Patreon: Email: Twitter: The evolution of AI technology illustrates an opaque destiny for mankind, a prophecy of a forthcoming future clouded in obscurity and peered into by very few seers delicately ranging from the giants of the tech industry, to academic heavyweights. The possibilities of a world inundated, or potentially governed by AI looms large. As we all know at this point, it is no longer a matter of how, rather a question of when. A query into how advanced the AI’s could become is actually a far more complex enigma when probing for these answers, oddly it may not actually be up to our species volition on how intelligent the AI become. A Seed AI, a term coined by Eliezer Yudkowsky an AI researcher, is a term to describe artificial intelligence that becomes generalized over many domains rather than one simple domain like self-driving cars, it has the ability to improve itself, by recursively rewriting its own source code without human intervention. Initially, this program would likely have a minimal intelligence, but over the course of many iterations, it would evolve to human-equivalent or even trans-human reasoning, or what theorist call artificial superintelligence the limits of which are unknown. This all may sound like science fiction, but recently the Boston based startup Gamalon utilized probabilistic programming to create an AI that can write and rewrite its own code, ultimately allowing the AI to increase its own intelligence. Although this self-escalation of intelligence is narrowed down to [More]
This video demostrates the creation of of Topic(workflow) in Virtual Agent Designer. As well as, explanation of the Designer tools and utilities. For activating and basic overview of Virtual Agent please refer below link:
The full automated Toolchain from 360° Camera to simulation for digital twin generation The use of a digital twin in the production process will be used, for example, for proactive planning, analysis of existing systems or process-parallel monitoring. Many companies, especially small and medium-sized enterprises, use the technology incorrectly or not. From your point of view, the generation of a digital twin is cost-, time- and resource-intensive. With our approach, these obstacles can be overcome quickly and easily, and the production layout and production logic (e.g. machine types, etc.) can be captured with a 360° Camera. The identification of CAD models and the transfer of geometric and other object data (e.g. machine types) from a reference library significantly reduces the recording of production. With the recognized machines, their properties are also known. With the comparison of the future production program, any simulation of the production can be created. Especially in the planning phase for investments, well-founded results based on a simulation model are indispensable for a target-oriented decision in today’s world. In the presentation we will show you the procedure from scanning, object recognition to simulation and its challenges out of the way.