What is Artificial Intelligence and Machine Learning in Amateur Radio - Michelle Thompson, W5NYV

Artificial Intelligence and Machine Learning are all over the news, taking over academia, getting billions of dollars of commercial investment, and will change both computer networking and wireless communications in fundamental ways.

What does the future of amateur radio look like when radios use machine learning to operate? How does our relationship to the bands change with cognitive radio? Where are we in this transformation? What will happen next?

[aquahoodjd]

We have now SIG53 and their pre-trained models been used?

[aquahoodjd]

How are they being implemented? What model or for what software exists.

[ferdinandfrozenstein]

Having a smart raduo that itself picks the right modulation/bandwidth and band instead of me, having me just to click a callsign in a list?? Seriously? What's then appealing about such sport? What about having a smart e-bike that you just sit on and tell it where to go and then just enjoy the ride? Is that still bicycling? Although current FT8 usage is half the way to this mentioned AI "operating style" and it's popular, maybe that's what I dislike the most on it, falling back to CW more and more these days!

The goal of casual communication, including military, is to have the connection as stable as possible and as reliable as possible and any time you want. This is not what Amateur Radio is about! We have phones for this. If we convert HAM radio to this, it will lose almost everything that's appealing about it and I'll find a new hobby.