Breaking the Wall to Mind Machines, How Deep Learning Can Give Birth to General Artificial Intelligence
(eVideo)

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Published
[Place of publication not identified] : Falling Walls Foundation, [2015].
Format
eVideo
Language
English

Notes

General Note
Originally released by Falling Walls Foundation, 2015.
General Note
Streaming video file encoded with permission for digital streaming by Infobase on October 06, 2016.
Description
From chessbots to chatbots and from search algorithms to industrial assembly machines, humanity has arrived at the age of machine intelligence - or at least machine work, if we take seriously a definition of intelligence as "the abilities to learn from experience, adapt to new situations, understand and handle abstract concepts, and use knowledge to manipulate one's environment" (Encyclopedia Britannica). While some machines like IBM's Watson are astonishingly good at solving certain problems, a general artificial intelligence (AI) which would satisfy the definition above has yet to be created. AI research has been around since the mid-1950s, but the enormous scientific and technical challenges of building a "full AI" are still keeping researchers and programmers awake at night. Spearheading today's research is a London-based start-up, DeepMind, which was founded in 2010 and bought by Google in 2014. Co-founder and CEO Demis Hassabis is a former child chess prodigy, video game creator, neuroscientist and an artificial intelligence researcher whose vision is to "solve intelligence and use it to solve everything else". With more than 150 brilliant machine learning experts, AI researchers and coders, Google DeepMind is now one of the most promising candidates for realizing this extremely ambitious goal. At Falling Walls, Demis provides rare insights into the organization that has set out to create an "Apollo mission" for AI research.
Target Audience
9 - 12, Academic/AP
Language
Closed-captioned.
Local note
InfoBase Learning,Films on Demand: Master Academic Collection - US

Citations

APA Citation, 7th Edition (style guide)

(2015). Breaking the Wall to Mind Machines, How Deep Learning Can Give Birth to General Artificial Intelligence . Falling Walls Foundation.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

2015. Breaking the Wall to Mind Machines, How Deep Learning Can Give Birth to General Artificial Intelligence. [Place of publication not identified]: Falling Walls Foundation.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Breaking the Wall to Mind Machines, How Deep Learning Can Give Birth to General Artificial Intelligence [Place of publication not identified]: Falling Walls Foundation, 2015.

Harvard Citation (style guide)

(2015). Breaking the wall to mind machines, how deep learning can give birth to general artificial intelligence. [Place of publication not identified]: Falling Walls Foundation.

MLA Citation, 9th Edition (style guide)

Breaking the Wall to Mind Machines, How Deep Learning Can Give Birth to General Artificial Intelligence Falling Walls Foundation, 2015.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
7a0ec291-7b4b-42e6-1f4e-45b46acd9a09-eng
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Grouped Work ID7a0ec291-7b4b-42e6-1f4e-45b46acd9a09-eng
Full titlebreaking the wall to mind machines how deep learning can give birth to general artificial intelligence
Authorinfobase
Grouping Categorymovie
Last Update2024-08-18 07:54:41AM
Last Indexed2025-01-30 02:21:20AM

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First LoadedFeb 6, 2025
Last UsedFeb 6, 2025

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First DetectedAug 13, 2024 02:36:14 PM
Last File Modification TimeAug 13, 2024 02:36:14 PM

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