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FIU's Department of Electrical and Computer Engineering's Spring 2019 Seminar Series featuring Dr. Ivan K. Schuller

This is a past event.

Tuesday, February 5, 2019 at 11:00am to 12:00pm

EC - Engineering Center, EC 3930
10555 W Flagler ST 33174, Engineering Center, Miami, Florida 33174

Abstract: Data acquisition (sensors) and manipulation (memory, computation, communications, data mining) in its many forms drives and fuels our civilization. Biology has evolved complex intelligent systems that can acquire and manipulate data in a very efficient and comprehensive fashion. On the other hand, scientific and technological developments have led to the invention of highly sophisticated data acquisition and manipulation machines, which have been continuously improving over the last 50 years. Since biological systems can, in many cases, outperform artificial systems a natural question arises. Can biology provide, some high level, guiding principles useful for the development of revolutionary, new concepts for the development of artificial, intelligent systems? An attempt to answer this question is the so-called “Biomorphic Science”, which when applied to computation is denoted as “Neuromorphic Computation”.

I will describe attempts to answer the US White House Nanotechnology-Inspired Grand Challenge for Future Technology: “Create a new type of computer that can proactively interpret and learn from data, solve unfamiliar problems using what it has learned, and operate with the energy efficiency of the human brain”.

Bio: Schuller, a member of the Chilean, Spanish, Colombian and Belgian Academies has won major science and TV prizes including the American Physical Society (Wheatley, Adler), Materials Research Society (Medal, Somiya), Department of Energy (Lawrence), Department of Defense (Vannevar Bush), European (Humboldt and Lise Meitner) and Regional Emmy. His more than 550 papers and 20 patents established the field of metallic superlattices key for the start of Spintronics, determined the structure of YBCO high-temperature superconductor, and established the phenomenology of many hybrid heterostructures.  His recent basic research on the properties of quantum-materials has direct relevance for Neuromorphic Computing and Sensors.  He was recently elected a fellow of the American Academy of Arts and Sciences.

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