SiMa Technologies, Inc.
25Patents
18Active
25Granted
46Portfolio score
Filing activity: Jul 13, 2000 → Apr 7, 2023 · 1 expiring within 5 years
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US6884822B2 | Sol-gel process utilizing reduced mixing temperatures | Emerging Cross-Sectional Technologies | 9 | Expired |
| US11321607B2 | Machine learning network implemented by statically scheduled instructions, with compiler | Emerging Cross-Sectional Technologies | 5 | Active |
| US6620368B1 | Sol-gel process for production of oxide-based glass and ceramic articles | Chemistry; Metallurgy | 5 | Expired |
| US8040602B1 | Frame assembly for a projection screen system | Physics | 4 | Active |
| US6928220B2 | Sol-gel-derived optical fiber preform and method of manufacture | Chemistry; Metallurgy | 3 | Expired |
| US7026362B2 | Sol-gel process utilizing reduced mixing temperatures | Emerging Cross-Sectional Technologies | 3 | Expired |
| US7125912B2 | Doped sol-gel materials and method of manufacture utilizing reduced mixing temperatures | Emerging Cross-Sectional Technologies | 3 | Expired |
| US12026510B1 | Using cycle counts to serve compute elements executing statically scheduled instructions for a machine learning accelerator | Physics | 3 | Active |
| US7001568B2 | Method of removing liquid from pores of a sol-gel monolith | Physics | 3 | Expired |
| US11488066B2 | Efficient convolution of multi-channel input samples with multiple kernels | Physics | 1 | Active |
| US11586894B2 | Ordering computations of a machine learning network in a machine learning accelerator for efficient memory usage | Physics | 1 | Active |
| US7000885B2 | Apparatus and method for forming a sol-gel monolith utilizing multiple casting | Emerging Cross-Sectional Technologies | 1 | Expired |
| US11734605B2 | Allocating computations of a machine learning network in a machine learning accelerator | Physics | 1 | Active |
| US11354570B2 | Machine learning network implemented by statically scheduled instructions, with MLA chip | Emerging Cross-Sectional Technologies | 1 | Active |
| US11886981B2 | Inter-processor data transfer in a machine learning accelerator, using statically scheduled instructions | Physics | 1 | Active |
| US11803740B2 | Ordering computations of a machine learning network in a machine learning accelerator for efficient memory usage | Physics | 1 | Active |
| US11734549B2 | Avoiding data routing conflicts in a machine learning accelerator | Physics | 0 | Active |
| US12333351B2 | Synchronization of processing elements that execute statically scheduled instructions in a machine learning accelerator | Physics | 0 | Active |
| US12260253B2 | Layout-based data transfer between synchronized, interconnected processing elements for implementing machine learning networks | Physics | 0 | Active |
| US11989581B2 | Software managed memory hierarchy | Emerging Cross-Sectional Technologies | 0 | Active |
| US11782757B2 | Scheduling off-chip memory access for programs with predictable execution | Physics | 0 | Active |
| US11403519B2 | Machine learning network implemented by statically scheduled instructions, with system-on-chip | Emerging Cross-Sectional Technologies | 0 | Active |
| US11631001B2 | Heterogeneous computing on a system-on-chip, including machine learning inference | Physics | 0 | Active |
| US12399688B2 | Development platform for image processing pipelines that use machine learning with user interface | Physics | 0 | Active |
| US12067465B2 | Instruction streaming for a machine learning accelerator | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.