Allow me to introduce you to someone who has the potential to be very important in the future of Bitcoin. His name is Balaji Srinivasan, and he is the chairman and co-founder of 21 Inc. What is 21 Inc? 21 Inc. is the Bitcoin startup that secured the most venture capital of any Bitcoin company …
After Bitcoinkiez (which can be translated to ’Bitcoin neighborhood’) in Berlin, Germany is getting its second location dedicated to the world’s most famous cryptocurrency. And this time Hannover is the place of choice.
The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures. Humans are on the verge of evolving from consumers to prosumers, and old, entrenched theories – in particular sociological and economic ones – are falling prey to these rapid developments. The original assumptions on which they are based are being questioned. Each year we produce as much data as in the entire human history - can we possibly create a global crystal ball to predict our future and to optimally govern our world? Do we need wide-scale surveillance to understand and manage the increasingly complex systems we are constructing, or would bottom-up approaches such as self-regulating systems be a better solution to creating a more innovative, more successful, more resilient, and ultimately happier society? Working at the interface of complexity theory, quantitative sociology and Big Data-driven risk and knowledge management, the author advocates the establishment of new participatory systems in our digital society to enhance coordination, reduce conflict and, above all, reduce the “tragedies of the commons,” resulting from the methods now used in political, economic and management decision-making.
Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society Authors: Dirk Helbing ISBN: 978-3-319-15077-2 (Print) 978-3-319-15078-9 (Online)
Latest survey research from Cloud Sherpas has revealed while seven in 10 IT leaders view enterprise cloud software as central to their company’s success, only half have a formal cloud strategy in place.
While expected applications of Modular Robotic Systems (MRS) span various workspaces, scales, and structures, practical implementations of such systems lag behind their potentials in performing real-world tasks. Challenges of enhancing MRS capabilities not only are limited to designing reliable, responsive, and robust hardware, but also include developing software and algorithms that can effectively fulfill tasks through performing fundamental functions like shape-formation, locomotion, manipulation, etc. Thus, MRS solution methods must be able to resolve problems arising from the tightly-coupled kinematics of interconnected modules and their inherent limitations in resources, communication, connection strength, etc. in performing such functions through domain-specific operations including Self-reconfiguration, Flow, Gait, Self-assembly, Self-disassembly, Self-adaptation, Grasping, Collective actuation, and Enveloping. Despite the large number of developed solution methods, there is no inclusive and updated study in the literature dedicated to classifying, analyzing, and comparing their specifications and capabilities in a systematic manner. This paper aims to fill in this gap through reviewing 64 solution methods and algorithms according to their application in each operation and by investigating their capabilities in (1) modeling and simplifying MRS problems through Abstraction methods, (2) solving MRS problems through Solution and Control methods, and (3) coordinating actions of modules through Synchronization methods. Challenging issues of each solution approach along with their advantages and weaknesses are also analyzed and open problems and improvement outlooks are mentioned. Overall, this paper aims to investigate the research areas in MRS algorithms that have been evolved so far and to explore promising research directions for the future.
Modular robotic systems: Methods and algorithms for abstraction, planning, control, and synchronization Hossein Ahmadzadeh, Ellips Masehian
One of the main reasons that the ultra rich have become so enamored with the hedge fund industry over the years is their “go anywhere, do anything” approach to investing. Hedge funds are not regulated ...
Ashby's law of requisite variety states that a controller must have at least as much variety (complexity) as the controlled. Maturana and Varela proposed autopoiesis (self-production) to define living systems. Living systems also require to fulfill the law of requisite variety. A measure of autopoiesis has been proposed as the ratio between the complexity of a system and the complexity of its environment. Self-organization can be used as a concept to guide the design of systems towards higher values of autopoiesis, with the potential of making technology more "living", i.e. adaptive and robust.
Requisite Variety, Autopoiesis, and Self-organization Carlos Gershenson
...Small companies can bolster their business significantly by leveraging this technology properly. Owners who come up with a comprehensive IoT strategy will be well equipped to manage a business in the ever-changing 21stcentury.
According to CMSWire.com, many companies will need to start by updating their IT assets. "Add new devices, connect them to the cloud and enable them to talk to each other."
Businesses must harness the power of technological connectivity in order to serve and understand their customers better.Small businesses should first consider using IoT to collect customer data. The technology allows companies to easily and cost-efficiently collect new data which will offer invaluable insights about ways to improve business or keep up with the competition....
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