The "Oldest" AI Company in Williamsburg, founded in 2018. "AI for the people!" is our motto How can AI help you?!
The "Oldest" AI Company in Williamsburg, founded in 2018. "AI for the people!" is our motto How can AI help you?!
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At Williamsburg AI we are daring to create an entirely new branch of science. . Here, we don't imagine AI as a computer program, not even an Algorithm. We see AI as a new branch of science. It is the science of knowledge. How is knowledge discovered? Captured? Stored? Enriched? Applied? Before the AI movement, knowledge was in books and in people, and could not be scientifically collected only inferred. But I see it as a new branch of science, like Physics. It is the science of knowledge and will be taught in schools, as an entirely new discipline.
Revolutions in Science come from great minds who dare to think differently about the world and science. At WAIITT we are defining the components of knowledge and AI and working to develop both the theoretical and physical systems that support Artificial Intelligence as the science of knowledge.
What is knowledge? How is it captured? Where does it come from? Does it physically reside in the world now? How can we store knowledge? How can we retrieve it? Apply knowledge? Are there mathematical formulas and ways to express how knowledge interacts with itself? Can it be destroyed? Lost? These challenges are one of science, and we are working to make an entirely new branch, join us. Change the world.
Before the AI institute can be developed, a common understanding of Artificial Intelligence must be established for our program’s purpose. Unfortunately, AI is a very general idea, that often means something to everyone and almost never results in a common or agreed to understanding. Often it is thought of as an algorithm. For example, people will say I do deep learning, so that is AI. Others will classify AI as machine learning projects. When in principle, these are just portions of an overall system of AI and are more accurately described as an displaying a characteristic of an AI solution.
At Williamsburg AI Institute of Technologies and Training, we do not consider AI to be a computer program, or an algorithm. We see AI as a branch of science that’s focus is on knowledge versus other sciences who may focus on chemicals, atoms, biological life, plant life, oceans, atmosphere. AI is all about knowledge and the complexities of capturing, creating, storing, and applying it to the physical world. The more traditional branches of science, even computer science are well known and accepted, but Artificial Intelligence is not yet recognized as a science and may not be accepted as such. But based on our research, application and design of AI solutions, we have found that thinking of AI as a science for Knowledge is useful construct and has led to discoveries like the minimum calculations needed to find ground truth. Can truth be found? What is truth? Can it be captured, calculated, stored, and applied to the real world. When you try to describe knowledge with the same granularity as describing the movements of planets or the structure of atoms, you start to create a theoretical framework that allows the builders of AI systems to succeed. Not unlike Euclid’s Geometry, new proofs, rules and exact language is needed to describe knowledge as a scientific concept, it is at this point the AI solutions build in computer infrastructure will break through and begin a transformation in utility and productivity.
This concept allows us to create both theoretical and applied branches of AI. In the theoretical branches we can work to define knowledge. What is knowledge? What are the components? How is knowledge different than information, data, truth? Can knowledge be captured? Can it be lost? How do you apply knowledge? How are knowledge and learning related? Are there different forms of learning? Can AIs and people both learn from each other?
AI Systems must have the following components to be successful
Most AI techniques today fall into this feature. Deep Learning, Neural Net, Linear Regression are designed and built to find the features automatically. For this step, the area needs data and computer algorithms and programming to try to discover new features of data that were previously not know.
Think visually about a network of nodes that are relevant to your domain or track that represent years of expertise. Each node has some decision that has to be made, using probabilities to allow one or many nodes to execute next. Among people, this is a physical drawing of decision trees that experts use in their work but will become automated so the expertise can run at scale
There must be a structure designed to capture knowledge from both people, references and even calculations. This is where your Track will place some “original” knowledge for putting the features into the perspective of knowledge.
How does the system understand, receive and become modified with feedback? Think about the Farmers, the Land, the plants, where does their feedback go in the knowledge and how does the feedback influence future decisions ?
Within any system there are events, often a series of events will become problematic or lead to success or have not affect of all. Which event sequences are important to your area? Which event sequences do you “think” might be?
John Vaughan cares about people and believes AI can help people achieve their dreams. John has consulted with businesses and governments throughout the world in nearly every area of operations. Founder Innovator with IBM and Watson, Partnered with University of Maryland on their first AI Institute Proposals to the National Science Foundation. Lead AI transformations at UPS. Community AI Activist with WAIITT Sports to support Athletes. Invented solutions, strategies and has developed some of the best AI solutions and methods in the industry. A true believer in knowing that every problem has a solutions if you just look at it differently. Coined terms like Cognitive Analyst, MiHi, Cognitive Affinity Triangle, The Answer is more Important than the Questions, IEVPL for better data! if nobody asks a question, nobody is listening. First known design of the super intelligence for AI, Coined IRDGR process for Analytics.
Seeing the world in a unique way is a gift, that allows the best scientists to know a solvable problem when they hear about it.
Dreaming big and understanding how experts think, is a skill that only comes with talent. Be the first in the world to achieve excellence in the coolest jobs t "Cognitive Analyst" is one of the most interesting jobs in the last 50 years.
You have been invited to a big deal! Are you ready? Want to do a dry run? Want to have your ideas upgraded? Get your team ready to pitch and win a deal? You will enjoy our creative and instructive support.
Our teams provide a blueprint strategy for your AI solutions that ensures you not only solve key questions, but can build a cognitive pipeline to finally achieve the vision of your project.
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