferrucci: Machines To Understand Stories

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.

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BI 069 David Ferrucci: Machines To Understand Stories

BI 069 David Ferrucci: Machines To Understand Stories

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