Age, Biography and Wiki

Erik J. Larson was born on 1971, is a Computer. Discover Erik J. Larson's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 52 years old?

Popular As N/A
Occupation Computer scientist, author
Age 52 years old
Zodiac Sign
Born 1971, 1971
Birthday 1971
Birthplace N/A
Nationality

We recommend you to check the complete list of Famous People born on 1971. He is a member of famous Computer with the age 52 years old group.

Erik J. Larson Height, Weight & Measurements

At 52 years old, Erik J. Larson height not available right now. We will update Erik J. Larson's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
Body Measurements Not Available
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Hair Color Not Available

Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

Family
Parents Not Available
Wife Not Available
Sibling Not Available
Children Not Available

Erik J. Larson Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is Erik J. Larson worth at the age of 52 years old? Erik J. Larson’s income source is mostly from being a successful Computer. He is from . We have estimated Erik J. Larson's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
House Not Available
Cars Not Available
Source of Income Computer

Erik J. Larson Social Network

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Timeline

2021

Larson's book, The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do (.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free a,.mw-parser-output .citation .cs1-lock-free a{background:linear-gradient(transparent,transparent),url("//upload.wikimedia.org/wikipedia/commons/6/65/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited a,.mw-parser-output .id-lock-registration a,.mw-parser-output .citation .cs1-lock-limited a,.mw-parser-output .citation .cs1-lock-registration a{background:linear-gradient(transparent,transparent),url("//upload.wikimedia.org/wikipedia/commons/d/d6/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription a,.mw-parser-output .citation .cs1-lock-subscription a{background:linear-gradient(transparent,transparent),url("//upload.wikimedia.org/wikipedia/commons/a/aa/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:linear-gradient(transparent,transparent),url("//upload.wikimedia.org/wikipedia/commons/4/4c/Wikisource-logo.svg")right 0.1em center/12px no-repeat}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:#d33}.mw-parser-output .cs1-visible-error{color:#d33}.mw-parser-output .cs1-maint{display:none;color:#3a3;margin-left:0.3em}.mw-parser-output .cs1-format{font-size:95%}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}ISBN 9780674983519 ) was published by Harvard University Press on April 6, 2021. In the book, "Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know—our own." While this title offers clarity for those bewildered by yet another AI spring, references to Turing do not address very much of Turing's work. A Turing machine manipulates symbols. Turing's AI is described as mechanistic because the "intelligence" in Turing's AI is not suggested as a replacement for human intelligence and the other forms of intelligence which naysayers like to throw in the mix.

2000

In the early 2000s, Larson worked for Cycorp, home of the Cyc artificial intelligence project, on a knowledge-based approach to network security. He then researched and published articles on knowledge base technology, ontology, and the Semantic Web for the Digital Media Collaboratory, a research lab founded by American businessman George Kozmetsky affiliated with the Innovation, Creativity, and Capital Institute, at The University of Texas at Austin. He founded his first company, Knexient, in 2009 with funding from DARPA to process open source text documents using his Hierarchical Document Classifier algorithm. Larson later co-founded Influence Networks after developing an algorithm to produce web-based rankings of colleges and universities with funding from DARPA. The algorithm is the foundation for the AcademicInflunce.com InfluenceRanking Engine. In 2020 Larson joined Knowledge Based Systems, Inc. in College Station, Texas as a Research Scientist specializing in natural language processing.

1994

Larson graduated from Whitworth University in Spokane, Washington in 1994 as an All America Scholar Athlete. He earned a PhD in philosophy from The University of Texas at Austin in 2009, where his dissertation was a hybrid combining work in computer science, linguistics, and philosophy.