Why do people always think its the killing? Almost every vegan/vegetarian has most of their issues with how its raised and treated its whole life. The constant meat eater trolling about how its natural to eat meat and animals do it, ignore the fact that its not natural to keep animals in pens where they cant turn around for their entire life that is basically pure torture from birth to death.
If all meat was produced the way it was farmed 100 years ago, youd see way less vegans.
In the federal government we already deal with this xenophobic bullshit and your taxes get to pay 4x more for drones that literally break every 10 flights and get sent off for repairs that cost more than 2 brand-new DJI drones.
It depends on the type of signal. If it's non-linear and chaotic, sure. If its periodic, or has sustained trends, this approach is the basis for most engineering and science.
My friend has a subaru that he regularly takes on stuff that always impresses the truck and jeep riders. This includes soft sand on dunes, straight up the sides of leaf covered hills, through high rivers with rock bottoms. I think he has lifted it slightly but just about an inch or so with new performance shocks.
Well, the difference is the data-driven aspect of parts of the model. While its constrained by physics during the learning process it isn't just running a forward physics model to get the solution. The upfront computational load and extremely fast inference times through parameterization IS what makes it AI, and what makes it useful versus a normal numerical computer model.
This is simply not true and an uninformed opinion of what modeling physical events with AI looks like.
You seem to assume it’s a purely data-driven approach, it is not. You could use a physics informed neural network (PINN) that utilizes both approaches. That is, it uses both historical data (and likely synthetic data from physics models), as well as physical equations in the loss function (in this case atmospheric as fluid equations) as part of the training. It can truly be the best of both worlds if approached correctly.
That being said, 99% of AI out there is just masters thesis level data in -> prediction out, but that is far from what the useful AI models that are currently being developed to predict and forecast dynamical physical systems.
Additionally, you can generate synthetic data with the physical models of “edge” and “tail” events to train the model on. This by itself allows the ML model to be able to model almost all events that we can physically model, so at its base it’s at least as useful as the big O order models we use while being orders of magnitude faster. This doesn’t even account for using the physical equations to assist in training the model directly (through architecture tricks or in the loss function).
Source: I work on AI models that merge data and physics for dynamical physical systems
Do you just not care at all that’s it’s proven beyond a shadow of a doubt that Swedish authorities changed and made up evidence against him? There’s official documents that say this. Meanwhile your bullshit hasn’t been proven at all.
What about the obvious middle position, where the FDA continues to do everything it does and labels drugs as safe and effective, but then theres also non-FDA approved stuff that won't be labeled as FDA approved and you can do it if you want.
How do you go through life knowing youre making choices that don't make sense merely because someone told you to do something you had previously wanted to do?