Gattikon, Switzerland

Kumudu Geethan Karunaratne

USPTO Granted Patents = 7 

Average Co-Inventor Count = 5.7

ph-index = 2

Forward Citations = 10(Granted Patents)


Location History:

  • Zurich, CH (2022)
  • Gattikon, CH (2021 - 2024)

Company Filing History:


Years Active: 2021-2024

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7 patents (USPTO):

Title: Innovator Spotlight: Kumudu Geethan Karunaratne

Introduction: Kumudu Geethan Karunaratne, an adept inventor based in Gattikon, Switzerland, has garnered recognition for her innovative contributions to the fields of artificial intelligence and neural network systems. With a remarkable portfolio of seven patents, she stands at the forefront of technological advancements, applying her expertise to solve complex problems through novel solutions.

Latest Patents: Among her latest patents, two stand out for their creativity and functionality. The first, titled "Memory-augmented neural network system," describes a methodology that classifies a query information element by leveraging the similarity between this query and a set of support information elements. The unique aspect of this patent involves transforming similarity scores with a sharpening function, which allows scores to decrease in response to negative similarities and increase with positive ones, ultimately determining the class of the query based on these transformed scores.

The second patent, "Representation of an ordered group of symbols by hypervectors," presents a systematic approach to representing a sequence of symbols utilizing hypervectors. This process entails applying multiple circular shift operations on the hypervector associated with each symbol, resulting in an output hypervector that effectively encapsulates the ordered group's representation.

Career Highlights: Kumudu has had a distinguished career, notably working with prestigious organizations such as the International Business Machines Corporation (IBM) and ETH Zurich (Eidgenössische Technische Hochschule Zürich). Her experiences within these esteemed institutions have significantly broadened her technical prowess and insight into advanced research methodologies.

Collaborations: Throughout her career, Kumudu has collaborated with notable peers, including Manuel Le Gallo-Bourdeau and Giovanni Cherubini. These partnerships have played a pivotal role in fostering innovation and knowledge exchange, contributing to her impressive body of work in the realm of technology.

Conclusion: Kumudu Geethan Karunaratne exemplifies the essence of innovation, driving the evolution of neural networks and representation methodologies. With her continued dedication to research and development, she undoubtedly paves the way for future advancements. Her contributions are not only a testament to her inventiveness but also an inspiration for aspiring inventors around the globe.

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