This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI).
As AI, ML, 5G, and even 6G evolve, Dr. Walid Saad, professor at Virginia Tech, believes there will be a need for a network of intelligence
In this episode of Tech 2030, we'll explore what new apps are possible if they are integrated as a single system in a network or device
It has become something of a cliché to refer to the data within operator networks as gold that needs to be mined. That doesn’t make it any less true. The challenge is to do that with a laser focus and to do it economically.
Two out of three organisations plan to deploy AI for cybersecurity this year according to Capgemini. There are undeniable concerns, though.
This session of the 6GSymposium addressed the current status of AI and machine learning in the network and issues to overcome in order to reach the levels of pervasive, intelligent systems needed in advanced 5G and 6G networks. Experts from DARPA, Deepsig, Nvidia, InterDigital and UCLA share their thoughts and handle audience questions under the guidance of Northeastern's Kaushik Chaudhary.