Edgewater, Australia

Milind Joshi

This inventor holds 2 USPTO granted patents. Top assignee: Brainchip, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Milind Joshi. Retrieved from https://idiyas.com/inventor/milind-joshi-jukg5fqp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 50.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Milind Joshi: Innovator in Convolutional Spiking Neural Networks

Introduction

Milind Joshi is a prominent inventor based in Edgewater, Australia. He has made significant contributions to the field of neural networks, particularly through his innovative patent that enhances the functionality of convolutional spiking neural networks. His work is pivotal in advancing the capabilities of artificial intelligence systems.

Latest Patents

Milind Joshi holds a patent titled "Event-based extraction of features in a convolutional spiking neural network." This patent describes a sophisticated system that includes a memory for storing data representative of at least one kernel, a plurality of spiking neuron circuits, and an input module for receiving spikes related to digital data. The system is designed to transform kernels and input spike arrays to produce higher resolution outputs. Additionally, it features a packet collection module that organizes collected spikes based on their spatial coordinates, enabling efficient event-based convolution processing.

Career Highlights

Milind Joshi is currently associated with Brainchip, Inc., where he applies his expertise in neural networks to develop cutting-edge technologies. His work at Brainchip focuses on enhancing the performance and efficiency of spiking neural networks, which are crucial for various applications in artificial intelligence.

Collaborations

Milind has collaborated with notable professionals in his field, including Douglas McLelland and Kristofor D Carlson. These collaborations have contributed to the advancement of research and development in neural network technologies.

Conclusion

Milind Joshi's innovative work in convolutional spiking neural networks exemplifies the potential of artificial intelligence technologies. His contributions are shaping the future of neural network applications and enhancing the capabilities of machine learning systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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