AI, The Intelligent, Deliberate and Adaptable
Nile University - NilePreneurs
NilePreneurs is a national, fast growing, initiative funded by Central Bank of Egypt, and implemented by Nile University
Artificial intelligence (AI) is a broad tool that allows people to rethink how they combine data, analyze it, and use its ensuing insights to make better decisions—and it’s already affecting every aspect of life. Although no totally specific definition exists, AI is widely understood to refer to “machines that respond to stimulus in the same way as people do, given the human ability for deliberation, judgement, and intention”. These software solutions, according to academic experts, “make decisions that ordinarily demand a human skill” and assist individuals in anticipating difficulties or dealing with challenges as they arise. As a result, they act in a deliberate, intelligent, and adaptive manner.
Deliberation
Artificial intelligence algorithms are created to make decisions based on data that is often updated in real time. They differ from passive machines, which are limited to mechanical or preset responses. They combine data from a number of sources using sensors, digital data, or remote inputs, evaluate the material in real time, and act on the insights gained from the data. They are capable of considerable sophistication in analysis and decision-making thanks to massive increases in storage systems, computing speeds, and analytic approaches.
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Intelligence
Machine learning and data analytics are frequently used in conjunction with AI. Machine learning examines data for underlying patterns. Software designers can utilize this information to evaluate specific difficulties if it notices something that is relevant to a practical problem. All that is required is data that is sufficiently stable for algorithms to recognize valuable patterns. Digital information, satellite images, visual information, text, and unstructured data are all examples of data.
Adaptability
As they make decisions, AI systems have the potential to learn and adapt. Semi-autonomous vehicles, for example, have features that warn drivers and vehicles of approaching traffic congestion, potholes, highway construction, and other potential traffic barriers. Vehicles can benefit from the experience of other vehicles on the road without the need for human intervention, and the entire corpus of their gained “experience” is instantly and completely transferable to other vehicles with similar configurations. Their complex algorithms, sensors, and cameras are based on existing operations, and they use dashboards and visual displays to show information in real time so that human drivers may make better decisions.
Electronics and Communication Engineering Student | Arduino & Python Enthusiast | Robotics Innovator
3 个月I completely agree. Increasing awareness about the importance of integrating AI into our lives is essential.