Tag: artificial

  • What is a good definition of artificial neural networks?

    What is a good definition of artificial neural networks?

    ANN may be regarded as an alternative to the standard physical models, particularly in cases where the underlying physics of the system is too complex to analyse. In essence, it is a “black box” model, which mimics the information processing functions of the human neural system. ANN accepts any standard input vector and produces the…

  • How can I better understand the Age of Cultured Machines?

    How can I better understand the Age of Cultured Machines?

    Social learning among robots has recently been the focus of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) where they announced a significant breakthrough that robots can learn from one another. It seems that thanks to AI once the robot “knows” how to physically interact with objects, it can begin to learn more…

  • How can farmers leverage to AI to boost yields?

    How can farmers leverage to AI to boost yields?

    If you consider farmers are like data scientists. To make decisions, they ferret out meaning from a sea of data. That data must me correlated to environmental conditions like temperature, rainfall, salinity, nitrogen, pests, commodity prices, and other variables. What that data often shows is trouble: increasingly costly or scarce water supplies, new and more…

  • How can AI transform inspection routines?

    How can AI transform inspection routines?

    Today it is very common that industry players are taking an interest in artificial intelligence. For us AI is one of the major factors that enabled the digital ransformation of our own industry supply chain. We automated, digitalized and set up analytics tools using collected data from the field. These tools are systems, algorithms that…

  • How can AI enable faster and more efficient production?

    How can AI enable faster and more efficient production?

    The most important areas in industry for AI are with complex automation processes and decision-making where much of the work is normally tedious and repetitive, but still requiring a very significant level of judgement. The result is usually a partnership between a humans and the AI, where the final call is still made by engineers.…