Sam Eldin |
Automated Architect-Design and Data Centers for AI©
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Our AI Approaches |
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Conventional AI Approaches |
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• Adaptive Knowledge and Dynamic Cognitive Reasoning Architecture
• Not Statistical Pattern Matching nor Photographic Memory Systems • Machine Learning and Intelligence Engines to Mimic Human-Like Reasoning • Not Supervised Deep Learning Which Heavily Reliant on Labeled Data • Elegant, Multi-Engine Framework Approach • Not Deep Learning By Brute-Force Pattern Search on Expensive Hardware (GPUs) • Focuses on Big Data Conversion into Long Integer Records • Not Costly Labeled Datasets and Use of Large Neural Models (LLMs)Training • AI Architecture is Designed as a Modular Intelligence System • Not a Single Monolithic Predictive Model • Twin Testing Validation Incorporated into Development • Not Testing Following Model Development • Energy Self-Sufficiency AI Data Centers - Ecosystems • Not Very Expensive to build and High Energy Consumption |
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Automated Architect-Design and Data Centers for AI Coming Soon Who we are or who is Sam Eldin: In short, Sam Eldin is a former professor of Computer Science and sole owner of ZebraSoft.com, CRM Data Farm (CRMDataFarm.com) and latest (coming soon) Automated Architects-Designs and Data Centers for AI (AADDforAI.com). We believe we are ahead of our time and the world of AI + IT are playing catchup, but we did not get our change in the spotlight yet. We can only say, our turn or time has not come yet. For example, our Business Program system which we invented over 20 years ago, is what is known today as Machine Learning. Again, for AI system, we have been architecting-designing what we called Intelligence system. The webpages and LinkedIn articles in the next section may shed some lights on our claims. My CV-Resume to the World - SamEldin.com Website Pages for the Knowledge Base: ____________ Documented Pages _________________ 1. Technical Review-Analysis-Development-Twin Testing-Deployment 2. AI Virtual Butler Project Requirement 3. AI Virtual Butler Project Architect-Design 4. VAITMINS Analysis and Architect 5. Machine Learning 6. Artificial Intelligence (AI) 7. AI Business Plan 8. Our AI Virtual Receptionist Systems (Model-Agent) 9. AI Business Plan Videos' Scripts 10. Sam's Investors Presentation Script Introduction YouTube Video ____________ LinkedIn Articles _________________ L1. Global Network of AI Data and Development Centers https://www.linkedin.com/pulse/global-network-ai-data-development-centers-sam-eldin-kbf4f L2. Sam Eldin's Business Plan for Energy Self-Sufficiency AI Data and AI Development Centers https://www.linkedin.com/pulse/sam-eldins-business-plan-energy-self-sufficiency-ai-data-sam-eldin-ftzxf L3. Sam Eldin's Switch-Case Algorithm https://www.linkedin.com/pulse/sam-eldins-switch-case-algorithm-sam-eldin-sbn8f L4. Sam Eldin’s Switch-Case AI Model-Agent (Our AI Virtual Receptionist Systems) https://www.linkedin.com/pulse/sam-eldins-switch-case-ai-model-agent-our-virtual-systems-sam-eldin-dp9sf L5. Sam's Machine Learning https://www.linkedin.com/pulse/sams-machine-learning-sam-eldin-do6jf Difference between us and what is in the AI market: To be blunt, our approaches and our tools of AI systems are totally different than what is running in the market today. We believe our AI approach is the true intelligence and not photographic memory systems where AI system learns through labeling and endless search patterns. According to an internet search, a person with a photographic memory is not necessarily intelligent because memory recall and general intelligence rely on completely different cognitive systems 
Image #1 Intelligence and Photographic Memory Today, AI systems are very impressive when it comes to Text and Graphics which they both are math (a lot very fast-expensive processors which are running behind the scene). Their performance is amazing, but sadly it is not true intelligence. For example, a person with a photographic memory where he would memorize all the questions, answers, ... etc., may sound like he knows everything and impress anyone with quick and accurate answers, but such a person may not have true intelligence. To test such a person, you need to take him out of his confront-zone and watch him sweet in finding answers. Everyone who is using Chatbots knows that, once your request is out of their confront-zone, then you would get a very impressive message that does not answer your question. Plus, these Chatbots would agree with everything you presented. Our audience need to checkout our intelligence approaches in our websites and see for themselves true approaches to intelligence.
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