Steven L Teig

Menlo Park, CA, United States of America

Steven L Teig

Average Co-Inventor Count = 2.4

ph-index = 37

Forward Citations = 6,252(Granted Patents)

Forward Citations (Not Self Cited) = 3,684(Sep 21, 2024)

DiyaCoin DiyaCoin 14.43 

Inventors with similar research interests:


Location History:

  • Sunnyvale, CA (US) (2002)
  • Palo Alto, CA (US) (1995 - 2005)
  • Menlo, CA (US) (2017)
  • Menlo Park, CA (US) (2003 - 2024)


Years Active: 1995-2025

where 'Filed Patents' based on already Granted Patents

446 patents (USPTO):

Title: Steven L Teig: Innovating Machine Learning Through Novel Processing Nodes

Introduction:

Steven L Teig, a resident of Menlo Park, CA, is a prolific inventor and innovator in the field of machine learning. With a remarkable track record of 401 patents, Teig has made significant contributions to the development of efficient and expressive machine-trained networks. His groundbreaking work has revolutionized various areas, including face recognition, speech recognition, and more. Let us delve into Teig's latest patents, career highlights, his notable collaborations, and commend his achievements.

Latest Patents:

One of Steven L Teig's recent patents is titled "Machine Learning Through Multiple Layers of Novel Machine Trained Processing Nodes." This invention presents machine-trained networks that employ unique processing nodes with novel activation functions. By utilizing these nodes, the machine-trained networks can efficiently define complex mathematical expressions with fewer layers, enabling the solution of specific problems more effectively. For instance, face recognition and speech recognition have significantly benefited from these advancements. This patent demonstrates Teig's commitment to enhancing the efficacy and practicality of machine learning technologies.

Another notable patent from Steven L Teig is the "Circuit for Executing Stateful Neural Network." This invention introduces a neural network inference circuit designed to execute neural networks with multiple nodes that utilize state data from previous executions. The circuit includes computation circuits for executing the neural network and memories for storing state data generated during previous network executions. The stored data assists the computation circuits when executing nodes of the network for a particular input. This patent showcases Teig's innovation in advancing neural network architectures, promoting more efficient and powerful inference mechanisms.

Career Highlights:

Throughout his illustrious career, Steven L Teig has made significant contributions while working with renowned companies such as Cadence Design Systems, Inc. and Tabula, Inc., now known as Akoustis Technologies. His vision and expertise have helped these companies thrive in the field of innovations and patents. Teig's work in machine learning and his ability to bring groundbreaking ideas to life have cemented his position as a leading figure in the industry.

Collaborations:

Steven L Teig has collaborated with esteemed professionals in his journey to bring innovative ideas to fruition. Among his notable collaborations are Andrew Edward Caldwell and Herman Henry Schmit. Working alongside these industry experts has allowed Teig to leverage their collective knowledge and expertise, resulting in groundbreaking technological advancements.

Conclusion:

Steven L Teig's contributions to the fields of machine learning, neural networks, and patent innovations have left an indelible mark on the industry. His commitment to developing efficient and expressive machine-trained networks has paved the way for advancements in various domains. With an impressive patent count of 401 and a renowned career spanning multiple companies, Teig continues to drive innovation and inspire others in the field of machine learning and beyond.

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