We will investigate the conceptual foundations of the backward induction algorithm -- this is the algorithm that is the foundation of all chess-playing programs, such as Deep Blue. What's interesting is that we can't see these foundations at the beginning. They are not so easy to identify.
Jerry Eastwood saw the light of this earth 60 years ago, when he was born in Rome, Italy, in 1940, to a well-to-do Roman catholic family. Ten years later his family moved to the US, and settled in Atlanta. While his parents were very poor, they gave their two sons a good education. Eastwood got his bachelors degree in City College of Georgia in 1960, and he received his Ph.D. in physics from Stanford in 1965.
He joined the department of physics at Columbia University of NYC in 1966, and has been there for over 40 years.
Eastwood has authored over 65 scientific papers and has published 9 book. He is a visiting professor at Washington University in Saint Louis, Harvard, UCLA, Duke, Stanford, and UCSF. Some of his memberships include the Israel Academy of Sciences, the German Academy of Arts and Sciences, Italy Academy. He has been awarded honorary doctorates from the Universities of Louisville, Athens , London, City University of Atlanta, and the University of Rome.
Eastwood is married to Lilly, and they have 3 children.
Scientists want to understand how the information is processed inside cells and how cells respond to this information. Of course, gene transcription is at the core of information process. This is the initial event in the process of protein creation. The regulation of transcription determines the cell's ability to function. It influences its overall fate. The genome has the information for the genetic blueprint. But lately, we have evidence that information passes also from one cell to another in ways different than the DNA sequence. One of these ways is chromatin, the basic unit of which is the nucleosome. Chromosomes consist of this protein-DNA complex that we call chromatin.
What exactly does chromatin encode? How is its information preserved and passed down to new cells? My goal with this lecture is to give you a summary of the field and mention the latest research that has at least partially answered these questions.
Nick Frick works at Carnegie Mellon University as a professor. With also collaborates with the School of Computer Science at the University of Manchester in the UK. He holds a PhD from MIT since 1998. He did his post-doctoral fellowship for 6 years at the department of Computer Science in Illinois. He is known for his research in Artificial Intelligence, with a focus on understanding Graphical Probabilistic Models.