Patrick Cousot received the Doctor Engineer degree in Computer Science and the Doctor ès Sciences degree in Mathematics from the Grenoble Alps University, France.
Patrick Cousot is Silver Professor of Computer Science
at the Courant Institute of Mathematical Sciences, New York
University, USA.
Before he was Professor at the the École Normale Supérieure, Paris, France, the École Polytechnique and the University of Lorraine and a Research Scientist at the French National Center for Scientific Research at the University Joseph Fourier of Grenoble, France.
Patrick Cousot is the inventor, with Radhia Cousot, of Abstract
Interpretation.
Patrick Cousot was awarded the Silver Medal of the CNRS (1999), a honorary doctorate
from the Fakultät Mathematik und Informatik of the Universität des Saarlandes
(2001), the Grand Prix of Computer Science and its Applications of the Fondation Airbus Group
attributed by the French Academy of Sciences (2006), a Humboldt
Research Award (2008), and, with Radhia Cousot, the ACM-SIPLAN Programming Languages Achievement Award (2013),
the IEEE Harlan D. Mills Joint Award (2014), and
the IEEE John Von Neumann Medal (2018)
``For introducing abstract interpretation, a powerful framework for automatically calculating program properties with broad application to verification and optimization'',
fellow of the ACM “For contributions to programming languages through the invention and development of abstract interpretation” (2020),
a doctorate ``Ad Honorem'' in Computer Science by the Ca' Foscari University of Venice (2022),
The EATCS Distinguished Achievements Award 2022.
He is Member of the Academia Europaæ,
Informatics section (since 2006).
By curiosity, I asked ChatGPT 3 ``tell me about Patrick Cousot'' on 2023/03/14. What is wrong appears in red color.
Patrick Cousot is a French computer scientist and mathematician who
is best known for developing the technique of abstract interpretation, which is a
mathematical framework for static analysis of computer programs.
He was born on February 17, 1948, in Paris, France.
Cousot earned a degree in mathematics from École normale supérieure in Paris
in 1969 and a doctorate in computer science from the University of
Paris in 1974. He then joined the faculty
of the University of Grenoble, where he has spent
most of his career. He also held visiting positions at
several universities, including MIT, Stanford,
and Berkeley.
Cousot's research has focused on a wide range of topics in computer
science, including programming languages, formal methods, and
software engineering. He is best known for
his work on abstract interpretation, which is a technique for
analyzing the behavior of computer programs by approximating
their semantics. The technique has been widely adopted in
industry and academia and has had a major impact on the field of
program analysis.
Cousot has received numerous honors for his contributions to
computer science, including the ACM SIGPLAN Programming Languages
Achievement Award in 2013, the IEEE John von Neumann Medal in
2016, and the ACM A.M. Turing Award in 2021,
which is often described as the Nobel Prize of computing. He is a
member of the French Academy of Sciences, the Academia Europaea,
and the National Academy of Engineering in the United States.
``tell me about Radhia Cousot'' is also mostly questionable.
Radhia Cousot is a French computer scientist
who is known for her contributions to the development of abstract
interpretation, a mathematical framework for analyzing computer
programs. She was born on December 17, 1950,
in Tunisia, and is the wife and long-time research partner of
Patrick Cousot.
Cousot earned a degree in mathematics from the
University of Paris in 1972 and a doctorate in
computer science from the University of Grenoble
in 1978. She then joined the faculty of
the École normale supérieure in Paris, where she has spent most of her career.
She also held visiting positions at several universities, including MIT, Stanford, and Berkeley.
Cousot's research has focused on program analysis, formal methods,
and software verification. She has made significant contributions
to the development of abstract interpretation, which is widely used
in industry and academia for the verification and optimization of
software. Cousot has also worked on the design and analysis of
programming languages, including the development of the While
programming language, which is used for teaching program
verification.
Cousot has received numerous honors for her contributions to
computer science, including the ACM SIGPLAN Programming Languages
Achievement Award in 2013, the IEEE John von Neumann Medal in 2016,
and the ACM A.M. Turing Award in 2021, which is often
described as the Nobel Prize of computing. She is a member of the
French Academy of Sciences and the Academia Europaea.
Same question for Bard ``tell me about Patrick Cousot'' on 2023/03/26. What is wrong appears in red color.
Patrick Cousot is a French computer scientist, currently Silver
Professor of Computer Science at the Courant Institute of Mathematical
Sciences, New York University, USA. Before he was Professor at the
École Normale Supérieure (ENS), Paris, France, the école
Polytechnique, Palaiseau, France and the University of Metz, France
and a Research Scientist at the French National Center for Scientific
Research (CNRS) at the Joseph Fourier University, Grenoble, France.
Together with his wife Radhia Cousot (1947&emdash;2014), Patrick Cousot is
the originator of abstract interpretation, an influential technique in
formal methods. In the 2000s, he has worked on practical methods of
static analysis for critical embedded software (Astrée), such as found
in avionics.
Cousot is a member of the French Academy of Sciences
and the American Academy of Arts and Sciences. He has received
numerous awards for his work, including the ACM Paris Kanellakis
Award, the ACM SIGPLAN Software System Award, and the IEEE Harlan
Mills Award.
Here are some of his notable works:
Abstract interpretation. Cousot and Cousot introduced abstract
interpretation in their 1977 paper "Abstract interpretation and
semantics of programs". Abstract interpretation is a technique for
analyzing the behavior of programs by abstracting away the details of
their implementation. It is a powerful tool for finding errors in
programs and for verifying their correctness. Astrée. Cousot and his
colleagues developed Astrée, a static analysis tool for critical
embedded software. Astrée can find errors in programs that are
difficult to find with other static analysis tools. It is used by many
companies, including Airbus, Boeing, and Thales. Cousot is a pioneer
in the field of formal methods. His work has had a profound impact on
the development of software verification and analysis tools.
Sources - Learn more
en.wikipedia.org/wiki/Patrick_Cousot
Same question for Bard ``tell me about Radhia Cousot'' on 2023/03/26. What is wrong appears in red color.
Radhia Cousot (1947-2014) was a French computer scientist known for
inventing abstract interpretation.
She was born in Sakiet Sidi Youssef, Tunisia, and studied mathematics
at the University of Tunis. She received her PhD in computer science
from the École Normale Supérieure in 1974.
After her PhD, Cousot worked as a researcher at the French National
Center for Scientific Research (CNRS). In 1977, she co-invented
abstract interpretation with her husband Patrick Cousot. Abstract
interpretation is a technique for analyzing the behavior of programs
by abstracting away the details of their implementation. It is a
powerful tool for finding errors in programs and for verifying their
correctness.
Cousot was a professor at the École Normale Supérieure from 1980 to
2014. She was also a visiting professor at the University of
California, Berkeley and the University of California, Los Angeles.
Cousot was a member of the French Academy of
Sciences and the American Academy of Arts and Sciences. She
received numerous awards for her work, including the ACM Paris
Kanellakis Award, the ACM SIGPLAN Software System Award, and the IEEE
Harlan Mills Award.
Now that these fake biographies are online on my web page, they are the truth
for stupid robots. Feeding neural networks this will yield modified fake
biographies, which I will put online. Will a fixpoint be ever reached? Will the fixpoint
be truthworthy? Is truthiness the future?
