Matthew John Streeter

Title: Innovations of Matthew John Streeter

Introduction

Matthew John Streeter is an accomplished inventor based in Pittsburgh, PA. He holds a total of 4 patents that showcase his expertise in developing advanced systems and methods in technology. His work has significantly contributed to the fields of machine learning and signal processing.

Latest Patents

One of his latest patents is titled "Systems and methods for learning effective loss functions efficiently." This patent presents systems and methods that learn a loss function which, when minimized over training data, produces a model that performs well on test data according to various error metrics. Notably, the error metric does not need to be differentiable and may only be loosely related to the loss function. The disclosure includes a convex-programming-based algorithm that takes observed data from training a small number of models and outputs a loss function. This algorithm can be utilized to tune loss function hyperparameters and adjust the loss function dynamically during training.

Another significant patent is "Signal-processing devices having one or more memristors." This patent describes signal-processing devices that utilize memristors to perform frequency-discrimination functions, amplitude-discrimination functions, and time-oriented functions. The time-domain behavior of the memristors enables these functions to be executed effectively. In one embodiment, the memristance of an arrangement of memristors predominantly remains at a first level if the frequency of an input signal is below a certain threshold and shifts to a second level if the frequency exceeds another threshold.

Career Highlights

Matthew has worked with notable companies, including Google Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in technology.

Collaborations

Throughout his career, Matthew has collaborated with esteemed colleagues such as Martin Anthony Keane and John R Koza. These partnerships have fostered an environment of creativity and innovation, leading to the development of impactful technologies.

Conclusion

Matthew John Streeter's contributions to the fields of machine learning and signal processing through his patents reflect his dedication to innovation. His work continues to influence advancements in technology and showcases the importance of effective collaboration in the invention process.