Learning Control Systems -Review and Outlook

The basic concept of learning control is introduced. The following four learning schemes are briefly reviewed: (l) trainable controllers using linear classifiers, (2) reinforcement learning control systems, (3) Bayesian estimation, and (J-i) stocha.stic approximation. Potential replications and problems for further research in learning control are outlined

Designing algorithms to aid discovery by chemical robots

Recently, automated robotic systems have become very efficient, thanks to improved coupling between sensor systems and algorithms, of which the latter have been gaining significance thanks to the increase in computing power over the past few decades. However, intelligent automated chemistry platforms for discovery orientated tasks need to be able to cope with the unknown, which is a profoundly hard problem. In this Outlook, we describe how recent advances in the design and application of algorithms, coupled with the increased amount of chemical data available, and automation and control systems may allow more productive chemical research and the development of chemical robots able to target discovery. This is shown through examples of workflow and data processing with automation and control, and through the use of both well-used and cutting-edge algorithms illustrated using recent studies in chemistry. Finally, several algorithms are presented in relation to chemical robots and chemical intelligence for knowledge discovery

Information Outlook, April 2007

Volume 11, Issue 4https://scholarworks.sjsu.edu/sla_io_2007/1003/thumbnail.jp

Information Outlook, December 2006

Volume 10, Issue 12https://scholarworks.sjsu.edu/sla_io_2006/1011/thumbnail.jp

Information Outlook, September 1997

Volume 1, Issue 9https://scholarworks.sjsu.edu/sla_io_1997/1008/thumbnail.jp

Integrating Emerging Areas of Nursing Science into PhD Programs

The Council for the Advancement of Nursing Science aims to “facilitate and recognize life-long nursing science career development” as an important part of its mission. In light of fast-paced advances in science and technology that are inspiring new questions and methods of investigation in the health sciences, the Council for the Advancement of Nursing Science convened the Idea Festival for Nursing Science Education and appointed the Idea Festival Advisory Committee to stimulate dialogue about linking PhD education with a renewed vision for preparation of the next generation of nursing scientists. Building on the 2010 American Association of Colleges of Nursing Position Statement “The Research-Focused Doctoral Program in Nursing: Pathways to Excellence,” Idea Festival Advisory Committee members focused on emerging areas of science and technology that impact the ability of research-focused doctoral programs to prepare graduates for competitive and sustained programs of nursing research using scientific advances in emerging areas of science and technology. The purpose of this article is to describe the educational and scientific contexts for the Idea Festival, which will serve as the foundation for recommendations for incorporating emerging areas of science and technology into research-focused doctoral programs in nursing

Information Outlook, September 2005

Volume 9, Issue 9https://scholarworks.sjsu.edu/sla_io_2005/1008/thumbnail.jp

Information Outlook, October 2003

Volume 7, Issue 10https://scholarworks.sjsu.edu/sla_io_2003/1009/thumbnail.jp