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Tech on Tap: The Road to Artificial General Intelligence

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What if wireless networks could understand what you mean, not just transmit data? Walid Saad, professor of electrical and computer engineering, explores semantic communication and how AI-powered networks could reduce data loads, boost reliability, and enable instant, human-like understanding. 
If you know anything about wireless computing, you know something about Dr. Sa. Waleed does just about everything that touches wireless in various ways. So it's my pleasure to introduce Dr. Waleed Sa. One of the biggest challenges in wireless networks like 6G is the ability to leverage the amount of spectrum and bandwidth that you have. So we have very little bandwidth and a lot of applications that use that matters. Tonight we'll explore the concept of semantic communication, which is the idea that we are allow the network using AI to understand the structure of the data and then send less but do more with that less. I think AI will change somewhat the fabric of wireless networks, so they will be transformed from networks that only provide you with a way to communicate to networks that could provide intelligence functions like, you know, think of a company like Tesla, they need an AI assistance. The network is everywhere, so they can ask for AI functions through the network. So this blending of wireless and AI, I think the community calls it AI native wireless. I like to call it also wireless native AI. There's three probably messages. The first one is that next generation wireless networks will have to embed AI in their fabric. So it's not just an add-on to change some functions. Second is that the question for us is not is AI useful or not, but what type of AI do we need? And the type of AI that we will need is very different from what you have in ChatGTT. It's not data intensive, it's actually doing more with very little data. And third is this concept of transforming wireless networks from communication providers to intelligence providers.