Catherine Havasi

Last updated
Catherine Havasi
Catherine Havasi, Luminoso CEO.jpg
Born1981 (age 42–43)
Pittsburgh, Pennsylvania
NationalityAmerican
Alma mater Massachusetts Institute of Technology (MIT) (S.B., 2003)
(M.Eng, 2004)
Brandeis University (Ph.D, 2009)
Known for
Scientific career
Fields Artificial intelligence
Thesis Discovering Semantic Relations Using Singular Value Decomposition[ citation needed ] (2009)
Doctoral advisor James Pustejovsky [ citation needed ]

Catherine Havasi (born 1981) is an American scientist who specializes in artificial intelligence (AI) at MIT Media Lab. [1] She co-founded [2] and was CEO of AI company, Luminoso for 8 years. [3] Havasi was a member of the MIT group engaged in the Open Mind Common Sense (also known as OMCS) AI project that created the natural language AI program ConceptNet. [4] [5] Havasi is currently the Chief of Innovation and Technology Strategy at Babel Street, AI-enabled data-to-knowledge platform. [6]

Contents

Early life and education

Havasi grew up in Pittsburgh and became interested in artificial intelligence from reading Marvin Minsky's 1986 book The Society of Mind . [7] She attended the Massachusetts Institute of Technology, where she became involved in the MIT Media Lab and studied under Minsky. [7] Havasi is an alumnus of the Science Talent Search 1999 as well as the International Science and Engineering Fair 1996, 1998, and 1999. [6] She received a S.B. and M.Eng from MIT and a PhD in computer science from Brandeis University. [5] [8]

Career

In the 1990s, Catherine Havasi invented crowd sourcing for artificial intelligence. [9] In 1999, she became involved in the MIT project Open Mind Common Sense with Minsky and Push Singh, [4] and was part of a team that created ConceptNet, an open-source semantic network based on the information in the OMCS database. [7]

In 2010, Havasi was among the team that founded Luminoso, a text analytics software company building on the work of ConceptNet. [10]

Havasi was named among Boston Business Journal's "40 Under 40", of business and civic leaders making a major impact in their respective fields in 2014. [5] Fast Company included her in its "100 Most Creative People in Business 2015" listing. [2]

In 2019, the U.S Embassy invited Dr. Catherine to Portugal to give a series of lectures on "Practical Natural Language Processing" due to her work at MIT, expanding the fields of transfer and meta learning, educational outreach, natural language understanding, and computational creativity. [11]

She is co-author of 7 peer-reviewed journal articles on AI and language, and many peer-reviewed major conference presentations. [12]

Selected publications

Most cited publication

Other publications

Related Research Articles

Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs.

<span class="mw-page-title-main">Cyc</span> Artificial intelligence project

Cyc is a long-term artificial intelligence project that aims to assemble a comprehensive ontology and knowledge base that spans the basic concepts and rules about how the world works. Hoping to capture common sense knowledge, Cyc focuses on implicit knowledge. The project began in July 1984 at MCC and was developed later by the Cycorp company.

Knowledge representation and reasoning is a field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks, such as diagnosing a medical condition or having a natural-language dialog. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge, in order to design formalisms that make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning.

<span class="mw-page-title-main">Marvin Minsky</span> American cognitive scientist (1927–2016)

Marvin Lee Minsky was an American cognitive and computer scientist concerned largely with research of artificial intelligence (AI). He co-founded the Massachusetts Institute of Technology's AI laboratory and wrote several texts concerning AI and philosophy.

Open Mind Common Sense (OMCS) is an artificial intelligence project based at the Massachusetts Institute of Technology (MIT) Media Lab whose goal is to build and utilize a large commonsense knowledge base from the contributions of many thousands of people across the Web. It has been active from 1999 to 2016.

<span class="mw-page-title-main">John McCarthy (computer scientist)</span> American scientist (1927–2011)

John McCarthy was an American computer scientist and cognitive scientist. He was one of the founders of the discipline of artificial intelligence. He co-authored the document that coined the term "artificial intelligence" (AI), developed the programming language family Lisp, significantly influenced the design of the language ALGOL, popularized time-sharing, and invented garbage collection.

<span class="mw-page-title-main">MIT Computer Science and Artificial Intelligence Laboratory</span> CS and AI Laboratory at MIT (formed by merger in 2003)

Computer Science and Artificial Intelligence Laboratory (CSAIL) is a research institute at the Massachusetts Institute of Technology (MIT) formed by the 2003 merger of the Laboratory for Computer Science (LCS) and the Artificial Intelligence Laboratory. Housed within the Ray and Maria Stata Center, CSAIL is the largest on-campus laboratory as measured by research scope and membership. It is part of the Schwarzman College of Computing but is also overseen by the MIT Vice President of Research.

In artificial intelligence (AI), commonsense reasoning is a human-like ability to make presumptions about the type and essence of ordinary situations humans encounter every day. These assumptions include judgments about the nature of physical objects, taxonomic properties, and peoples' intentions. A device that exhibits commonsense reasoning might be capable of drawing conclusions that are similar to humans' folk psychology and naive physics.

In artificial intelligence research, commonsense knowledge consists of facts about the everyday world, such as "Lemons are sour", or "Cows say moo", that all humans are expected to know. It is currently an unsolved problem in artificial general intelligence. The first AI program to address common sense knowledge was Advice Taker in 1959 by John McCarthy.

<span class="mw-page-title-main">History of artificial intelligence</span>

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The study of logic and formal reasoning from antiquity to the present led directly to the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.

Knowledge collection from volunteer contributors (KCVC) is a subfield of knowledge acquisition within artificial intelligence which attempts to drive down the cost of acquiring the knowledge required to support automated reasoning by having the public enter knowledge in computer processable form over the internet. KCVC might be regarded as similar in spirit to Wikipedia, although the intended audience, artificial intelligence systems, differs.

In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or even decades later.

Melanie Mitchell is an American scientist. She is the Davis Professor of Complexity at the Santa Fe Institute. Her major work has been in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited.

Frames are an artificial intelligence data structure used to divide knowledge into substructures by representing "stereotyped situations".

This is a timeline of artificial intelligence, sometimes alternatively called synthetic intelligence.

The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind is a 2006 book by cognitive scientist Marvin Minsky that elaborates and expands on Minsky's ideas as presented in his earlier book Society of Mind (1986).

Luminoso is a Cambridge, MA-based text analytics and artificial intelligence company. It spun out of the MIT Media Lab and its crowd-sourced Open Mind Common Sense (OMCS) project.

Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. The Semantic Scholar team is actively researching the use of artificial intelligence in natural language processing, machine learning, human–computer interaction, and information retrieval.

A semantic decomposition is an algorithm that breaks down the meanings of phrases or concepts into less complex concepts. The result of a semantic decomposition is a representation of meaning. This representation can be used for tasks, such as those related to artificial intelligence or machine learning. Semantic decomposition is common in natural language processing applications.

References

  1. ↑ Campbell, MacGregor (23 July 2013). "AI scores same as a 4-year-old in verbal IQ test". New Scientist. Retrieved 24 June 2015.
  2. 1 2 Titlow, John Paul (June 2015). "The 100 Most Creative People in Business 2015: Catherine In the 1990s, Havasi invented crowd-sourcing for artificial intelligence (Havasi About). Havasi". Fast Company. Retrieved 20 May 2015.
  3. ↑ "Catherine Havasi". Society for Science. Retrieved 2024-03-20.
  4. 1 2 Havasi, Catherine (9 August 2014). "Who's Doing Common-Sense Reasoning And Why It Matters". TechCrunch. Retrieved 3 March 2015.
  5. 1 2 3 Harris, David (16 October 2014). "40 Under 40: Catherine Havasi of Luminoso". Boston Business Journal. Retrieved 3 March 2015.
  6. 1 2 "Catherine Havasi". Society for Science. Retrieved 2024-03-20.
  7. 1 2 3 Cline, Keith (25 June 2014). "Dr. Catherine Havasi – From the MIT Media Lab to Co-Founder & CEO". Venture Fizz. Archived from the original on 17 August 2018. Retrieved 20 May 2015.
  8. ↑ "Catherine Havasi". Society for Science. Retrieved 2024-03-20.
  9. ↑ "ABOUT". Catherine Havasi. Retrieved 2024-03-20.
  10. ↑ Alba, Davey (12 February 2015). "The Startup That Helps You Analyze Twitter Chatter in Real Time". Wired. Retrieved 3 March 2015.
  11. ↑ Portugal, U. S. Mission (2019-07-11). "Catherine Havasi MIT AI Scientist in Portugal". U.S. Embassy & Consulate in Portugal. Retrieved 2024-03-20.
  12. ↑ "Catherine Havasi". scholar.google. Google Scholar. Retrieved 24 June 2015.
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