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Events for November 19, 2015
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Canstruction
Thu, Nov 19, 2015
Viterbi School of Engineering Student Organizations
Student Activity
Help out people in need by donating canned food!! Students and faculty come together for this annual event to collect cans and donate them to the LA Food Bank. On the last day of the drive, we bring all the cans together to make a Canstruction. Collection is from 10/14 - 11/20.
Collection Bin Locations:
ACCT 101 Office
Crocker Library (in HOH)
Popovich Hall Rm 200
Deans Office BRI 100
Advising Office BRI 104Location: Various Locations (look at description)
Audiences: Everyone Is Invited
Contact: USC NOBE
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AI Seminar
Thu, Nov 19, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Ross King and Larisa Soldatova, University of Manchester and University of London
Talk Title: Automating Chemistry and Biology using Robot Scientists and On the representation of research hypotheses
Abstract: Automating Chemistry and Biology using Robot Scientists
Abstract
A Robot Scientist is a physically implemented robotic system that applies techniques from artificial intelligence to execute cycles of automated scientific experimentation. A Robot Scientist can automatically execute cycles of hypothesis formation, selection of efficient experiments to discriminate between hypotheses, execution of experiments using laboratory automation equipment, and analysis of results. The goal is to better understand science, and to make scientific research more efficient. The Robot Scientist Adam was the first machine to autonomously discover novel scientific knowledge. To describe Adam's research we developed an ontology and logical language. More recently we have developed the Robot Scientist Eve to automate and integrate drug discovery: drug screening, hit conformation, and QSAR development. Our focus has been on neglected tropical disease, and Eve has discovered lead compounds for malaria, Chagas, and African sleeping sickness.
Title: On the representation of research hypotheses
Speaker: Dr Larisa Soldatova
Abstract:
Hypotheses are at the heart of scientific research workflows. Many hypotheses are now being automatically produced on an industrial scale by computers, e.g. the annotation of a genome is essentially a large set of hypotheses generated by sequence similarity programs; Robot Scientists enable the full automation of a scientific investigation, including generation and testing of research hypotheses.
In her talk, Larisa will present a logically defined way for recording automatically generated hypotheses in machine amenable way. The proposed formalism allows the description of complete hypotheses sets as specified input and output for scientific investigations. This formalism can also be applied for the representation of hypotheses formulated by human scientists.
Biography: Ross D. King is Professor of Machine Intelligence at the University of Manchester, UK. His main research interests are in the interface between computer science and biology or chemistry. The research achievement he is most proud of is originating the idea of a Robot Scientist using laboratory robotics to physically implement a closed-loop scientific discovery system. His Robot Scientist Adam was the first machine to hypothesize and experimentally confirm scientific knowledge. His new robot Eve is searching for drugs against neglected tropical diseases. His work on this subject has been published in the top scientific journals, Science and Nature, and has received wide publicity. He is also very interested in NP problems, computational economics, and computational aesthetics.
Bio:
Dr Larisa Soldatova is Senior Lecturer in Computing at Brunel University London. Her main research interests are in the knowledge representation, semantic technologies, and logics. Larisa has been involved in the Robot Scientist project for over 10 years. Now she leads a European project AdaLab that aims to develop a framework enabling robotic and human scientists to work together. The results of her work are published in Science, Nature Biotechnology, J. of the Royal Society Interface.
Host: Gully Burns
Location: 11th floor large conference room
Audiences: Everyone Is Invited
Contact: Kary LAU
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CS Colloquium: Heng-Tze Cheng (Google Research) - Sibyl: Google-Scale Machine Learning
Thu, Nov 19, 2015 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Heng-Tze Cheng, Google Research
Talk Title: Sibyl: Google-Scale Machine Learning
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Sibyl is one of the most widely used machine learning and prediction systems at Google, actively used in production in nearly every product area. Designed for the largest datasets at Google, Sibyl scales up to hundreds of billions of training examples and billions of features. Sibyl is used for various prediction tasks ranging from classification, regression, ranking to recommendations. Beyond core learning algorithms and scalable distributed systems, Sibyl contains a suite of data processing, monitoring, analysis, and serving tools, making it a robust and easy-to-use production system.
This lecture will be available to stream HERE.
Biography: Heng-Tze Cheng is currently a senior software engineer on the Sibyl large-scale machine learning team at Google Research. He has developed new search, ranking, and recommendation systems that are widely used across Google products. Heng-Tze received his Ph.D. from Carnegie Mellon University in 2013 and B.S. from National Taiwan University in 2008. His research interests include machine learning, user behavior modeling, and human activity recognition, with over 20 publications and 3 U.S. patents in the related fields.
Host: Yan Liu
Webcast: https://bluejeans.com/467893187Location: Henry Salvatori Computer Science Center (SAL) - 101
WebCast Link: https://bluejeans.com/467893187
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
