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With regard to disruptive technologies, nothing is more at the present time than artificial intelligence or artificial intelligence, because it is the only one in the world. one of those technologies that we know will have a commercial, economic and social model impact as well as our own personal lives. Artificial intelligence is only part of the wider field of data science, where the art of ' extract value or commercial data from the data Is simply the simplest. John McCarthy in 1956, the concept of computers performing cognitive functions to reflect those of humans has existed for decades. The article by the English mathematician Alan Turing's "Computing Machinery and Intelligence," published in 1950, posed the question "Can machines think?" And introduced the "Turing test," a model of measurement. ;intelligence. Called "the game of imitation", it gave an idea of the idea that machines could go beyond logical thinking and cognitive thinking using skills such as learning , reasoning and memory. , understanding and deduction / inference.
Despite decades of progress, it is generally believed that only one computer has pbaded the Turing test (a long-term goal of AI researchers), ie the ability to 39, to successfully imitate human behavior. The fact that it is indistinguishable from human responses, even by expert judges.
But if the AI has been around for so long, why the big fuss now? Well, because suddenly, AI seems much more accessible, moving it from science fiction to plausible reality. This is mainly due to …
- Advances in Processing Power or Computing Infrastructure
- The Internet of Things (IOT) – Billions of Connected Devices
- The availability of large amounts of data
- Ability to handle unstructured data (images, video, etc.)
The problem I see now is that in the global race to adopt the IA and get the benefit of the first-come, people and companies are trying to solve non-AI problems with AI solutions. sufficient. It is not that there is a lack of understanding of the problem to be solved, but rather that there is an urgent desire to create case studies in order to experiment and develop a mastery of AI. Time and time again, I hear people use the words artificial intelligence when they really mean RPA (Robotic Process Automation), visual inspection systems, general robotics and so much more.
As I watched the football world cup It seemed to me that much of the terminology of data science could be easily illustrated with the help of nesting dolls Russian (also called babushkas or matryoshkas), in the sense that artificial intelligence is a wider field. systems become more and more "human" as you go.
Figure 1.0 Hierarchy of the data sciences
FIG. 2.0 Definitions of Data Science
In machine learning, the idea that machines would learn new things independently of humans by explicitly programming them, would mean that they essentially become what we call "smart". Despite great progress, it is not as easy as it may seem. Even teaching computers to distinguish similar images is complex because what we see as identifiable markers (color, shape, distribution, etc.) is not so obvious (or more importantly, not so unique) seen by a computer logic and lens statistical data. This was illustrated in a viral tweet a few years ago by Karen Zack (@tinybiscuit) by comparing images of animals and food.
While these examples are fun, this type of misidentification is common and could have profound implications in areas such as precision medicine, vehicles autonomous and science in general.
enter an era where Artificial Intelligence will have a significant impact sooner rather than later as the speed of progress and its uptake increase. It took decades to understand this point in the AI journey, but the next phase might look more like years and as this generation moves forward cautiously with its results, future generations will accept and believe faster, becoming ubiquitous and every day.
Our biggest hurdles could be yet to come, in the form of eliminating prejudices and overcoming legal and ethical challenges, but it's a blog for another day.
Gillian Bergin, Dell EMC and Director it @ cork
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