London, United Kingdom

Hasuk Song

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: The Innovations of Hasuk Song

Introduction

Hasuk Song is a prominent inventor based in London, GB. He has made significant contributions to the field of neural networks, particularly through his innovative patents. With a total of 2 patents, Song continues to push the boundaries of technology and artificial intelligence.

Latest Patents

One of Hasuk Song's latest patents is focused on gated attention neural networks. This system is designed to receive an input sequence and process it to generate an output. The attention neural network includes an attention block that receives a query input, a key input, and a value input derived from an attention block input. The attention block features an attention neural network layer that applies an attention mechanism to these inputs, generating an attention layer output. Additionally, a gating neural network layer applies a gating mechanism to both the attention block input and the attention layer output, resulting in a gated attention output.

Career Highlights

Hasuk Song is currently employed at DeepMind Technologies Limited, where he continues to develop cutting-edge technologies. His work focuses on enhancing the capabilities of neural networks, contributing to advancements in artificial intelligence.

Collaborations

Some of Hasuk Song's notable coworkers include Emilio Parisotto and Jack William Rae. Their collaborative efforts contribute to the innovative environment at DeepMind Technologies Limited.

Conclusion

Hasuk Song's contributions to the field of neural networks and artificial intelligence are noteworthy. His patents reflect a deep understanding of complex systems and a commitment to innovation. As he continues to work at DeepMind Technologies Limited, the impact of his inventions is likely to grow even further.

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