Conférence Pr Osvaldo OLIVEIRA - 15 janvier 2018
Machine learning and the ensuing fabrication of smart machines are bound to revolutionize science and technology, and society as a whole. One may even anticipate a paradigm shift in creating knowledge since for the first time in history knowledge might be generated without human intervention. Such ambitious endeavors are expected to result from a convergence of two movements: on one hand, Big Data methodologies are increasingly used to transform vast amounts of information into knowledge; on the other hand, computational systems are being trained to “read” text in natural language. In this lecture, examples will be given of the importance of materials sciences in building devices that generate data, where the specific case of a computer-assisted diagnosis system will be employed as an illustration. With regard to machine learning, a discussion will be presented with some of its many uses for materials discovery, while emphasis will be placed in correlating data from an electronic tongue to the perception of taste by humans.
Osvaldo N. Oliveira Jr. is a professor at the University of São Paulo, Brazil, who earned a PhD from University of Wales, Bangor. Prof. Oliveira has pioneered the combined use of methods from distinct fields of science, with the merge of methods of statistical physics and computer science to process text, and use of information visualization to enhance the performance of sensing and biosensing. This pioneering work is associated with the merge of nanotechnology with Big Data Analytics, bound to yield developments in technology such as computer-aided diagnosis systems. Prof. Oliveira is the president of the Brazilian Materials Research Society and an associate editor of ACS Applied Materials & Interfaces. In 2006 he was awarded the Scopus Prize, given to 16 Brazilian researchers considered the most productive in terms of papers published and citations.