Press Release: Machines Learning to Heal using AI

Proper Access and Arizona State University partner to develop an AI machine learning solution that will give WiFi Networks the ability to self-heal.

"Proper Access is interested in how we can strategically leverage AI and machine learning to develop an end-to-end WiFi solution that will allow networks the ability to self-heal." Said, Sean Matthew O'Brien, Proper Access current CEO.

Proper Access partnered with Arizona State University in the Capstone Project. Through this collaboration they will be working with Arizona State University Senior Lecturer, Ryan Meuth and a team of select PHD Candidate students to develop towards that goal.

"As a first step, we hope to utilize that information to gain an understanding of what is currently being analyzed in the world of WiFi using AI. We're also interested in how we can utilize that information in order to not only heal our own networks but also understand how we can utilize that data to create predetermined actions that will enhance how these systems operate within their unique deployment topologies." Sean added.

It looks as if this project is more of an opportunity to gain an understanding of what is being done in the world of Artificial Intelligence research on WiFi Networks, and how networks can use that information to further optimize. It's another step in Proper Access development toward a WiFi solution that is truly, no worries WiFi.

For more information, the website is ProperAccess.com and you can reach out to the press liaison at:

440.462.1303

Spencer Proper

WiFi, Smart Home, Technology.

http://www.properaccess.com/
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