Daniel S Stoessel

Title: Innovations by Daniel S Stoessel

Introduction

Daniel S Stoessel is a notable inventor based in Gwatt, Switzerland. He has made significant contributions to the field of incident prediction and response through his innovative use of deep learning techniques. With a total of 2 patents, Stoessel's work is at the forefront of technological advancements in predictive modeling.

Latest Patents

One of Stoessel's latest patents focuses on incident prediction and response using deep learning techniques and multimodal data. In this approach, one or more computer processors receive alerts corresponding to an incident. The processors aggregate these alerts with additional data related to the incident. The aggregated data is then fed into a prediction model, which is trained using independent stacked Restricted Boltzmann Machines, employing both supervised and unsupervised methods. The processors calculate the probability of the incident based on the prediction model's calculations. If this probability exceeds a predefined threshold, the processors send out notifications.

Career Highlights

Stoessel is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in the realm of incident prediction. His work is characterized by a strong emphasis on utilizing advanced computational techniques to enhance predictive accuracy and response efficiency.

Collaborations

Some of Stoessel's notable coworkers include Aaron K Baughman and Christian Eggenberger. Their collaborative efforts contribute to the innovative environment at IBM, fostering advancements in technology and research.

Conclusion

Daniel S Stoessel is a prominent inventor whose work in incident prediction and response showcases the potential of deep learning techniques. His contributions to the field are significant and continue to influence advancements in technology.