Santa Clara, CA, United States of America

Rajkishore Barik

This inventor holds 67 USPTO granted patents and 12 published patent applications and 19 EPO patents, primarily in Machine Learning Optimization (CPC class G06F). Top assignees: Intel Corporation, International Business Machines Corporation. Active years: 2007-2026.

USPTO Granted Patents = 67 (Patent Applications = 12)

% Patents Active = 92.5

EPO Patents = 19 (Patent Applications = 35)

Average Co-Inventor Count = 8.4

ph-index = 9

Forward Citations = 374(Granted Patents)

Forward Citations (Not Self Cited) = 304(Dec 10, 2025)

Inventors with similar research interests:

Location History:

Zurich Witikon, CH (2007)
New Delhi, IN (2013)
Houston, TX (US) (2013 - 2017)
Santa Clara, CA (US) (2016 - 2024)

Company Filing History:

International Business Machines Corporation

patents

Years Active: 2007-2026

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Areas of Expertise:

Convolution

Neural Networks

Compute Optimization

Sparse Computation

Adaptive Runtime

Floating Point Operations

Heterogeneous Computing

Thread Group Scheduling

Programmable Hardware

Dynamic Precision

Efficiency Tools

Multi-GPU Coherency

67 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12608600 - Specialized fixed function hardware for efficient convolution (2026-04-21),

2. 12430131 - Compute optimizations for neural networks (2025-09-30),

3. 12367382 - Training with adaptive runtime and precision profiling (2025-07-22),

4. 12346798 - Dynamic precision for neural network compute operations (2025-07-01),

5. 12217053 - Instructions and logic to perform floating point and integer operations for machine learning (2025-02-04),

6. 12210900 - Efficient thread group scheduling (2025-01-28),

7. 12198221 - Compute optimization mechanism for deep neural networks (2025-01-14),

8. 12147849 - Work stealing in heterogeneous computing systems (2024-11-19),

9. 12141891 - Machine learning sparse computation mechanism (2024-11-12),

10. 12141578 - Instructions and logic to perform floating point and integer operations for machine learning (2024-11-12),

11. 12112397 - Programmable coarse grained and sparse matrix compute hardware with advanced scheduling (2024-10-08),

12. 12050984 - Specialized fixed function hardware for efficient convolution (2024-07-30),

13. 12039331 - Instructions and logic to perform floating point and integer operations for machine learning (2024-07-16),

14. 12001944 - Tool for facilitating efficiency in machine learning (2024-06-04),

15. 11922535 - Compute optimization mechanism for deep neural networks (2024-03-05),

Title: Rajkishore Barik: Pioneering Inventor from Santa Clara

Introduction: Rajkishore Barik is a distinguished inventor based in Santa Clara, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Rajkishore Barik holds several patents in the areas of artificial intelligence, machine learning, and cybersecurity, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a career spanning over two decades, Rajkishore Barik has worked with leading tech companies in Silicon Valley, playing a key role in developing innovative solutions that have revolutionized the industry.

Collaborations: Throughout his career, Rajkishore Barik has collaborated with top researchers, engineers, and scientists, fostering a culture of creativity and excellence in all his projects.

Conclusion: Rajkishore Barik's passion for innovation and his relentless pursuit of technological advancement continue to inspire the next generation of inventors and entrepreneurs.