Eli David

This inventor holds 19 USPTO granted patents and 9 published patent applications, plus 1 CIPO patent and 1 EPO patent, primarily in Neural Networks. Top assignees: Nano Dimension Technologies, Ltd., Deepcube Ltd.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eli David. Retrieved from https://idiyas.com/inventor/eli-david

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

Calculating rank

USPTO Granted Patents = 19 (Patent Applications = 9)

% Patents Active = 94.7

CIPO Patents = 1

EPO Patents = 1 (Patent Applications = 5)

Average Co-Inventor Count = 1.5

ph-index = 3

Forward Citations = 41(Granted Patents)

Company Filing History:

12 out of 32

Nano Dimension Technologies, Ltd.

Years Active: 2019-2026

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Areas of Expertise:

Neural Networks

Deep Learning

Additive Manufacturing

Sparse Networks

Filter-wise Recombination

Training Techniques

Heat-map Activation

Cluster Connections

Mimicking Models

Evolutionary Algorithms

19 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12737592 - Partial activation of multiple pathways in neural networks (2026-09-15),

2. 12437524 - Cluster-connected neural network (2025-10-07),

3. 12430747 - Inspecting a product made by additive manufacturing (2025-09-30),

4. 12314864 - System and method for mimicking a neural network without access to the original training dataset or the target model (2025-05-27),

5. 12307373 - Partial-activation of neural network based on heat-map of neural network activity (2025-05-20),

6. 12229650 - System and method for compact and efficient sparse neural networks (2025-02-18),

7. 12147903 - System and method for efficient evolution of deep convolutional neural networks using filter-wise recombination and propagated mutations (2024-11-19),

8. 12141678 - Partial activation of multiple pathways in neural networks (2024-11-12),

9. 11961003 - Training a student neural network to mimic a mentor neural network with inputs that maximize student-to-mentor disagreement (2024-04-16),

10. 11907854 - System and method for mimicking a neural network without access to the original training dataset or the target model (2024-02-20),

11. 11710044 - System and method for efficient evolution of deep convolutional neural networks using filter-wise recombination and propagated mutations (2023-07-25),

12. 11580352 - System and method for compact and efficient sparse neural networks (2023-02-14),

13. 11164084 - Cluster-connected neural network (2021-11-02),

14. 11055617 - Partial-activation of neural network based on heat-map of neural network activity (2021-07-06),

15. 10878321 - Partial activation of multiple pathways in neural networks (2020-12-29),

Title: The Innovative Genius of Eli David

Introduction

Eli David, an esteemed inventor based in Tel Aviv, Israel, has made significant contributions to the field of artificial intelligence and neural networks. With an impressive portfolio of 16 patents, David continues to push the boundaries of technology through innovative methodologies and systems.

Latest Patents

Among his latest inventions is a groundbreaking system and method for mimicking a neural network without access to the original training dataset or the target model. This invention provides a unique approach to replicate a pre-trained target model by using random or semi-random input data to probe the model remotely. The output data from this probing generates a random probe training dataset that is essential for training a new model, ultimately allowing it to mimic the desired output of the pre-trained model accurately.

Another notable patent is the development of a partial-activation neural network based on a heat-map of neural network activity. This method enhances the training and prediction capabilities of neural networks by utilizing historical metrics of activity for each synapse or filter. By executing iterative partial activations, David's system ensures that each synapse is activated proportionally to its historical performance, resulting in more efficient neural network training and prediction processes.

Career Highlights

Eli David has worked with prominent companies such as Nano Dimension Technologies, Ltd. and Deepcube Ltd., where he honed his skills and expertise in advanced technologies. His work in these organizations has significantly influenced the evolution of neural network systems and methodologies.

Collaborations

Throughout his career, Eli David has collaborated with talented individuals like Eri Rubin. These partnerships have enabled him to refine his ideas and innovatively tackle complex challenges in the field of artificial intelligence.

Conclusion

Eli David is a visionary inventor whose work continues to shape the future of artificial intelligence. With a remarkable number of patents under his belt and a commitment to innovation, he stands as a prominent figure in the tech industry. His contributions not only advance technology but also inspire future generations of inventors and innovators.

Profile summary based on public USPTO records.