Is anything resembling the Android (for mobile) and the ROS (for robotics) o.s. still needed for legacy and especially new universal testing machines, the likes you use for tensile, compression and a lot more tests of materials? With new and cheap materials being tentatively produced all the time these days, entry level and mid-tier universal testing machines of any form are popping up weekly but software is just... meh.
Content providers show mixed feelings and different opinions about this widespread, well-regarded subscription platform. Any balanced insight from HNers? Thanks.
Happy New Year folks, I am with three youngsters asking me for AI-driven ideas making sense in 2022. I am not sure I can help: big corps are all over industrial applications, and the internet bubble is so crowded they have no statistical chance with recommenders and content projects. Therefore, their best shot may be looking into something that would come good in two, three or even ten years from now. To put my hat into this, I am thinking of NLP and small robotics for hospices and nursing homes: low cost, low risk, high reward, prospective jobs if they can’t make it as entrepreneurs. Any different ideas? Thanks!
