To understand if machines can create art, to analyse the kind of art that can be generated by man-machine collaboration, to ask ourselves whether, as human beings, we're able to appreciate the art produced by Artificial Intelligence or collaborate with it. Arthur I. Miller ground-breaking theory of creativity applies to both humans and machines. He goes on to focus on AI-created art, literature and music. He explores how machines will be able to acquire the characteristics of human creativity - inspiration, suffering, being'out there' in the world, focus, perseverance, discovering new problems and being unpredictable. In the course of this research Miller interviewed over a hundred leaders in the field.

The future won't be made by either humans or machines alone, but by both, working together. Technologies modeled on how human brains work are already augmenting people's abilities, and will only get more influential as society gets used to these increasingly capable machines. Technology optimists have envisioned a world with rising human productivity and quality of life as Artificial Intelligence systems take over life's drudgery and administrivia, benefiting everyone. Pessimists, on the other hand, have warned that these advances could come at great cost in lost jobs and disrupted lives. And fearmongers worry that AI might eventually make human beings obsolete.

It can churn out emails, computer code, internet ads, plotlines for video games, guitar riffs and suggestions for Halloween costumes. It can write disarmingly plausible poems in the spirit of Emily Dickinson, prose in the style of Ernest Hemingway and even, if so instructed, an imaginary conversation between Dickinson and Hemingway. The possibilities seem almost endless. So when I had the opportunity to interact with GPT-3, a new language-generation model that has caused a sensation in the artificial intelligence world over the past few months, I enlisted its help in drafting myself a new biography, infused with the spirit of hero Luke Skywalker. Trained on pretty much all the text accessible on the internet, GPT-3 is remarkable for its speed, scale and versatility.

An interesting concept from literary theory states that if a reader wants to make sense of a text, then he will find an interpretation of that text that is consistent with his own world view, or perhaps more precisely, with his view of the world he supposes the text to concern. Oftentimes, to fulfill such a desire requires the reader to fill gaps in his own knowledge, as well as gaps in the logic or rhetoric of the writer by reading between the lines. In this way, all texts are essentially a dialogue initiated by the writer and continued by the reader, with the reader forming, perhaps erroneously, the intentions of the writer. Upon learning of this concept, I fell enamored with writing poetical nonsense with snippets of text found in books and magazines.ᵃ I was excited by the idea of reader attempting to interpret meaning from my curated words and phrases and by doing so finding his own meaning in the resulting lines; perhaps this excitement is a form of sadism -- I don't know -- but during my cut-and-paste creative process, each poem began to take on a personal meaning to me, so perhaps not.

The New York Times reported that an AI system known as Aristo had become the first to successfully pass a standardized eighth-grade science test. The achievement arrived four years after a competition in which 700-plus scientists all failed to build a system capable of accomplishing the same task despite the incentive of the contest's $80,000 prize. Aristo has been viewed as a significant breakthrough in the evolution of AI technology, with far-reaching implications for natural language processing, business intelligence and more. The system provides a vivid illustration of the differences between human and artificial intelligence. It shows why the most effective AI systems still incorporate help from human experts -- a fact that has big implications for AI in business and other applications. The Aristo system represents a major step toward imbuing AI with what one Wired article refers to as "common sense," the expansive and unconscious background knowledge that we apply when navigating new situations or engaging in conversation.

Artificial intelligence is the embodiment of humanity's efforts to recreate the vast capabilities of the human mind.

According to IDC, 70% of an analyst's time is spent searching for data, and 44% of data workers' time results in unsuccessful attempts. Still, we developed a creative way to embrace the problem while meaningfully connecting the dots to augment the searching woes. We're excited to introduce you to'IQ -- an artificially intelligent writing assistant that saves you time from searching for the content and files you need to do your job. By integrating data, 'IQ helps you work smarter. It makes specific suggestions that fortify your thoughts in real-time.

Human creativity is often described as the mental process of combining associative elements into a new form, but emerging computational creativity algorithms may not operate in this manner. Here we develop an inverse problem formulation to deconstruct the products of combinatorial and compositional creativity into associative chains as a form of post-hoc interpretation that matches the human creative process. In particular, our formulation is structured as solving a traveling salesman problem through a knowledge graph of associative elements. We demonstrate our approach using an example in explaining culinary computational creativity where there is an explicit semantic structure, and two examples in language generation where we either extract explicit concepts that map to a knowledge graph or we consider distances in a word embedding space. We close by casting the length of an optimal traveling salesman path as a measure of novelty in creativity.

New Delhi: The ability and efficacy to harness vast amounts of data and drawing descriptive and predictive analysis, without negating the power of human intelligence, would provide the winning edge in the use of artificial intelligence (AI), a senior IBM executive said on Wednesday. Speaking at a RAISE 2020 event, IBM India and South Asia Managing Director Sandip Patel said the world is at a critical inflection point and there will be use of AI at scale, given the extreme digital acceleration seen amid the COVID-19 pandemic. He noted that several sectors across retail, finance, healthcare and e-commerce are already deploying AI to increase efficiency and productivity, enhance customer service, and build a stronger security cover. "These digital transformation journeys have further accelerated in the wake of the COVID-19 pandemic. As a result, the pace of digital acceleration compressed over a span of 8-10 months is something that would have actually taken years to happen," he said.

It is becoming increasingly clear that there is an infinite number of definitions of intelligence. Machines that are intelligent in different narrow ways have been built since the 50s. We are entering now a golden age for the engineering of intelligence and the development of many different kinds of intelligent machines. At the same time there is a widespread interest among scientists in understanding a specific and well defined form of intelligence, that is human intelligence. For this reason we propose a stronger version of the original Turing test.