This inventor holds 1 USPTO granted patent. Top assignee: Arm Limited. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations by Jacob Bohlin in Neural Network Processing
Introduction
Jacob Bohlin is an accomplished inventor based in Lund, Sweden. He has made significant contributions to the field of neural networks, particularly in methods that enhance processing efficiency. His innovative approach aims to reduce storage usage during the processing of neural networks, which is crucial for the advancement of information processing technologies.
Latest Patents
Jacob Bohlin holds a patent for a method that reduces storage usage during the processing of a neural network performed by an information processing apparatus. This method involves representing the network as a linear sequence of operators that operate on an input feature map to generate an output feature map. The patent outlines a process for identifying operators that cannot form part of a cascade and processing them with the entire input and output feature map. Additionally, it describes forming cascades of successive operators, allowing for the processing of input feature maps in portions, which optimizes storage and processing efficiency. Jacob Bohlin has 1 patent to his name.
Career Highlights
Jacob is currently employed at Arm Limited, a leading company in semiconductor and software design. His work at Arm Limited focuses on developing advanced technologies that push the boundaries of what is possible in the field of neural networks. His innovative methods have the potential to significantly impact various applications, from artificial intelligence to data processing.
Collaborations
Jacob collaborates with Philip Gregory Hall, a fellow innovator in the field. Their combined expertise contributes to the development of cutting-edge technologies that enhance the capabilities of neural networks.
Conclusion
Jacob Bohlin's contributions to neural network processing exemplify the innovative spirit of modern technology. His patent and work at Arm Limited highlight the importance of efficiency in information processing, paving the way for future advancements in the field.