David B. Fogel

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David B. Fogel
BornFebruary 2, 1964
Education University of California, San Diego (Ph.D. in Engineering)
Known forEvolutionary computation, Blondie24 and Blondie25 AI programs, evolutionary algorithms, AI applications in various industries
Notable workBlondie24 (checkers), Blondie25 (chess), evolutionary algorithms in AI applications
AwardsIEEE Fellow (2008), Honorary Doctorate (University of Pretoria, 2008), Evolutionary Computation Pioneer Award (2008), IEEE Kiyo Tomiyasu Award (2004), Computational Intelligence Pioneer Award (2003)
Scientific career
FieldsEvolutionary computation, artificial intelligence, neural networks
Institutions Trials.ai, Natural Selection, Inc., Color Butler, Inc., Effect Technologies, Inc.

David B. Fogel (born February 2, 1964) is a pioneer in evolutionary computation. [1]

Contents

Fogel received his Ph.D. in engineering from the University of California, San Diego in 1992. He is currently Chief Scientist at Trials.ai, [2] and holds other founding positions at Natural Selection, Inc., Color Butler, Inc., and Effect Technologies, Inc., the maker of the patented EffectCheck sentiment analysis software tool. [3] He has advised several AI companies in the areas of B2B lead generation, logistics, and employee retention, as well as other areas.

He received an honorary doctorate for his artificial intelligence research project, Blondie24, in which a deep learning adversarial neural network evolved itself into an expert checkers player. [4] In further research, Fogel's Blondie25 evolutionary chess playing program earned wins over Fritz 8 (the fifth-ranked computer chess program in the world at the time) and was the first machine learning chess program to defeat a nationally ranked human master (James Quon). [5] [6] [7]

Fogel co-founded Natural Selection, Inc. in 1993, and has worked on numerous successful applications of artificial intelligence. He served as Natural Selection, Inc.'s lead consultant for Agouron Pharmaceuticals' AGDOCK (formerly EPDOCK) protein-ligand docking software (1993-1998), [8] was principal investigator on evolutionary neural networks for breast cancer detection (1995-2000), [9] cybersecurity for a federal agency (early 2000s), and lead program manager for Natural Selection, Inc.'s machine learning system for screening food imports for the Food and Drug Administration (FDA) (2003-2008). The latter development was fielded nationwide as part of the FDA's PREDICT screening system and Natural Selection, Inc. received an honor award from the FDA in 2010 for its efforts. [10] The IEEE Computational Intelligence Society recognized Natural Selection, Inc. with its inaugural Outstanding Organization Award in 2011. [11] Fogel also led the development of evolutionary systematic market trading algorithms that were the foundation of Natural Selection Financial, Inc. (NSFIN), a registered investment advisor company, formed in 2006. NSFIN's intellectual property was acquired in 2008 by a hedge fund group.

Fogel's publications have been cited over 30,000 times. His h-index of 63 places him in the top 250 of computer scientists all time by that metric. [12] [13]

Fogel founded the Evolutionary Programming Society in 1991 and served as the founding chairman of the Evolutionary Programming Conference in 1992. [14] He served as chairman again in 1993. The conference ran through 1998, with proceedings published by World Scientific, MIT Press, and Springer, whereupon it merged with the IEEE Conference on Evolutionary Computation and the IEE GALESIA conference to become the Congress on Evolutionary Computation, first held in 1999. (This later became the IEEE Congress on Evolutionary Computation.) In 1996, he was appointed the founding editor-in-chief of the IEEE Transactions on Evolutionary Computation , [15] Following the passing of Prof. Michael Conrad, Fogel became the editor-in-chief of BioSystems in 2000. [16] [17] He also served as general chairman for the 2002 IEEE World Congress on Computational Intelligence. [18] and founded the IEEE Computational Intelligence Society's Symposium Series on Computational Intelligence in 2007. [19] He is the author of 9 books and over 200 publications in evolutionary computing and neural networks. Fogel was president of the IEEE Computational Intelligence Society in 2008–2009. [20] Fogel has given hundreds of public lectures at conferences, museums, and for corporate events regarding diverse aspects of AI, including the prospects of how it will be used to benefit humanity in the future. [21]

In 2017, David Fogel began curating AI, science, and technology news on his website.

Scientific honors

Music

David Fogel is also an award-winning composer, creating the original orchestral score for Path of Totality: Eclipse 2017 [30] (Music: David Fogel, Cinematography: Joe Woolbright, Sound Engineering: Gary Gray, Peter Sprague, and David Fogel), which received a 2018 Telly Award for Use of Music. [31] Fogel released his first jazz EP, "Brighter Nights," on Spotify and other streaming services in 2018. [32] In 2019, Fogel composed the score for Dream of a Childhood Sun, [33] collaborating with Gary Gray (producer), which featured NASA footage of the sun and played in planetariums in the US, receiving a 2019 Telly Award for Use of Music as well as a Davey Award. [34] [35] He also released his first jazz LP, "Back in the Groove," on major streaming services in August 2019. [36] Fogel created a new form of symphonic composition called a "Symphonina," a complete multi-movement symphony performed in about 10 minutes and co-founded the non-profit Symphonina Foundation with Gary Gray to promote symphonic music to younger audiences. [37] Several of his symphonic compositions are available streaming online. [38] [39] [40] [41] [42]

Related Research Articles

In computational intelligence (CI), an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions. Evolution of the population then takes place after the repeated application of the above operators.

<span class="mw-page-title-main">Evolutionary computation</span> Trial and error problem solvers with a metaheuristic or stochastic optimization character

In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms. In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character.

NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm (GA) for the generation of evolving artificial neural networks developed by Kenneth Stanley and Risto Miikkulainen in 2002 while at The University of Texas at Austin. It alters both the weighting parameters and structures of networks, attempting to find a balance between the fitness of evolved solutions and their diversity. It is based on applying three key techniques: tracking genes with history markers to allow crossover among topologies, applying speciation to preserve innovations, and developing topologies incrementally from simple initial structures ("complexifying").

Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology. It relates to connectionism, social behavior, and emergence. Within computer science, bio-inspired computing relates to artificial intelligence and machine learning. Bio-inspired computing is a major subset of natural computation.

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<span class="mw-page-title-main">John Hopfield</span> American scientist (born 1933)

John Joseph Hopfield is an American physicist and emeritus professor of Princeton University, most widely known for his study of associative neural networks in 1982. He is known for the development of the Hopfield network. Previous to its invention, research in artificial intelligence (AI) was in a decay period or AI winter, Hopfield work revitalized large scale interest in this field.

The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.

Blondie24 is an artificial intelligence checkers-playing computer program named after the screen name used by a team led by David B. Fogel. The purpose was to determine the effectiveness of an artificial intelligence checkers-playing computer program.

Dr. Lawrence Jerome Fogel was a pioneer in evolutionary computation and human factors analysis. He is known as the inventor of active noise cancellation and the father of evolutionary programming. His scientific career spanned nearly six decades and included electrical engineering, aerospace engineering, communication theory, human factors research, information processing, cybernetics, biotechnology, artificial intelligence, and computer science.

IEEE Transactions on Evolutionary Computation is a bimonthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers evolutionary computation and related areas including nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined. The editor-in-chief is Carlos A. Coello Coello (CINVESTAV). According to the Journal Citation Reports, the journal has a 2021 impact factor of 16.497.

The IEEE Frank Rosenblatt Award is a Technical Field Award established by the Institute of Electrical and Electronics Engineers Board of Directors in 2004. This award is presented for outstanding contributions to the advancement of the design, practice, techniques, or theory in biologically and linguistically motivated computational paradigms, including neural networks, connectionist systems, evolutionary computation, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained.

<span class="mw-page-title-main">IEEE Kiyo Tomiyasu Award</span>

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Gary Bryce Fogel is an American biologist and computer scientist. He is the Chief Executive Officer of Natural Selection, Inc. He is most known for his applications of computational intelligence and machine learning to bioinformatics, computational biology, and industrial optimization.

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Carlos A. Coello Coello is a Mexican computer scientist, Professor at the UNSW School of Engineering and Information Technology, and researcher at the CINVESTAV. His paper "Evolutionary algorithms for solving multi-objective problems" has been cited over 7,800 times. He won the IEEE Kiyo Tomiyasu Award in 2013.

Soft computing is an umbrella term used to describe types of algorithms that produce approximate solutions to unsolvable high-level problems in computer science. Typically, traditional hard-computing algorithms heavily rely on concrete data and mathematical models to produce solutions to problems. Soft computing was coined in the late 20th century. During this period, revolutionary research in three fields greatly impacted soft computing. Fuzzy logic is a computational paradigm that entertains the uncertainties in data by using levels of truth rather than rigid 0s and 1s in binary. Next, neural networks which are computational models influenced by human brain functions. Finally, evolutionary computation is a term to describe groups of algorithm that mimic natural processes such as evolution and natural selection.

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