IDiyas

For the Inventor, By the Inventor

Tokyo, Japan

Sakyasingha Dasgupta

USPTO Granted Patents = 22 

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Shinagawa-ku, JP (2020 - 2022)
  • Tokyo, JP (2021 - 2024)

Company Filing History:

goldMedal12 out of 164,108 
 
International Business Machines Corporation
 patents
silverMedal10 out of 10 
 
Edgecortix Pte. Ltd.
 patents

Years Active: 2020-2025

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22 patents (USPTO):
1. 12445150 - Low-density parity-check (LDPC) data decoding using iteration-variable accuracy (2025-10-14),
2. 12436699 - Integrated circuit data stream processing using paged buffering (2025-10-07),
3. 12165042 - Neural network hardware accelerator data parallelism (2024-12-10),
4. 12079632 - Sequence partition based schedule optimization (2024-09-03),
5. 11893475 - Neural network accelerator writable memory (2024-02-06),
6. 11886988 - Method for adaptive exploration to accelerate deep reinforcement learning (2024-01-30),
7. 11657260 - Neural network hardware accelerator data parallelism (2023-05-23),
8. 11593611 - Neural network cooperation (2023-02-28),
9. 11574164 - Neural network cooperation (2023-02-07),
10. 11521052 - Hardware and neural architecture co-search (2022-12-06),
11. 11410042 - Dynamic Boltzmann machine for estimating time-varying second moment (2022-08-09),
12. 11250313 - Autonomous trading with memory enabled neural network learning (2022-02-15),
13. 11195116 - Dynamic boltzmann machine for predicting general distributions of time series datasets (2021-12-07),
14. 11188300 - Preparation and execution of quantized scaling on integrated circuitry (2021-11-30),
15. 11182676 - Cooperative neural network deep reinforcement learning with partial input assistance (2021-11-23),

Title: Innovator Spotlight: Sakyasingha Dasgupta

Introduction: Sakyasingha Dasgupta, based in Tokyo, Japan, is a prominent inventor who has made significant contributions to the field of neural network acceleration. With a remarkable portfolio of 20 patents, his innovations have set the standard for advancements in technology and computational efficiency.

Latest Patents: Among his most notable patents are two groundbreaking inventions. The first is the "Neural network hardware accelerator data parallelism," which involves an integrated circuit designed with multiple memory banks. This circuit is uniquely configured to store and transmit values, while its computation units effectively perform mathematical operations to optimize data processing. The second patent, "Sequence partition based schedule optimization," focuses on improving computational efficiency by dividing sequences into partitions based on a generated schedule. This involves a complex process of optimizing partitions and merging them for enhanced performance.

Career Highlights: Sakyasingha has had an impactful career working for leading technology companies, including IBM and Edgecortix Pte. Ltd. His experience at these renowned organizations has allowed him to hone his skills and push the boundaries of innovation in the tech industry.

Collaborations: Throughout his career, Sakyasingha has collaborated with talented professionals such as Nikolay Nez and Takayuki Osogami. These partnerships have fostered a collaborative environment that emphasizes creativity and innovation in problem-solving.

Conclusion: Sakyasingha Dasgupta's work exemplifies the spirit of innovation and invention. His latest patents reflect a deep understanding of technology and its potential to revolutionize industries. As he continues to innovate, the impact of his contributions will undoubtedly be felt across various sectors, reinforcing his status as a leading inventor in the field.

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