On the Path to Non-Biological Sentience
At Kindred our mission is to create human-like intelligence in machines, and our core hypothesis is that intelligence requires a body. We build robotic bodies of many different form factors and imbue them with new types of AI minds inspired by biological creatures’ brains. We pre-train these algorithms by demonstration, using large amounts of data from human operators, and craft reward functions such that the entities can subsequently become fully autonomous agents. Breakthroughs in robotics, increases in computational power, and advancements in machine learning algorithms are finally enabling us to train AI minds to have a more “general” form of intelligence. This presentation will describe our technology and address some of the questions that might arise as we begin to share our world with increasingly smarter robots.
Suzanne is co-founder and CSO of Kindred. She oversees the design and engineering of the company's human-like robots and is responsible for the development of cognitive architectures that allow these robots to learn about themselves and their environments. Before founding Kindred, Suzanne worked as a physicist at D-Wave, designing and building superconducting quantum processors, and as a researcher in quantum artificial intelligence software applications. Suzanne likes science outreach, retro tech art, coffee, cats, electronic music and extreme lifelogging. She is a published author of a book of art and poetry. She is passionate about robots and their role as a new form of symbiotic life in our society. Suzanne received her Ph.D. in experimental physics from the University of Birmingham (UK) in 2008, specializing in quantum device physics, microfabrication techniques, and low-temperature measurements of novel superconducting circuits.