logo

For the Inventor, By the Inventor

San Jose, CA, United States of America

Ali Tasdighi Far

This inventor holds 33 USPTO granted patents, primarily in Artificial Intelligence Circuits. Top assignee: Other. Active years: 2016-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ali Tasdighi Far. Retrieved from https://idiyas.com/inventor/ali-tasdighi-far

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 33

% Patents Active = 97.0

Average Co-Inventor Count = 1.1

ph-index = 11

Forward Citations = 365(Granted Patents)


Location History:

  • Saratoga, CA (US) (2016 - 2020)
  • San Jose, CA (US) (2019 - 2023)

Company Filing History:

goldMedal33 out of 834,453 
Other
 patents

Years Active: 2016-2023

Loading Chart...
Areas of Expertise:
Machine Learning
Artificial Intelligence
Current-Mode Multipliers
Analog to Digital Converters
Data Conversion
Compute-in-Memory
Low Power Circuits
Approximate Multipliers
Neural Networks
Mixed-Mode Circuits
Glitch-Free Converters
Digital Approximate Squarer
33 patents (USPTO):Explore Patents
1. 11615256 - Hybrid accumulation method in multiply-accumulate for machine learning (2023-03-28),
2. 11610104 - Asynchronous analog accelerator for fully connected artificial neural networks (2023-03-21),
3. 11467805 - Digital approximate multipliers for machine learning and artificial intelligence applications (2022-10-11),
4. 11449689 - Current-mode analog multipliers for artificial intelligence (2022-09-20),
5. 11416218 - Digital approximate squarer for machine learning (2022-08-16),
6. 11275909 - Current-mode analog multiply-accumulate circuits for artificial intelligence (2022-03-15),
7. 11144316 - Current-mode mixed-signal SRAM based compute-in-memory for low power machine learning (2021-10-12),
8. 11016732 - Approximate nonlinear digital data conversion for small size multiply-accumulate in artificial intelligence (2021-05-25),
9. 10915298 - Current mode multiply-accumulate for compute in memory binarized neural networks (2021-02-09),
10. 10884705 - Approximate mixed-mode square-accumulate for small area machine learning (2021-01-05),
11. 10862501 - Compact high-speed multi-channel current-mode data-converters for artificial neural networks (2020-12-08),
12. 10862495 - Glitch free current mode analog to digital converters for artificial intelligence (2020-12-08),
13. 10848167 - Floating current-mode digital-to-analog-converters for small multipliers in artificial intelligence (2020-11-24),
14. 10833692 - Small low glitch current mode analog to digital converters for artificial intelligence (2020-11-10),
15. 10832014 - Multi-quadrant analog current-mode multipliers for artificial intelligence (2020-11-10),

Title: Innovator Spotlight: Ali Tasdighi Far - Pioneering Inventor in Machine Learning and Artificial Neural Networks

Introduction:

Ali Tasdighi Far, an esteemed inventor based in San Jose, CA, is making waves in the fields of machine learning and artificial neural networks. With a remarkable portfolio of 33 patents, Ali Tasdighi Far is revolutionizing the way we approach mixed-mode Multiply-Accumulate (MAC) functions in integrated circuits.

Latest Patents:

1. Hybrid accumulation method in multiply-accumulate for machine learning: Ali Tasdighi Far's patent introduces a Programmable-Hybrid-Accumulation (PHA) method, allowing for spatial and parallel MAC operations. This innovative approach offers flexibility in programming mixed-mode MAC functions, enhancing performance attributes such as lower current consumption and faster speed.

2. Asynchronous analog accelerator for fully connected artificial neural networks: This patent focuses on mixed-signal/analog MAC operations for matrix multiplication in fully connected artificial neural networks. The methods described are fast, efficient, and power-saving, making them suitable for a variety of applications in the realm of artificial intelligence.

Career Highlights:

With a wealth of experience and expertise, Ali Tasdighi Far has established himself as a trailblazer in the tech industry. His contributions to machine learning and neural network development have earned him recognition as a visionary inventor at the forefront of innovation.

Collaborations:

Ali Tasdighi Far has collaborated with distinguished colleagues such as Jerry M Collings and Michael C Shebanow. Together, they have worked on cutting-edge projects that have pushed the boundaries of what is possible in the realm of integrated circuit design.

Conclusion:

In conclusion, Ali Tasdighi Far's inventive spirit and dedication to advancing technology have cemented his legacy as a driving force in the realm of machine learning and artificial neural networks. His patents represent the pinnacle of innovation and are poised to shape the future of technological development.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…