William D Ladd

US Patent:

20220214977, Jul 7, 2022

Filed:

Dec 3, 2020

Appl. No.:

17/594151

Inventors:

- Singapore, SG
William Knox Ladd - Raleigh NC, US

International Classification:

G06F 12/14

Abstract:

A system and corresponding method alter memory accesses using machine learning. The system comprises a system controller coupled to a processing system that is coupled to a memory system. The system further comprises a learning system coupled to the system controller. The learning system identifies, via a machine learning process, variations on a manner for altering memory access of the memory system to meet at least one goal. The system controller applies the variations identified to the processing system. The machine learning process employs at least one monitored parameter to converge on a given variation of the variations identified and applied. The at least one monitored parameter is affected by the memory access. The given variation enables the at least one goal to be met, improving the processing system, such as by increasing throughput, reducing latency, reducing power consumption, reducing temperature, etc.

US Patent:

20230078599, Mar 16, 2023

Filed:

Oct 28, 2022

Appl. No.:

18/050788

Inventors:

- Singapore, SG
William Knox Ladd - Raleigh NC, US

International Classification:

B60W 60/00
B60W 40/11
B60W 40/112
B60W 40/114
B60W 50/04
G06N 3/04
G06N 3/08

Abstract:

A system and corresponding method for autonomous driving of a vehicle are provided. The system comprises at least one neural network (NN) that generates at least one output for controlling the autonomous driving. The system further comprises a main data path that routes bulk sensor data to the at least one NN and a low-latency data path with reduced latency relative to the main data path. The low-latency data path routes limited sensor data to the at least one NN which, in turn, employs the limited sensor data to improve performance of the at least one NN's processing of the bulk sensor data for generating the at least one output. Improving performance of the at least one NN's processing of the bulk sensor data enables the system to, for example, identify a safety hazard sooner, enabling the autonomous driving to divert the vehicle and avoid contact with the safety hazard.

US Patent:

20160238266, Aug 18, 2016

Filed:

Jan 22, 2016

Appl. No.:

15/004739

Inventors:

- DAVIDSON NC, US
WILLIAM FRANKLIN LADD - RALEIGH NC, US

International Classification:

F24F 11/00
F24F 11/06
G05B 15/02

Abstract:

A system and method of optimizing water cooling system energy efficiency, including a monitoring device to receive heat data corresponding to heat energy of a unit of water associated with a recirculating water system, power data corresponding to power being applied to the system, and load data corresponding to a load associated with the system. The monitoring device determines a measured metric by calculating a measured rate of water traversing the recirculating water system based on the heat data and determining a ratio of the power data and the measured rate of water. The monitoring device determines an efficiency metric of the system by comparing the load data to a look-up table and, based thereon, calculates a key performance indicator of the recirculating water system as a ratio of the efficiency metric and the measured metric, which is output to a graphical user interface.