Xerox PARC Forum: AI and Robotics at an Inflection Point

Self-Aware Systems

On September 18, 2014 Steve Omohundro gave the Xerox PARC Forum on “AI and Robotics at an Inflection Point”. Here’s a PDF file of the slides.

AI and Robotics at an Inflection Point
PARC Forum

18 September 2014
5:00-6:30pm (5:00-6:00 presentation and Q&A, followed by networking until 6:30)
George E. Pake Auditorium, PARC

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Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating “arms races” in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial “rational drives” of self-preservation, resource acquisition, replication, and self-improvement that…

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Will the default mode network (DMN) be the functional explanation for continuity of identity in the brain?

Answer by Armando Vieira:

Very interesting. Any study on how to use this paradigm in Artificial Intelligence? This field is obsessed with seeing the brain as an engineering problem: input->representation->output which I think is fundamentally wrong.

Will the default mode network (DMN) be the functional explanation for continuity of identity in the brain?

Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism

Guided self-organization can be regarded as a paradigm proposed to understand how to guide a self-organizing system towards desirable behaviors, while maintaining its non-deterministic dynamics with emergent features. It is, however, not a trivial problem to guide the self-organizing behavior of physically embodied systems like robots, as the behavioral dynamics are results of interactions among their controller, mechanical dynamics of the body, and the environment. This paper presents a guided self-organization approach for dynamic robots based on a coupling between the system mechanical dynamics with an internal control structure known as the attractor selection mechanism. The mechanism enables the robot to gracefully shift between random and deterministic behaviors, represented by a number of attractors, depending on internally generated stochastic perturbation and sensory input. The robot used in this paper is a simulated curved beam hopping robot: a system with a variety of mechanical dynamics which depends on its actuation frequencies. Despite the simplicity of the approach, it will be shown how the approach regulates the probability of the robot to reach a goal through the interplay among the sensory input, the level of inherent stochastic perturbation, i.e., noise, and the mechanical dynamics.

Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism
Surya G. Nurzaman , Xiaoxiang Yu, Yongjae Kim and Fumiya Iida

Entropy 2014, 16(5), 2592-2610

Photonic crystals increase solar efficiency

Here it is a Post about my original Technological & Scientific field of Study and Training: Photonics and Optoelectronics. One of most exciting applications in these fields concerns Solar Photovoltaic Cells, its role in Renewable Energy Solutions being crucial. This Video is from Sajeev John, a University Professor at the University of Toronto Canada:

 

 

 

His groundbreaking work in the field of light localization that enables light to be controlled at the microscopic level has earned him an international reputation. He is a pioneering theoretician in photonic band gap (PBG) materials. This new class of optical materials presents exciting possibilities in the fields of physics, chemistry, engineering and medicine. PBG materials could eventually be used for optical communications/information processing, clinical medicine, lighting and solar energy harvesting.