This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Joseph Anthony Mayer, II: Innovator in Tensor-Based Hardware Acceleration
Introduction
Joseph Anthony Mayer, II is a notable inventor based in Seattle, WA. He has made significant contributions to the field of computing, particularly in the area of hardware acceleration for deep neural networks. His innovative work has led to the development of a unique computing system that enhances the efficiency of processing operations.
Latest Patents
Mayer holds a patent for a "Tensor-based hardware accelerator including a scalar-processing unit." This patent describes a computing system designed to expedite deep neural network (DNN) operations using a hardware accelerator. The hardware accelerator features a tensor-processing engine that collaborates with a scalar-processing unit (SPU). The tensor-processing engine is responsible for executing various tensor-based operations required by the DNN, such as multiplying vectors by matrices and transforming individual vectors. Meanwhile, the SPU performs scalar-based operations, including generating the square root of a scalar.
Career Highlights
Joseph Anthony Mayer, II is currently associated with Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to explore and implement advanced computing technologies that push the boundaries of what is possible in the realm of artificial intelligence and machine learning.
Collaborations
Mayer has collaborated with notable colleagues, including Steven Karl Reinhardt and Dan Zhang. These partnerships have contributed to the advancement of innovative technologies within the company.
Conclusion
Joseph Anthony Mayer, II is a distinguished inventor whose work in tensor-based hardware acceleration has made a significant impact on computing systems. His contributions continue to shape the future of deep learning and artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
