Abstract

  Today, artificial intelligence (AI) is capable of learning from its experience through the element of its Machine Learning (ML) in conjunction with Deep Learning (DL) component and using them to adjust to new input and perform human-like performance, or at least to complement and enhance human abilities. Because of this capability, it pervades every aspect of the enterprise in the years to come. That is why we believe AI, Automation, and Analytics are central to the success of the enterprise and encompass critical business areas, including data, business processes, the workforce, and risk and reputation.
The vision for AI should be guided by innovative thinking - with the long-term objective of enhanced or new, business strategies, and models. The generation of computers known as Quantum Computer (QC) with a quantized technical approach processing unit is opening a new door toward the next generation of AI, which we have introduced to as Super Artificial Intelligence (SAI). Thus, the trend certainly is there, and although these generations of SAI and QC are supposedly are making our life easy to deal with in this fast paste technically growth, yet they are in a serious race with their inventors known as Human. One other adverse effect of AI on humans with it thrive toward SAI is increasing human depression, and some details are presented here in this article as well.

Keywords:Artificial Intelligence; Human Intelligences; Industry and Artificial Intelligence; Machine Learning; Deep Learning; Quantum Computer; Super Artificial Intelligence

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Citation

Citation: Bahman Zohuri and Farhang Mossavar Rahmani. “Artificial Intelligence Versus Human Intelligence: A New Technological Race".Acta Scientific Pharmaceutical Sciences 4.5 (2020): 50-58.