Matthias Reisser

Title: Innovator Spotlight: Matthias Reisser

Introduction: Matthias Reisser, located in Weesp, NL, is a prominent inventor with a focus on advancements in deep learning and neural network technologies. With a portfolio of three patents, Reisser stands out in his field for developing innovative methods that enhance the efficiency of artificial intelligence systems.

Latest Patents: Among Matthias Reisser's latest contributions to the field are two significant patents. The first patent is titled "Joint pruning and quantization scheme for deep neural networks". This innovative method addresses the compression of deep neural networks by determining a pruning ratio for a channel and a mixed-precision quantization bit-width based on the operational budget of a device implementing the neural network. It involves quantizing weight parameters and activation parameters as well as pruning channels based on the calculated pruning ratio.

The second patent, "Systems and methods for modifying neural networks for binary processing applications", outlines a method for simulating an operation of an artificial neural network on a binary neural network processor. This process includes receiving a binary input vector for a layer associated with a probabilistic binary weight matrix and performing vector-matrix multiplication, with results modified by simulated hardware noise to generate a binary output vector.

Career Highlights: Matthias Reisser is an integral part of Qualcomm Incorporated, where he applies his expertise in deep learning and neural network technologies. His work is aimed at enhancing the capabilities and performance of AI systems, allowing them to operate more efficiently in various applications.

Collaborations: Reisser collaborates with other notable figures in the industry, including his coworkers Max Welling and Tijmen Pieter Frederik Blankevoort. Together, they contribute to cutting-edge research and development in the field of artificial intelligence, furthering the boundaries of technology.

Conclusion: Matthias Reisser's innovative spirit and dedication to advancing deep learning technologies hold significant promise for the future of artificial intelligence. His patents are a testament to his creativity and technical proficiency, making him an influential figure in the realm of neural networks. As AI continues to evolve, Reisser's contributions are likely to pave the way for even more groundbreaking developments.