Seattle, WA, United States of America

Alessandro Palla

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.2

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Alessandro Palla

Introduction

Alessandro Palla is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of machine learning and volumetric data processing. With a total of two patents to his name, Palla's work showcases his expertise and innovative thinking.

Latest Patents

One of Palla's latest patents is a deep learning system designed to enhance various aspects of machine learning models. This system involves accessing a substantially photorealistic three-dimensional (3D) graphical model of an object and generating a set of training images that add imperfections and degrade the photorealistic quality. These training images are then used to train an artificial neural network. Another notable patent is related to density coordinate hashing for volumetric data. This invention identifies a particular voxel within a volume and utilizes a hash table to obtain volumetric data describing that voxel. The process involves determining x-, y-, and z-coordinates associated with the voxel and calculating an index value based on a hashing algorithm.

Career Highlights

Throughout his career, Alessandro Palla has worked with prominent companies such as Movidius Limited and Intel Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in technology and machine learning.

Collaborations

Palla has collaborated with notable individuals in his field, including David Macdara Moloney and Jonathan Byrne. These collaborations have contributed to the advancement of his projects and innovations.

Conclusion

Alessandro Palla is a notable inventor whose work in machine learning and volumetric data processing has led to significant advancements in technology. His patents reflect his innovative spirit and dedication to enhancing the capabilities of machine learning systems.

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