Kayla Wiles

Kayla Wiles, Purdue University


Courtesy: Rebecca McElhoe, Purdue University
Edge Computing, Embedded Systems February 10, 2022

Method developed to let AI learn, retain information

Purdue University researchers have developed a way that could let computer chips rewire themselves to take in new data like the brain does, helping artificial intelligence (AI) to keep learning over time.

By Kayla Wiles
Courtesy: Kayla Wiles, Purdue University
Edge Computing, Embedded Systems October 1, 2021

How sea slugs can create better artificial intelligence systems

Researchers have discovered quantum material for artificial intelligence (AI) systems could mimic basic forms of learning found in the sea slug, which could help create better hardware.

By Kayla Wiles
Purdue University researchers are building a probabilistic computer that could bridge the gap between classical and quantum computing to more efficiently solve problems in areas such as drug research, encryption and cybersecurity, financial services, data analysis and supply chain logistics. Courtesy: Gwen Keraval, Purdue University
Industrial PCs March 15, 2021

Computer developed to act more in tune with nature

Purdue University engineers are building a probabilistic computer designed to act more like quantum computers rather than traditional computers.

By Kayla Wiles
Mechanical engineering professor Carlo Scalo and his research team use supercomputers to develop models that efficiently simulate vortex flow phenomena. Courtesy: Rebecca McElhoe, Purdue University
Simulators, Optimizers January 22, 2021

Turbulence model developed to help aircraft capable of handling extreme scenarios

Purdue University researchers have developed a modeling approach that simulates the entire process of a vortex collision at a reduced computational time, which could help aircraft responds appropriately.

By Kayla Wiles
Edge Computing, Embedded Systems November 16, 2020

Applying machine learning to making mechanical parts

An open-source annotated database of more than 58,000 3D mechanical parts has been designed to help researchers apply machine learning to those parts in actual machines.

By Kayla Wiles
Robotics October 8, 2020

Mobile docking system developed for underwater robots

A mobile docking system for autonomous underwater vehicles (AUVs) has been developed to allow vehicles to perform longer tasks without the need for human intervention.

By Kayla Wiles
Mobility October 6, 2020

Algorithms developed to detect COVID-19 from smartwatch data

Purdue University researchers have begun a study that would help determine if biometric smartwatch data could be used to detect signs of COVID-19 early early in asymptomatic users.

By Kayla Wiles
Sensors, Vision July 20, 2020

Enhanced lidar developed for autonomous vehicles

Researchers have built a way to make lidar achieve higher-resolution detection of nearby fast-moving objects through mechanical control and modulation of light on a silicon chip, which could maker autonomous vehicles smarter and more self-aware.

By Kayla Wiles
Edge Computing, Embedded Systems May 13, 2020

Hardware developed for improved artificial intelligence

Purdue University engineers have created hardware that can learn skills using a type of AI currently running on software platforms.

By Kayla Wiles
‘Power of Industry’ will propel Hannover Fair 2001 April 21, 2020

Laser treatment designed to kill bacteria on metal surfaces

Purdue engineers have created a laser treatment that kills bacteria on metal surfaces by giving it a different texture, which could be used for medical device manufacturing processes.

By Kayla Wiles
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