Amol Ashok Ambardekar

This inventor holds 31 USPTO granted patents and 1 published patent application and 17 EPO patents, primarily in Neural Network Processing. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2017-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amol Ashok Ambardekar. Retrieved from https://idiyas.com/inventor/amol-ashok-ambardekar

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

USPTO Granted Patents = 31 (Patent Applications = 1)

% Patents Active = 100.0

EPO Patents = 17 (Patent Applications = 22)

Average Co-Inventor Count = 5.5

ph-index = 3

Forward Citations = 50(Granted Patents)

Location History:

Bellevue, WA (US) (2017)
Redmond, WA (US) (2020 - 2024)

Company Filing History:

31 out of 56,279

Microsoft Technology Licensing, LLC

patents

Years Active: 2017-2024

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Areas of Expertise:

Neural Processing Element

Memory Utilization

Power Efficiency

Data Management

Vector Dequantization

Compression-Encoding

Deep Neural Networks

Image Annotations

Workload Management

Performance Enhancement

Virtualized Data Iterator

Computer Vision

31 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12154027 - Increased precision neural processing element (2024-11-26),

2. 11909422 - Neural network processor using compression and decompression of activation data to reduce memory bandwidth utilization (2024-02-20),

3. 11750212 - Flexible hardware for high throughput vector dequantization with dynamic vector length and codebook size (2023-09-05),

4. 11722147 - Dynamic sequencing of data partitions for optimizing memory utilization and performance of neural networks (2023-08-08),

5. 11604972 - Increased precision neural processing element (2023-03-14),

6. 11528033 - Neural network processor using compression and decompression of activation data to reduce memory bandwidth utilization (2022-12-13),

7. 11526581 - Compression-encoding scheduled inputs for matrix computations (2022-12-13),

8. 11514648 - Aligning input image data with model input data to generate image annotations (2022-11-29),

9. 11507349 - Neural processing element with single instruction multiple data (SIMD) compute lanes (2022-11-22),

10. 11494237 - Managing workloads of a deep neural network processor (2022-11-08),

11. 11493985 - Selectively controlling memory power for scheduled computations (2022-11-08),

12. 11487342 - Reducing power consumption in a neural network environment using data management (2022-11-01),

13. 11476869 - Dynamically partitioning workload in a deep neural network module to reduce power consumption (2022-10-18),

14. 11405051 - Enhancing processing performance of artificial intelligence/machine hardware by data sharing and distribution as well as reuse of data in neuron buffer/line buffer (2022-08-02),

15. 11341399 - Reducing power consumption in a neural network processor by skipping processing operations (2022-05-24),

Title: Amol Ashok Ambardekar - Innovative Inventor from Redmond

Introduction: Amol Ashok Ambardekar is a renowned inventor based in Redmond, Washington, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Amol Ashok Ambardekar holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a career spanning over two decades, Amol Ashok Ambardekar has worked with leading tech companies, spearheading research and development projects that have led to significant advancements in the industry.

Collaborations: Throughout his career, Amol Ashok Ambardekar has collaborated with top researchers, engineers, and scientists, fostering a culture of innovation and pushing the boundaries of what is possible in the tech world.

Conclusion: Amol Ashok Ambardekar's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and technologists.

Profile summary based on public USPTO records.