Lyceum Society January 2020
Monday, January 6, 2020
The New York Academy of Sciences, 7 World Trade Center, 250 Greenwich St Fl 40, New York
Established in 1993, The Lyceum Society is comprised of the Academy’s retired and semi-retired Members. These Members are from diverse backgrounds, have different areas of scientific interest and expertise, and have practiced many professions. Their disciplines include Biological and Biomedical Sciences, Chemical and Physical Sciences, Mathematics and Information Sciences, Social Sciences, Engineering, Medicine, Dentistry, and many others.
The Society hosts convivial monthly meetings at the Academy. These meetings feature lectures and discussions with scientists from around the world, and also provide participating Members with the opportunity to give self-directed presentations and seminars based on their own specialties or new research interests. All Academy Members are welcome.
All Lyceum meetings (except December) are Brown Bag lunches.
For more information about the Lyceum Society, click here.
January 06, 2020
Brown Bag Lunch
Metaknowledge of Ignorance and Knowledge Outlined and Applied
The natural world is incomprehensibly complex. Our knowledge about it is but islands in an ocean of ignorance. I will present a two-step outline of the metaknowledge of the ignorance and knowledge about the natural world:a] The evolution of the natural structures and processes that function to produce knowledge via data analysis, to store and process knowledge. b] The evolution-produced limits on the knowledge of nature. I will present two applications of metaknowledge: a] The omics of biology offers concepts, as genome and proteome, for mapping complex knowledge. Omics may be applied as well to ignorance, science in general, and science history (sensome, analysome, samplome). b] A future mature technoscience will incorporate metaknowledge and expand technoscience’s political applications.
The Six Waves of Artificial Intelligence
Artificial Intelligence and Robotics technologies have been making grand strides over the past few years, outperforming humans in tasks once thought to be impossible to automate. Machines can now recognize images, interpret audio and understand language with unprecedented reliability. Cars can drive themselves. But where will this technology go next, and how far can it reach?
This talk will explain what is Artificial Intelligence in simple terms, how it works, what it can and cannot do. We will discuss how to develop an AI strategy in your organization and how to identify new opportunities. Finally we will look at what is driving the technology and try to predict its future.