Codifying human beings and increasing the processing capacity of computers has made it possible to create machines that can respond to our actions.
sandra alvaro's insight:
Codifying human beings into data and increasing the processing capacity of computers has made it possible to create environments and machines that can adapt and respond to our actions. This interaction is facilitated by information processing, which has evolved from projecting our body and movements into a virtual environment to creating electromechanical prostheses and reactive environments. These simulations of the human being have given rise to autonomous systems capable of perceiving their surroundings in order to adapt and act accordingly. Today robots are driven by artificial intelligence which, fed with the data storm we have generated, could escape our control and reach beyond the limits of humankind
Now that building information modeling (BIM) has been firmly established in the AEC industry for the design, construction, and operation of individual buildings, and infrastructure modeling (also referred to as “BIM for infrastructure”) is starting to gain some traction for the design, construction, and operation of infrastructure (see the AECbytes archived article, “Extending BIM to Infrastructure”), we are also seeing some movement towards applying the intelligent modeling concept to the next broader level of human habitation, the city. While there is no agreed-upon terminology yet to refer to the concept of modeling cities, we will refer to it here as “city information modeling” or CIM.
Bottom line: Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production. Machine learning’s core technologies align well with the complex problems manufacturers face daily. From striving to keep supply chains operating efficiently to producing customized, built- to-order products [...]
"Computers have already beaten us at chess, Jeopardy and Go, the ancient board game from Asia. And now, in the raging war with machines, human beings have lost yet another battle — over typing.
Turns out voice recognition software has improved to the point where it is significantly faster and more accurate at producing text on a mobile device than we are at typing on its keyboard. That's according to a new study by Stanford University, the University of Washington and Baidu, the Chinese Internet giant. The study ran tests in English and Mandarin Chinese."
We propose a game in which everal authors express in a succinct way what they imagine about this new world of billions of interconnected objects.
sandra alvaro's insight:
The Internet of Things (IoT) is for many the next stage of the Internet. An emerging ecosystem where more things or objects will be connected to the Internet than people, which should allow surprising advances in a significant number of fields. Its characteristics and its impact on social, economic, political and cultural development make it an ideal subject for starting the new phase of our blog. We asked a series of collaborators to give us their free vision of the IOT, proposing a game in which each could express in a succinct way what they imagine about this new world of billions of interconnected objects. Here is the result. We hope that you will enjoy it with curiosity and humour
IBM is doubling down its investment in Watson by adding the power of cognitive computing to its IoT platform. With this combination, customers will get best of both worlds – connected devices and artificial intelligence. To fuel the research and development in this area, IBM has announced that it is [...]
OSoMe (awe•some) highlights the results of a broad research project aimed to study information diffusion in social media. Use our tools to explore how people spread ideas through online social networks.
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