Company Filing History:
Years Active: 2018-2020
Title: Michael Kemelmakher: Innovator in Neural Networks
Introduction
Michael Kemelmakher is a prominent inventor based in Hod Hasharon, Israel. He has made significant contributions to the field of neural networks, holding a total of 5 patents. His work focuses on enhancing machine learning models and improving their accuracy in various applications.
Latest Patents
One of his latest patents is titled "Blind spot implementation in neural networks." This patent discloses techniques for implementing blind spots into neural network models. In this invention, a computer-implemented method is described, which involves obtaining an image captured within the field of view of an image capture device. The method determines a confidence value for an object based on its position within the field of view, using a neural network model. The model is trained to generate lower confidence values for specific objects when they occupy certain positions, enhancing the model's reliability.
Another notable patent is focused on "Training machine learning models." This system includes a processor and memory configured to store instructions that result in operations when executed. The operations involve training a machine learning model by processing a training set that includes synthetic images generated from non-synthetic images. The model is trained with additional data when it is unable to classify images with specific modifications, ensuring its robustness and adaptability.
Career Highlights
Michael Kemelmakher is currently employed at SAP SE, where he continues to innovate and develop advanced technologies in the field of machine learning and neural networks. His expertise and dedication to research have positioned him as a key player in the tech industry.
Collaborations
Throughout his career, Michael has collaborated with notable colleagues, including Ran Bittmann and Leonid Bobovich. These partnerships have fostered a creative environment that encourages the exchange of ideas and advancements in technology.
Conclusion
Michael Kemelmakher's contributions to neural networks and machine learning are noteworthy. His innovative patents and collaborative efforts reflect his commitment to advancing technology in meaningful ways. His work continues to influence the field and inspire future innovations.