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For the Inventor, By the Inventor

London, United Kingdom

Cagatay Dikici

USPTO Granted Patents = 16 

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • London, GB (2021 - 2024)
  • Hertfordshire, GB (2024)

Company Filing History:

goldMedal16 out of 1,348 
 
Imagination Technologies Limited
 patents

Years Active: 2021-2025

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16 patents (USPTO):Explore Patents
1. 12488253 - Neural network comprising matrix multiplication (2025-12-02),
2. 12347119 - Training a machine learning algorithm to perform motion estimation of objects in a set of frames (2025-07-01),
3. 12260336 - Training a neural network (2025-03-25),
4. 12229105 - Indexing elements in a source array (2025-02-18),
5. 12198034 - Hardware implementation of windowed operations in three or more dimensions (2025-01-14),
6. 12175349 - Hierarchical mantissa bit length selection for hardware implementation of deep neural network (2024-12-24),
7. 12174910 - Methods and systems for implementing a convolution transpose layer of a neural network (2024-12-24),
8. 12165045 - Hardware implementation of a deep neural network with variable output data format (2024-12-10),
9. 12073567 - Analysing objects in a set of frames (2024-08-27),
10. 12061972 - Hardware implementation of a neural network (2024-08-13),
11. 12056600 - Histogram-based per-layer data format selection for hardware implementation of deep neural network (2024-08-06),
12. 11886536 - Methods and systems for implementing a convolution transpose layer of a neural network (2024-01-30),
13. 11636306 - Implementing traditional computer vision algorithms as neural networks (2023-04-25),
14. 11593626 - Histogram-based per-layer data format selection for hardware implementation of deep neural network (2023-02-28),
15. 11556613 - Methods and systems for implementing a convolution transpose layer of a neural network (2023-01-17),

Title: Cagatay Dikici: A Pioneer in Machine Learning Innovations

Introduction

Cagatay Dikici, an accomplished inventor based in London, Great Britain, holds an impressive portfolio of 15 patents. His innovative work primarily focuses on advancements in machine learning algorithms, particularly in the realm of motion estimation technologies.

Latest Patents

Cagatay's latest inventions showcase his expertise in machine learning. One notable patent involves a method of generating a training dataset suitable for training ML algorithms to estimate motion. This method creates pairs of synthetic images of objects with varying positions and orientations against selected backgrounds. These image pairs serve as essential training data for enhancing the performance of motion estimation algorithms.

Another significant patent pertains to the training of a neural network. This computer-implemented method combines coefficients with input data values while applying sparsity to enhance accuracy. The patented process assesses the performance of the neural network based on training output data and updates the sparsity parameter to optimize the network's efficacy.

Career Highlights

Cagatay Dikici currently works at Imagination Technologies Limited, where he develops cutting-edge machine learning technologies. His role at the company has allowed him to leverage his inventive capabilities and contribute substantially to the field of artificial intelligence. His prolific output of patents stands as a testament to his innovative spirit and technical acumen.

Collaborations

Throughout his career, Cagatay has collaborated with notable colleagues such as James Imber and Clifford Gibson. These partnerships have fostered a creative environment that encourages the exchange of ideas and drives innovation in their projects. Together, they continue to push the boundaries of technology in the machine learning domain.

Conclusion

Cagatay Dikici exemplifies the essence of an innovator in today’s fast-paced technological landscape. His contributions, represented by his 15 patents, highlight a commitment to advancing machine learning and artificial intelligence. As he continues to work at Imagination Technologies Limited, we can expect further breakthroughs that will shape the future of technology.

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