US Japan AI Syposium (Computer and Information Science)
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Joyce', 'PO_EMAI': None, 'PO_PHON': None}
This project provides partial funding for a symposium on                    Artificial Intelligence, jointly sponsored by NSF and the Japanese              Institute for New Generation Computer Technology (ICOT).  The                   purpose of the joint symposium is to provide a venue for the                    interchange of new scientific ideas, methods and approaches                     between the researchers from the U.S. and Japan.  The main focus                of the symposium is on artificial intelligence architectures,                   foundational aspects of artificial intelligence, artificial                     languages and methodologies, natural language processing and                    learning, and machine learning and knowledge acquisition.  The 3-               day symposium will be held in Tokyo, Japan, with a fourth day                   scheduled for a visit/tour of the ICOT facility.
{'FirstName': 'Jaime', 'LastName': 'Carbonell', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jaime G Carbonell', 'EmailAddress': 'jgc@cs.cmu.edu', 'NSF_ID': '000094963', 'StartDate': '11/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'PA18', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '6840', 'Text': 'ROBOTICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8800097.xml'}