Pallab Datta

This inventor holds 66 USPTO granted patents and 4 published patent applications and 3 EPO patents, primarily in Neurosynaptic Systems (CPC class G06N). Top assignee: International Business Machines Corporation. Active years: 2014-2026.

USPTO Granted Patents = 66 (Patent Applications = 4)

% Patents Active = 69.7

EPO Patents = 3 (Patent Applications = 4)

Average Co-Inventor Count = 5.7

ph-index = 7

Forward Citations = 199(Granted Patents)

Forward Citations (Not Self Cited) = 164(Dec 10, 2025)

Inventors with similar research interests:

Company Filing History:

66 out of 166,264

International Business Machines Corporation

patents

Years Active: 2014-2026

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Areas of Expertise:

Neural Network Architecture

Neurosynaptic Processors

Inference Processing

Reconfigurable Cores

Parallel Computational Architecture

Fault-Tolerant Design

Dynamic Precision

Data Distribution

Neural Inference Engine

Low-Precision Computation

Hardware-Software Co-Design

Scene Understanding

66 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12730644 - Selecting an executable operation from a lookup table identified by a conditional instruction and indexed based on combined results of concurrently-computed relational operators (2026-09-08),

2. 12675682 - Neural network accelerator output ranking (2026-07-07),

3. 12670369 - Central scheduler and instruction dispatcher for a neural inference processor (2026-06-30),

4. 12554978 - Horizontal and vertical assertions for validation of neuromorphic hardware (2026-02-17),

5. 12554961 - Block transfer of neuron output values through data memory for neurosynaptic processors (2026-02-17),

6. 12481861 - Hierarchical parallelism in a network of distributed neural network cores (2025-11-25),

7. 12443830 - Compressed weight distribution in networks of neural processors (2025-10-14),

8. 12406186 - Conflict-free, stall-free, broadcast network on chip (2025-09-02),

9. 12406174 - Multi-agent instruction execution engine for neural inference processing (2025-09-02),

10. 12400112 - Efficient method for VLSI implementation of useful neural network activation functions (2025-08-26),

11. 12400109 - Functional synthesis of networks of neurosynaptic cores on neuromorphic substrates (2025-08-26),

12. 12387082 - Scheduler for mapping neural networks onto an array of neural cores in an inference processing unit (2025-08-12),

13. 12260316 - Automatic timing resolution among neural network components (2025-03-25),

14. 12182687 - Data representation for dynamic precision in neural network cores (2024-12-31),

15. 12165050 - Networks for distributing parameters and data to neural network compute cores (2024-12-10),

Title: Pallab Datta: Pioneering Innovation in Neural Network Processing Hardware

Introduction:

Pallab Datta, a trailblazer in the world of inventions, is known for his relentless pursuit of innovation and pushing the boundaries of technology. His commitment to creating cutting-edge solutions has cemented his reputation as a true visionary in the field. Based in San Jose, CA (US), he has amassed an impressive portfolio of 49 patents, with his latest breakthroughs focusing on parallel computational architectures for neural network processing hardware.

Latest Patents:

Datta's most recent patents showcase his expertise in developing advanced neural network processing hardware. One notable invention is the "Parallel computational architecture with reconfigurable core-level and vector-level parallelism," which enhances the efficiency and performance of neural networks. Another groundbreaking patent is "Instruction distribution in an array of neural network cores," which optimizes the deployment of core microcode in neural inference chips.

Career Highlights:

Currently employed at International Business Machines Corporation (IBM), Datta continues to drive innovation within the company's research and development department. His significant contributions have led to the development of state-of-the-art technologies that are shaping the future of artificial intelligence and machine learning. Datta's dedication to excellence and passion for innovation have positioned him as a key figure in the tech industry.

Collaborations:

Throughout his career, Datta has collaborated with esteemed colleagues such as Dharmendra S Modha and Myron Dale Flickner. These partnerships have resulted in the successful implementation of groundbreaking projects and the creation of innovative solutions that are revolutionizing the field of neural network processing.

Conclusion:

In conclusion, Pallab Datta's remarkable journey as an inventor and innovator exemplifies the power of relentless dedication and visionary thinking. His contributions to the development of advanced neural network processing hardware have not only positioned him as a trailblazer in the industry but have also inspired the next generation of inventors to dream big and strive for excellence. Datta's work serves as a testament to the transformative impact of innovation on creating a better future through technology.