Dmitri Vainbrand

Title: Innovations of Dmitri Vainbrand

Introduction

Dmitri Vainbrand is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of neural networks and has been awarded three patents for his innovative work. His expertise lies in developing methods and apparatuses that enhance the efficiency of convolutional neural networks.

Latest Patents

One of Dmitri's latest patents is titled "Per kernel Kmeans compression for neural networks." This invention relates to techniques for incremental network quantization. The apparatus described in this patent includes hardware logic that determines a plurality of weights for a layer of a convolutional neural network (CNN) comprising multiple kernels. It organizes these weights into clusters and applies a K-means compression algorithm to each cluster. Another significant patent is the "System and method of encoding and decoding feature maps and weights for a convolutional neural network." This invention provides a processing apparatus that generates output feature map data for a CNN and writes this data to a memory buffer. It includes a direct memory access (DMA) controller that reads the feature map data, encodes it using various algorithms, and writes the encoded data to memory.

Career Highlights

Dmitri Vainbrand is currently employed at Intel Corporation, where he continues to push the boundaries of technology in neural networks. His work has been instrumental in advancing the capabilities of machine learning and artificial intelligence.

Collaborations

Dmitri collaborates with talented individuals such as Michael Behar and Ajit Singh, contributing to a dynamic and innovative work environment.

Conclusion

Dmitri Vainbrand's contributions to the field of neural networks through his patents and work at Intel Corporation highlight his role as a leading inventor in technology. His innovative approaches continue to shape the future of machine learning and artificial intelligence.