Recent developments in advanced robotics & intelligent systems

Author(s):  
J. Gray
2021 ◽  
pp. 630-648
Author(s):  
Lior Tabansky

The long-standing pillars in the grand strategy of Israel—namely, the qualitative edge principle and self-reliance in defence—enabled considerable cybersecurity achievements. Israel, the sole developed nation facing existential threats, has carried out audacious cyberspace operations yet never suffered material damage from cyberattacks. ‘Made in Israel’ inventions have long been embedded in building blocks of the global digital technologies, and drive much of the economic boom. As high-technology innovation flourishes, strategic choices taken over many decades created the foundations of Israel’s vibrant innovation ecosystem. Power, the currency of international relations, undergoes technology-driven change. Innovation capacity grows in importance in periods of profound change. Cyber power must be smart, integrating hard and soft power. The official Israel now shares sensitive cybersecurity expertise with foreign stakeholders, aiming to advance a range of foreign policy goals from counterterrorism to sustainable development. The milestones in Israel’s national cybersecurity evolution include the 2002 state-guided Critical Infrastructure Protection (CIP); the 2011 official national cybersecurity strategy with ambitious goals and comprehensive scope; and the most recent developments in the Israel National Cyber Directorate (INCD) and the Israel Defence Forces (IDF). However, Israel’s cybersecurity journey is far from complete. Harnessing digital transformation, in particular narrow artificial intelligence and intelligent systems, requires further profound innovation in national security. This chapter outlines four guiding principles and forces shaping Israel’s cybersecurity, and sketches three long-term policy challenges for Israel. As long as a coherent strategy guides innovation, Israel as well as other small nations can gain and utilize ample cyber power.


Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 788 ◽  
Author(s):  
Kan Shoji ◽  
Ryuji Kawano

A molecular robot is a microorganism-imitating micro robot that is designed from the molecular level and constructed by bottom-up approaches. As with conventional robots, molecular robots consist of three essential robotics elements: control of intelligent systems, sensors, and actuators, all integrated into a single micro compartment. Due to recent developments in microfluidic technologies, DNA nanotechnologies, synthetic biology, and molecular engineering, these individual parts have been developed, with the final picture beginning to come together. In this review, we describe recent developments of these sensors, actuators, and intelligence systems that can be applied to liposome-based molecular robots. First, we explain liposome generation for the compartments of molecular robots. Next, we discuss the emergence of robotics functions by using and functionalizing liposomal membranes. Then, we discuss actuators and intelligence via the encapsulation of chemicals into liposomes. Finally, the future vision and the challenges of molecular robots are described.


AI Magazine ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 25-36 ◽  
Author(s):  
Katie Atkinson ◽  
Pietro Baroni ◽  
Massimiliano Giacomin ◽  
Anthony Hunter ◽  
Henry Prakken ◽  
...  

The field of computational models of argument is emerging as an important aspect of artificial intelligence research. The reason for this is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent information in a way that somehow emulates the way humans tackle such a complex task. And one of the key ways that humans do this is to use argumentation either internally, by evaluating arguments and counterarguments‚ or externally, by for instance entering into a discussion or debate where arguments are exchanged. As we report in this review, recent developments in the field are leading to technology for artificial argumentation, in the legal, medical, and e-government domains, and interesting tools for argument mining, for debating technologies, and for argumentation solvers are emerging.


1997 ◽  
Vol 06 (03) ◽  
pp. 365-395 ◽  
Author(s):  
Lefteri H. Tsoukalas

Anticipatory systems are systems whose change of state is based on information about present as well as future states. Planning and acting on the basis of anticipations of the future is an omnipresent feature of human control strategies, deeply permeating our daily experience and considered as the hallmark of natural intelligence. Yet, as the eminent mathematical biologist Robert Rosen has pointed out in his book Anticipatory Systems (1985), such control strategies are curiously absent from existing formal approaches to automatic control and decision-making processes. Recent developments in biology, ethology and cognitive sciences, however, as well as advancements in the technology of computer-based predictive models, compel us to reconsider the role of anticipation in intelligent systems and to the extent possible incorporate it in our formal approaches to control. Significant improvements in neural predictive computing when combined with the flexibility of fuzzy systems, supports the development of neurofuzzy anticipatory control architectures that integrate planning and control sequencing functions with feedback control algorithms. A review of the role of anticipation in intelligent systems and a new approach for neurofuzzy anticipatory control using radial basis neural predictive models and fuzzy if/then rules is presented.


When internet is overwhelmed with infinite options then you need intelligent program like recommendation system to help you dug out and prioritize relevant facts. Everyone is confronted with information flood phenomena and the recommendation engine alleviate Information flood on internet. Personalizing information, to each individual is the solution of information flood, is performed by these intelligent systems through searching web. Texts here trace out diverse characteristics concerned with recommendation system and highlight possible recommendation-methodologies capacity in this arena


The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. This has given rise to machine learning, intelligent systems, and robotics. Robots and AI might right now still seem the reserve of blockbuster science fiction movies and documentaries, but it's no doubt the world is changing. This chapter explores the origins, attitudes, and perceptions of robotics and the multiple types of robots that exist today. Perhaps most importantly, it focuses on ethical and societal concerns over the question: Are we heading for a brave new world or a science fiction horror-show where AI and robots displace or, perhaps more worryingly, replace humans?


2020 ◽  
Vol 32 (1) ◽  
pp. 17-38
Author(s):  
Daniel Topf ◽  

This essay explores recent developments surrounding the Fourth Industrial Revolution, particularly as they relate to the challenge of technological unemployment. In an age of advanced robotics and artificial intelligence (Al), so warns the philosopher-historian Yuval Noah Harari, ordinary people may become unemployable, unable to contribute to society, and therefore be declared a “useless class.” In contrast to such a dystopian view, futurists like Ray Kurzweil and Nick Bostrom envision a digital utopia, while more realistic optimists emphasize that Al will ultimately create more jobs than it destroys. As an alternative to these perspectives, this essay proposes a Judeo- Christian approach that, independently of traditional frameworks of paid work, affirms the unique value and dignity of all human beings by highlighting the theological significance of human creativity, the balance between work and play, love as an overarching framework for life, and the role of human beings as ethical decision-makers.


Author(s):  
Sangho Park ◽  
Henry Kautz

The improvement of energy efficiency in our society has become an urgent issue for sustainability under global warming. The authors present research issues on sensor-based smart environments for energy-aware intelligence, and showcase a study of algorithms for monitoring human activities that provides the context awareness to the smart environments. In order to build energy-aware environments, it is desirable to embed intelligence into the environment itself so that the environment can interpret human behavior in order to adjust itself to human activities occurring in the environment. This is achievable by integrating the environment and the intelligent computing facilities. The computing facility embedded in the environment is equipped with intelligent algorithms that can monitor salient features indicative of the events and learn and recognize changes in the environment. Recent developments in sensor-based intelligent systems can provide suitable algorithms and facilities for building such energy-aware smart environments. The authors present a framework for monitoring human activities in daily living toward the energy-aware intelligence that can detect and learn inhabitants’ behavior patterns in the smart environment.


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