71–80 of 166 posts
Earlier quoted context omitted.
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.
I'm half expecting to see "AI model" appearing as stand-in for "if > 0" at this point in the cycle.
They used a custom neural net with autoencoders, which contain convolutional layers. They trained it on previous experiment data. https://arxiv.org/html/2411.19506v1 Why is it so hard to elaborate what AI algorithm / technique they integrate? Would have made this article much better
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.
They used a custom neural net with autoencoders, which contain convolutional layers. They trained it on previous experiment data. https://arxiv.org/html/2411.19506v1 Why is it so hard to elaborate what AI algorithm / technique they integrate? Would have made this article much better
Because if it’s not an LLM it’s not good for the current hype cycle. Calling everything AI makes the line go up.
They used a custom neural net with autoencoders, which contain convolutional layers. They trained it on previous experiment data. https://arxiv.org/html/2411.19506v1 Why is it so hard to elaborate what AI algorithm / technique they integrate? Would have made this article much better
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.
Very important! This is not a LLM like the ones so often called AI these days. Its a neural network in a FPGA.
> FPGA So they aren't "burned into silicon" then? The article mentions FPGAs and ASICs but it's a bit vague. I would be surprised if ASICs actually made sense here.
When is the price of fabbing silicon coming down, so every SMB can do it?
My guess would be never. The closest you can get is "multi project wafers" where you get bundled with a load of other projects. As I understand it they're on the order of $100k which is cheap, but if you actually want to design and verify a chip you're looking at at least several million in salaries and software costs. Probably more like $10m, especially if you're paying US salaries. And of course that would be for a…
Earlier quoted context omitted.
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.
I'm sure I've seen basic hill climbing (and other optimisation algorithms) described as AI, and then used evidence of AI solving real-world science/engineering problems.
At some point someone will realise that backpropagation and adjoint solves are the same thing.
Earlier quoted context omitted.
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.
> I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle. Already the case with consulting companies, have seen it myself