Many people are unaware that artificial intelligence is already used in several daily life applications as well as popular sectors.
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Artificial intelligence is the intelligence demonstrated by machines or robots, as opposed to the natural intelligence displayed by humans or animals. It applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, and decision trees. AI recognizes patterns from vast amounts of quality data providing insights, predicting outcomes, and making complex decisions.
There are 3 types of artificial intelligence:
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Here are the most popular subsets of artificial intelligence:
Machine Learning is a subset of AI that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa and Apple’s Siri improve every year thanks to constant use by consumers coupled with the machine learning that takes place in the background.
Deep Learning is a subset of machine learning that uses advanced algorithms to enable an AI system to train itself to perform tasks by exposing multilayered neural networks to vast amounts of data. It then uses what it learns to recognize new patterns contained in the data. Learning can be human-supervised learning, unsupervised learning, and/or reinforcement learning, like Google used with DeepMind to learn how to beat humans at the game Go.
Natural Language Processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
Expert System: In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
Robotics is an interdisciplinary field that integrates computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans.
Machine Vision is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry.
Speech Recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers.
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It is critical for leaders and employees alike to develop a firm understanding of the fundamental differences between AI, ML, and DL. The increasing levels of business insights that can be gained from a shared understanding of AI is evident when understanding exactly how these ever-growing, disruptive technologies can be harnessed by your organization.
Here are some surprising areas that rely on artificial intelligence and that most people overlook:
Artificial intelligence is already surpassing humans in some domains. They can beat us at many strategy games like chess, the board game Go, and some Atari video games. Machines can even perform surgery and fly airplanes. Robo-traders can also outperform some of the best traders in Wall Street.
Superintelligence largely depends on its causal power to detect, identify, process, compute, remember and manipulate any number of causal variables from any environment, physical, mental, digital, or virtual.
Apple, Google, Amazon, Microsoft and Facebook are still working on an advanced artificial intelligence that could potentially surpass the human mind.
Last year, a generally unknown i-company, EIS Encyclopedic Intelligent Systems LTD, has successfully completed its unprecedented research and development (R&D) of the Transdisciplinary AI Model as a Real-World AI or a Causal Machine Intelligence and Learning, trademarked as Causal Artificial Superintelligence (CASI) GPT Platform complementing human intelligence, collective and individual. The company has spent zero public funding and private investment for the outstanding discovery, which is set up to change the ways the world works, relying only on its own resources.
EIS is building/engineering a Real AI GPT Platform. It is open to the large public and private investors from the EU, USA, China, Russia, UK and socially responsible big tech companies, to develop Proof-of-Concept/Mechanism/Principle Prototype that can demonstrate the CASI feasibility for a full-scale global deployment.