I remember taking an graduate-level Adaptive Filters class in 2001. I was totally lost but managed to make a filter that removed the noise from audio and then I could hear the signal (aka the message was buried in the noise) using Matlab. I often wondered how anyone could make a real application using neural networks.
In Italy, where I come from, this is a topic that often comes up: we are inundated with information about the potential of AI but we have no idea what it means to implement it, and managers, especially of small and medium-sized businesses, are often confused and disoriented. I think that these issues, short and straight to the point but at the same time structured in focal points on the topic, are not only interesting to read but also very applicable in everyday reasoning.
I remember taking an graduate-level Adaptive Filters class in 2001. I was totally lost but managed to make a filter that removed the noise from audio and then I could hear the signal (aka the message was buried in the noise) using Matlab. I often wondered how anyone could make a real application using neural networks.
Thanks for sharing!
This is very practical and a clear guide for any company who wants to integrate their workflow with AI and LLMs. Thanks for the examples as well.
In Italy, where I come from, this is a topic that often comes up: we are inundated with information about the potential of AI but we have no idea what it means to implement it, and managers, especially of small and medium-sized businesses, are often confused and disoriented. I think that these issues, short and straight to the point but at the same time structured in focal points on the topic, are not only interesting to read but also very applicable in everyday reasoning.