Andrew C Mihal

Title: Innovations of Andrew C. Mihal: Pioneering Machine Learning Techniques

Introduction

Andrew C. Mihal is a prominent inventor based in San Jose, CA, USA, known for his significant contributions to the field of machine learning. With a remarkable portfolio of 23 patents, Mihal has demonstrated a deep understanding of technology and innovation. His recent work emphasizes the improvement of machine-trained networks, which are critical in enhancing accuracy and efficiency in various applications.

Latest Patents

Among his latest patents, Mihal has developed methods for training networks to maximize the true positive rate while maintaining a low false positive rate. This involves processing input data through a machine-trained (MT) network and calculating a true positive rate as a function of the distance between output values for different categories. Another noteworthy patent focuses on training networks to minimize worst-case errors. This approach configures the MT network by using a continuously-differentiable loss function to optimize expected output probability distributions.

Career Highlights

Mihal has worked at notable companies such as Perceive Corporation and National Instruments Corporation. His experience in these organizations has fueled his innovative spirit and allowed him to engage in groundbreaking projects.

Collaborations

Throughout his career, Mihal has collaborated with esteemed colleagues, including Steven L. Teig and Eric A. Sather. These partnerships have contributed to the development of cutting-edge technologies and solutions in machine learning.

Conclusion

Andrew C. Mihal's innovative approaches to machine learning exemplify his commitment to advancing technology. Through his patents and collaborations, he continually pushes the boundaries of what is possible in the fields of artificial intelligence and automated systems. His achievements not only reflect his ingenuity but also the potential for future developments that can transform various industries.