London, United Kingdom

Cagatay Dikici

This inventor holds 23 USPTO granted patents and 47 published patent applications and 19 EPO patents, primarily in Neural Network Hardware. Top assignee: Imagination Technologies Limited. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Cagatay Dikici. Retrieved from https://idiyas.com/inventor/cagatay-dikici

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

USPTO Granted Patents = 23 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

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

Company Filing History:


Years Active: 2021-2026

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Areas of Expertise:
Neural Networks
Hardware Implementation
Deep Learning
GPU Processing
Convolution Layers
Weight Conversion
Motion Estimation
Matrix Multiplication
Data Format Selection
Sparse Deconvolution
Traditional Computer Vision
23 patents (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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