Artificial Intelligence Revolution
Artificial intelligence is the ability of machines to execute functions that generally are associated with human intelligence. Psychological activities performed by artificial intelligence techniques include cognitive and analytical activities. They include problem solving, perception patterns, understanding language, answering questions, proving theorems, and learning from experience.
Machine learning is a core part of artificial intelligence. Learning without any kind of supervision requires an ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory.
Machine learning is used to make predictions to improve patient care, avoid credit card fraud, manage financial portfolios, etc.
Deep learning is a specific approach used for building and training neural networks, which are considered highly promising decision-making nodes. An algorithm is considered to be deep if the input data is passed through a series of non-linearities or nonlinear transformations before it becomes output. In contrast, most modern machine learning algorithms are considered “shallow” because the input can only go only a few levels of subroutine calling.
Deep learning makes training the neural network easier and faster, and it can yield a better result that advances the field of artificial intelligence.
The Development of Artificial Intelligence
Artificial intelligence was founded as an academic discipline in 1956. The Dartmouth Conference of 1956 proposed that “every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it.” .
The Conference was the moment that artificial intelligence gained its name, its mission, its first success and its major players, and is widely recognized as the birth of artificial intelligence.
The years after the Dartmouth conference 1956-1974 were an era of discovery, of sprinting across new ground, and are considered the golden years of artificial intelligence. There were many successful programs and new directions during this period, Among the most influential were these: reasoning as search, natural language, micro -worlds, robotics. In the 1970s, artificial intelligence was criticized and financially frustrated.
Artificial intelligence researchers failed to realize the difficulties they faced. artificial intelligence experienced the first winter, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an “The Second artificial intelligence winter”), followed by new approaches, success and renewed funding.
In the twenty-first century, artificial intelligence technology advanced gradually following concurrent advances in computer power, Big data, and theoretical understanding.
Also artificial intelligence techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research.
In December 2016, The Guardian declared the year 2016 as “the year artificial intelligence came of age.” And reports that “Over the course of 2016, artificial intelligence made the leap from ‘science fiction concept’ to ‘almost meaningless buzzword’ with alarming speed,” Artificial intelligence has become increasingly proficient in performing intricate human tasks.
Nowadays, artificial intelligence is beginning to play a key role in helping people achieve their goals. Artificial intelligence has brought concrete improvements to the operation of the enterprise. It also demonstrates the ability to enrich our culture and add joy to our daily lives. Research and innovation are indispensable for promoting the contribution of artificial intelligence technology in our global society.
In conclusion, the emergence of the artificial intelligence revolution has brought unprecedented challenges to today’s ethical standards, legal rules, social order and public management systems. The patent system protects inventions. At present, the implicit requirements for judging patent eligibility may be inconsistent with the nature of artificial intelligence technology and it cannot be adequately protected under current patent review rules.
In order to increase the possibility of patents entitled of artificial intelligence related inventions, patent applicants should focus their construction of the claims to manifest what technical problems the invention are solving and identify the specific improvements that the claims are making.