Biotech and AI


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Biotech and AI

  1. 1. Javier Gramajo López @jgramajo #avispadospoh #ustbiotechArtificial Intelligence: Biologicalprocess simulation
  2. 2. Agenda Simulation Biological or social behaviors Artificial Intelligence Artificial Life Swarm Intelligence Genetic Algorithms Neural Networks Artificial Brain
  3. 3. Simulation [2]  Imitation of some real thing available, state of affairs, or process.  The act of simulating something generally entails representing certain key characteristics or behaviors of a selected physical or abstract system.[2] Simulation is also used for scientific modeling of natural systems or humansystems in order to gain insight into their functioning.
  4. 4. Biological or social behaviors  Fish bank  Starlings  Humans [1][1] Adam Greenfield acuñó el término everyware para las tecnologías queincorporan computación ubícua, inteligencia ambiental o medios tangibles, 2004.The Dawning Age of Ubiquitous Computing.
  5. 5. Artificial Intelligence [3]  It is the science and engineering of making intelligent machines, especially intelligent computer programs.  It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.[3] WHAT IS ARTIFICIAL INTELLIGENCE? John McCarthy Computer ScienceDepartment November 12, 2007
  6. 6. Artificial Life [4]  Field of study and an associated art form which examine systems related to life, its processes, and its evolution through simulations using computer models, robotics, and biochemistry. ◦ Soft (software) ◦ Hard (hardware) ◦ Wet (biochemistry)[4] The discipline was named by Christopher Langton, an American computerscientist, in 1986. Wikipedia.
  7. 7. Swarm Intelligence (SI) [5]  Is the collective behavior of decentralized, self-organized systems, natural or artificial.[5] The expression was introduced by Gerardo Beni and Jing Wang in 1989, inthe context of cellular robotic systems.
  8. 8. Swarm Algorithms [6]  Ant Colony Optimization (ACO)  Artificial bee colony algorithm  Artificial immune systems[6] The concept is employed in work on artificial intelligence.
  9. 9. Swarm video examples  Ant Colony Optimization (ACO)  Artificial bee colony algorithm  Artificial immune systems  Birds-Blender  Ants-Pheromones  Fish-NN[]
  10. 10. Genetic Algorithms [7]  Simulate processes in natural system necessary for evolution, specifically those that follow the principles proposed by Charles Darwin of survival of the fittest.  They represent an intelligent exploitation of a random search within a defined search space to solve a problem.[7] First pioneered by John Holland in the 60s
  11. 11. Example Genetic Algorithm  Example 1  Example 2  Example 3[]
  12. 12. Neural Networks  The term was traditionally used to refer to a network or circuit of biological neurons.  The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes.  Example[]
  13. 13. The Internet an artificial brain 2019 The future Internet[]
  14. 14. Contact Javier Gramajo López @jgramajo #avispadospoh[]
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