## https://www.mythic-ai.com/category/artificial-intelligence/



https://www.mythic-ai.com/the-era-of-analog-compute-has-arrived/

- [PDF of main points - medium](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5070/Mythic%2B_%2BHot%2BChips%2B2018.%2BA%2Bbreakdown%2Bof%2BMythic_s%2Bpresentation%2Bat_E2_80_A6%2B_%2Bby%2BDave%2BFick%2B_%2BMythic%2B_%2BMedium.pdf) , poor print [2018 - Hot Chips](https://s3.amazonaws.com/knowen-production/big_attachments/968aec681203cd9b6b8de379593d8195/Mythic+@+Hot+Chips+2018.+A+breakdown+of+Mythic's+presentation+at++by+Dave+Fick++Mythic++Medium.pdf) - PRESENTATION

- video [Building the Future of AI Hardware Part 1 - CogX 2019](https://www.youtube.com/watch?v=XZD1Xwrl4f4)
39:30 mythic- matrix multiplication with flash in-memory

## https://patents.justia.com/search?q=Mythic

## NEWS -  https://semiengineering.com/tag/mythic-ai/

[A Closer Look at Machine Learning Chip Maker Mythic](https://www.electronicdesign.com/technologies/embedded-revolution/article/21806389/a-closer-look-at-machine-learning-chip-maker-mythic) Apr 16th, 2018

[Mythic AI Accelerator Targets High-End Edge With 35 TOPS](https://www.eetimes.com/mythic-ai-accelerator-targets-high-end-edge-with-35-tops/#) By Sally Ward-Foxton  11.19.2020


## [the product - M1108 ANALOG MATRIX PROCESSOR](https://www.mythic-ai.com/product/analog-matrix-processor/)

## [Dave Fick](https://scholar.google.com/citations?user=oImoDZUAAAAJ&hl=en)

presentation at Berkeley - 2019 [Analog Compute-in-Memory at Mythic](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5192/Analog%2BCompute%2Bat%2BMythic.pdf)
a course - [Hardware for Machine Learning](https://inst.eecs.berkeley.edu/~ee290-2/sp20/)

## 2017 [Analog In-Memory Subthreshold Deep Neural Network Accelerator](http://blaauw.engin.umich.edu/wp-content/uploads/sites/342/2018/03/Fick-Analog-In-Memory-Subthreshold-Deep-Neural-Network-Accelerator.pdf) as well as [pdf](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5301/Fick-Analog-In-Memory-Subthreshold-Deep-Neural-Network-Accelerator.pdf)

## [MYTHIC MULTIPLIES IN A FLASH](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5314/Mythic-Multiplies-In-A-Flash.pdf)
> Analog In-Memory Computing Eliminates DRAM Read/Write Cycles By Mike Demler (August 27, 2018)

- [**Codasip Bk3, Codasip Studio** - RESULT Reusable programmable domain-specific core with custom instructions](https://codasip.com/wp-content/uploads/Codasip_case-study_Mythic.pdf)