Numenta has created optimized algorithms to take advantage of the native AI accelerators in Intel's Zion CPUs. Supertiles been with Numenta since 2005, where he's helped lead two decades of neuroscience research. Numenta is advancing AI with their neuroscience inspired technology and working with Intel's AMX enabled Zion's to make AI more accessible. Please welcome to stage Numenta CEO, Supertie Ahmed. Great to see you. Great to see you. I'm super excited to be here today to tell you a little bit about how at Numenta we're taking our neuroscience-based technologies and applying them to AI and how we're partnering with Intel in that process. The human brain is far larger and much smarter than any AI system available on the planet. What you may not realize is that our brains are actually incredibly efficient. They use only about 20 to 30 watts of power. This is far more efficient than any LLM in any data center today. At Numenta we've been discussing a lot with neuroscientists and doing a lot of research with them and we're now starting to understand the strategies that the brain uses to get these incredible efficiencies. What we're able to do is take that technology and productize it. Our product is called Nupic, the Numenta platform for intelligent computing and quite simply is a groundbreaking AI platform. What it enables you to do is easily deploy LLMs on CPUs, in particular on Intel AMX and enable Zian CPUs. You can deploy them on CPUs better than you can on GPUs. No GPUs are required at all. Let me switch to a technology demo which showcases some of the properties of this technology and then we'll get back to the product itself. We're showing here is on the right Nupic running live on an Intel 5-generation Zian processor. It's the server up in Oregon. The left we're comparing against an Nvidia A100 GPU running the exact same model. The task here is to do vector embeddings of a large collection of documents. Then these vector embeddings can be used to analyze documents, extract answers based on questions, perform Rags, summaries and so on. As you can see here, Nupic running this task was over seven times faster than an Nvidia A100. This type of performance difference is unheard off in the field. Because it's a CPU, there's a lot of other benefits to it. We can actually run dozens of models asynchronously in parallel on the server and we can have dozens to hundreds of clients getting requests from that same server. In the second test that's running, we're running 152 clients that are getting requests from a server. This is a kind of scenario you just cannot do with GPUs. As you can see, Nupic gets over a 17 times speed up compared to an Nvidia A100. This really changes the game of what's possible in deploying AI today. Okay, we can go back to the slides. Okay, great. So there are many, many applications of Nupic. And what I'll show here is a very simple example. Imagine you have to analyze a large collection of customer support tickets and you want to handle them in real time intelligently. We're showing here is an interaction with a customer and an agent and you can see that the customer is pretty unhappy. Now, this might be a very important customer. With Nupic, what you can do is analyze the sentiment of these track transcripts in real time using our BERT models. And then if this is an important customer, you may want to route it immediately to a customer service manager. You can use our GPT models to create a short summary, take that entire transcript, the summary, and route it to a manager where she can take care of and address the customer's needs. And because it's running with our neuroscience inspired technology, the entire application, the models, the application code, everything can run on a single server. Nupic's architecture is extremely simple because it's running, it's installed on a CPU. There is a date, you can take your data and models, you can fine tune them and you can deploy them on AMX enabled Xeon servers. The thing I want to point out here though is the whole application is containerized and can be easily deployed on your infrastructure. So the entire thing runs on your infrastructure or on your customer's infrastructure. We do not run a cloud service, we don't see any of the data or any of the models. It's a completely private and secure platform. So by taking these neuroscience inspired technologies and allowing you to run LLMs on CPUs, we're completely changing the game in AI. You saw that it's incredibly fast, Nupic is ideal for real time deployments of AI. It's extremely flexible, you can run multiple models, application code, all of that on the same server. It's extremely simple to provision. The RIT department in the world knows how to provision an Intel server. It's very scalable, super easy to scale CPU based systems. It's far more cost effective than GPUs. And as I mentioned earlier, it's completely private. You have full controls over your model and data and everything. So we just launched this product a couple of months ago, we're seeing tremendous demand already. If you're interested in integrating this application, this platform into your applications, please send me an email and we'll also be here later to talk more. Thank you. Thanks, Chris. Great, great technology.