Eban Posted March 2, 2022 Share Posted March 2, 2022 Might be long to watch but very interesting! 1 1 1 Thunderchild // Lenovo Legion Y740 17" i7-9750H rtx2080maxQ win10 Rainbird // Alienware 17 (Ranger) i7-4910mq gtx980m win10 Link to comment Share on other sites More sharing options...
duskw4lker Posted March 2, 2022 Share Posted March 2, 2022 so if I understood it right, the key is the weight assigned through 'training' the 'analog neurons' by substracting errors where each 'analog neuron' that outweighs or gets outweighed by other layers of neurons value in a particular case of defining which criteria/output/answer is delivered/applied through a matrix calculation that ultimately represents a quorum that reached an agreement??... what?? I'm not trying to be a smartass, it was really complex to try to comprehend all that info, and I'm glad that I don't have to solve those kind of problems 😅 however it may be, it's great to see how technology goes back to the basics (repurposing flash cells currently used for digital storage to analog calculations), and greatly improve those concepts in the pursuit of tackling a particular problem. Different tools for different problems, awesome 😄 Link to comment Share on other sites More sharing options...
Ishayin Posted March 7, 2022 Share Posted March 7, 2022 Thanks for posting – that is interesting indeed and a lot of different aspects to consider. I feel like the whole "exact vs inexact" dichotomy here is a bit well, inexact. The question should surely rather be "how exact". From a physics perspective, I assume the inexactness they are speaking to is associated with the noise levels inherent in the electronic signals and read-outs. So presumably they could do things like reduce the temperature to reduce the Johnson/thermal noise, or increase currents/voltages, or add duplicated parallel processing with balanced connections. Though all of these options would increase power requirements. Anyway, I figure there must be some kind of trade-off that can be had with different designs with different compromises suited to different applications... Anyone here a computer scientist who could speak to what the fundamental application limitations might be? From the very simplified story presented there you get the idea that the range of possible applications should be much broader than just AI, but maybe that is misleading. Surely the output of GPUs for example does not need to be exact, so can we utilise an analog chip for at least the final rendering part of the computational chain? If it's not possible to develop general purpose analog chips, then they won't replace CPUs, but perhaps more promising as additional complementary chips that can be assigned particular tasks? Anyway, always nice to see the development of much more efficient approaches, and people generally thinking outside the box. ☺️ Link to comment Share on other sites More sharing options...
aldarxt Posted October 16, 2022 Share Posted October 16, 2022 Very Interesting even groundbreaking kinda like when man added the wheel to the box, he no longer needed to carry the box, he got in and went 1 Clevo P870DM3-G i7-6700k-32.0GB 2667mhz-GTX 1080 SLI Alienware M18x R2 i7-3920xm-16GB DDR3-Quadro P4000 Alienware M17x R4 i7-3940XM 16GB DDR3-1866 Quadro P4000 Alienware M17x R4 i7-3940XM 32GB DDR3-1600 GTX 680M 120hz 3D Precision m6700 i7-3840QM - 16.0GB DDR3 - GTX 970M Precision m4700 i7-3610QM-8.00GB DDR3 @ 1600MHz-K2000M GOBOXX SLM G2721-i7-10875H RTX 3000-32GB ddr4(Gave to my Wife) Link to comment Share on other sites More sharing options...
Recommended Posts
Create an account or sign in to comment
You need to be a member in order to leave a comment
Create an account
Sign up for a new account in our community. It's easy!
Register a new accountSign in
Already have an account? Sign in here.
Sign In Now