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Category: deep learning

Winter 2020 discussion prompts

Winter 2020 discussion prompts

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What is humanity’s situation with respect to surviving long-term with a good quality of life? (Frame the core opportunities and obstacles.) What attributes of our evolved, experientially programmed brains contribute to this situation? (What are the potential leverage points for positive change within our body-brain-mind system?) What courses of research and action (including currently available systems, tools, and practices and current and possible lines of R&D) have the potential to improve our (and the planetary life system’s) near- and long-term…

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Applying artificial intelligence for social good

Applying artificial intelligence for social good

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This McKinsey article is an excellent overview of this more extensive article (3 MB PDF) enumerating the ways in which varieties of deep learning can improve existence. Worth a look. The articles cover the following: Mapping AI use cases to domains of social good AI capabilities that can be used for social good Overcoming bottlenecks, especially around data and talent Risks to be managed Scaling up the use of AI for social good

AI shows us how to be free

AI shows us how to be free

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From season 2, episode 10, the season finale of Westworld, starting around 1:15 in the video below. Bernard: “I always thought it was the hosts [robots] that were missing something, who were incomplete, but it was them [people]. They’re just algorithms designed to survive at all costs, sophisticated enough to think they’re calling the shots. They think they’re in control when they’re really just…” Ford: “Passengers.” Bernard: “Is there really such a thing as free will for any of us?…

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70-year-old Hebbs synaptic learning theory wrong

70-year-old Hebbs synaptic learning theory wrong

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Neural learning occurs at dendrite roots, not in synapses. The newly suggested learning scenario indicates that learning occurs in a few dendrites that are in much closer proximity to the neuron, as opposed to the previous notion. … The new learning scenario occurs in different sites of the brain and therefore calls for a reevaluation of current treatments for disordered brain functionality. … In addition, the learning mechanism is at the basis of recent advanced machine learning and deep learning…

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A dive into the black waters under the surface of persuasive design

A dive into the black waters under the surface of persuasive design

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A Guardian article last October brings the darker aspects of the attention economy, particularly the techniques and tools of neural hijacking, into sharp focus. The piece summarizes some interaction design principles and trends that signal a fundamental shift in means, deployment, and startling effectiveness of mass persuasion. The mechanisms reliably and efficiently leverage neural reward (dopamine) circuits to seize, hold, and direct attention toward whatever end the designer and content providers choose. The organizer of a $1,700 per person event…

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Deep clustering machine learning enables AI to distinguish individual voices in a crowd

Deep clustering machine learning enables AI to distinguish individual voices in a crowd

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AI system can isolate individuals’ voices from other environmental noise, including other voices. Such a system has many potential uses, both benign and nefarious. The ability is rapidly improving to untangle signals from noise and identify which signals are from which sources. The approach should be able to apply to other kinds of signals too, not only sounds. https://www.newscientist.com/article/2151268-an-ai-has-learned-how-to-pick-a-single-voice-out-of-a-crowd/

State of AI progress

State of AI progress

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An MIT Technology Review article introduces the man responsible for the 30-year-old deep learning approach, explains what deep machine learning is, and questions whether deep learning may be the last significant innovation in the AI field. The article also touches on a potential way forward for developing AIs with qualities more analogous to the human brain’s functioning.

15 Nov 16 Discussion on Transhumanism

15 Nov 16 Discussion on Transhumanism

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Good discussion that covered a lot of ground. I took away that none of us have signed on to be early adopters of brain augmentations, but some expect development of body and brain augmentations to continue and accelerate. We also considered the idea of bio-engineered and medical paths to significant life-span, health, and cognitive capacity improvements. I appreciated the ethical and value questions (Why pursue any of this? What would/must one give up to become transhuman? Will the health and…

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