alt Hacker News> CIM does not bake the weights into silicon
If that were the extent of the terms, then what could we call "baking the weights into silicon"? Setting parts of the circuits to determined values for multiplication is is like printing a Read-Only Memory. (And you compute at it: Compute In Memory.)
> CIM where you still need general purpose ALUs all over the place
If that were so, then why do taxonomists present analogue computing as part of CIM? Ohm's Law does not constitute an "ALU" the way you intend it.
Simply, I used CIM, "Compute In Memory", for lack of a better term - for "store data there where you modify data", for "beyond Von Neumann's separation of data storage and processor".
EDIT: It's just not even worth arguing this point, so deleting my original, much longer comment. Abstract taxonomies can claim that Taalas is CIM, but this entirely and utterly misses the point, and misses what makes Taalas' approach special. If you told a room full of chip architects to go build "CIM for AI", they would not build a Taalas-like totally specialized chip, therefore it is not sufficient, and just muddies the conversation from my point of view. People have been doing "CIM" for decades and yet I've never seen anyone build a totally specialized chip at the scale of Taalas. And yes, you can (in theory) build an analog version of any computer, so of course you can build analog CIM, but "analog compute" is not inherently CIM, so conflating the two is just confusing.