Submitted by Exponential Times on Thu, 2014-05-08 05:25
Advancements in the field of artificial intelligence are exciting, and they could make the world a better place. However, not everyone agrees with that. Tara discusses a recent article published by Stephen Hawking saying that AI could lead to the downfall of humanity.
Stephen Hawking: 'Transcendence looks at the implications of artificial intelligence - but are we taking AI seriously enough?' http://www.independent.co.uk/news/sci...
"Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks, says a group of leading scientists."
Submitted by Exponential Times on Sun, 2014-03-16 11:10
Dr. Robert Darnell, President, CEO & Scientific Director of the New York Genome Center, explains the goals of the collaboration with IBM to harness IBM Watson cognitive computing to help doctors treat cancer patients--a step toward personalized medicine.
Submitted by Exponential Times on Fri, 2014-03-07 08:49
In this lecture, Professor Liu presents a novel research theory that he and his team have developed, an approximate reasoning based computational framework. The theory has been used on four applications, two of which are discussed; the manipulation of prosthetic limbs and the analysis of human body motion through CCTV cameras. This theory overcomes both practical and theoretical research constraints and provides a solution to one of the problems in intelligent systems. Professor Liu has research interests in machine intelligence, multi-sensor fusion, fuzzy and qualitative reasoning, knowledge representation, motion planning, robotic systems and web-based systems. His research have been funded by a range of funding bodies including the Engineering and Physical Sciences Research Council (EPSRC).
Submitted by Exponential Times on Tue, 2014-03-04 08:04
This is the video recording of my presentation at the 2014 Podcamp Toronto.
This year I decided that it is best not to speak about podcasting but rather focus on issues familiar to readers of Singularity Weblog -- artificial intelligence, transhumanism and the technological singularity.
The session was intended to provide a brief introduction of the issues and to engage a broader audience of people who are generally not familiar with the topic.
Submitted by Exponential Times on Mon, 2014-03-03 05:04
Artificial intelligence in the future might replace professionals, as technology could automate the procedures which workers currently follow. Graeme Codrington gives his view in this TV show.
Artificial intelligence in the future - The GP
Computers are already approving financial transactions, controlling electrical supplies, and driving trains. Soon, service robots will be taking care of the elderly in their homes, and military robots will have their own targeting and firing protocols. Colin Allen and Wendell Wallach argue that as robots take on more and more responsibility, they must be programmed with moral decision-making abilities, for our own safety. Taking a fast paced tour through the latest thinking about philosophical ethics and artificial intelligence, the authors argue that even if full moral agency for machines is a long way off, it is already necessary to start building a kind of functional morality, in which artificial moral agents have some basic ethical sensitivity. But the standard ethical theories don't seem adequate, and more socially engaged and engaging robots will be needed. As the authors show, the quest to build machines that are capable of telling right from wrong has begun.
Moral Machines is the first book to examine the challenge of building artificial moral agents, probing deeply into the nature of human decision making and ethics.
One goal of researchers in neuroscience, psychology, and artificial intelligence is to build theoretical models that are able to explain the flexibility and adaptiveness of biological systems. How to build a brain provides a detailed guided exploration of a new cognitive architecture that takes biological detail seriously, while addressing cognitive phenomena. The Semantic Pointer Architecture (SPA) introduced in this book provides a set of tools for constructing a wide range of biologically constrained perceptual, cognitive, and motor models.
Examples of such models are provided, and they are shown to explain a wide range of data including single cell recordings, neural population activity, reaction times, error rates, choice behavior, and fMRI signals. Each of these models introduces a major feature of biological cognition addressed in the book, including semantics, syntax, control, learning, and memory. These models are not introduced as independent considerations of brain function, but instead integrated to give rise to what is currently the world's largest functional brain model.
Chris Eliasmith is currently the director of "Centre for Theoretical Neuroscience (CTN)". The Centre is a focal point for researchers across faculties (math, engineering, arts, science) interested in computational and theoretical models of neural systems.