Intel Corporation

Qualcomm Incorporated

Naveen Gandham Rao

Tony Lee Werner

Amir Khosrowshahi

Andrew Yang

Carey Kevin Kloss

Michael Campos

Aravind Kalaiah

Yinyin Liu

Horace Lau

Prashant Arora

A method of dynamically modifying target selection with a neural network includes dynamically modifying a selection function by controlling an amount of imbalance of connections in the neural network. A selected neuron represents one of multiple candidate targets.

Dynamic spatial target selection

Described herein are methods, systems, and apparatuses to utilize a matrix operation by accessing each of the operation's matrix operands via a respective single memory handle. This use of a single memory handle for each matrix operand eliminates significant overhead in memory allocation, data tracking, and subroutine complexity present in prior art solutions. The result of the matrix operation can also be accessible via a single memory handle identifying the matrix elements of the result.

Matrix operands for linear algebra operations

Described herein are one or more integrated circuits (ICs) comprising controller circuitry to receive a command to execute an operation for data inputs stored in an external memory or a local memory, and convert the operation into a set of matrix operations to operate on sub-portions of the data inputs. The IC(s) further comprise at least one processing circuitry to execute the set of matrix operations, the processing circuitry to include ALUs, a local memory external to the ALUs and accessible by the ALUs, and processing control circuitry to create at least one matrix operand in the local memory (from the data inputs of the operation) comprising at least one of a scalar, a vector, or a 2D matrix, and provide memory handles corresponding to each of the matrix operands to one of the ALUs to access the respective matrix operands when executing a matrix operation.

Pipelined convolutional operations for processing clusters

A method for coordinate transformation in a spiking neural network includes encoding a first positional representation as phase information in the spiking neural network. The method also includes shifting the phase information to modify the first positional representation into a second positional representation.

Phase-coding for coordinate transformation

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San Diego, CA, United States of America

Naveen Gandham Rao