Location History:
- Saratoga, CA (US) (2016 - 2020)
- San Jose, CA (US) (2019 - 2023)
Company Filing History:
33 out of 832,880 Years Active: 2016-2023
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.