Posts in category

Data Science


Big data analysis has long supported major feats in physics and astronomy. But more recently we’ve seen it underpin breakthroughs in the social sciences and humanities. Since the landmark paper Computational Social Science was published in 2009, a new generation of data analytics tools has given researchers insight into fundamental questions about how we communicate, …

Within years, the deployment of Artificial Intelligence, also known as AI, to execute human tasks is becoming rampant. To save much time and ensure productivity, humans seek other means of executing difficult tasks without wasting so much effort. In search of a credible solution, we resorted to the adoption and integration of AI technologies. Artificial …

How many of you have read the book Frankenstein by Mary Shelley or watched the 1920 fictional play R.U.R. (Rossum’s Universal Robots) by Karel Capek? If you haven’t and you have an inclination towards Artificial Intelligence, you must. That’s where I see the roots of artificial intelligence, stepping out through creative brains. Perhaps, many industry …

We have all been down the same train of thought regarding artificial intelligence, thanks to sci-fi films peppered throughout the history of Hollywood: Artificial intelligence is too dangerous. However, as time has proven over and over again, humankind is unable to duplicate the same kind of AI that we see in the movies..yet. Any attempt …

Over the past five years, there has been an increase in research and development related to the use of artificial intelligence (AI) in health sciences education in fields such as medicine, nursing and occupational therapy. AI-enhanced technologies have been shown to have educational value and offer flexibility for students. For example, learning scenarios can be …

Introducing Semantic Data Science (SDS), an intelligent automation system for augmenting data to build AI solutions with domain knowledge that typically requires the painstaking efforts of skilled data scientists. Introducing Semantic Data Science (SDS), an intelligent automation system for augmenting data to build AI solutions with domain knowledge that typically requires the painstaking efforts of …

Significant hurdles leaders face this year embrace managing expertise, formulating methods, operational plans, and organizing worker duties in ways in which guarantee everybody accesses progress alternatives. These challenges emphasize the significance of fine technique, and are important for organizational survival. Vijay Pereira, Professor and head of division of individuals and organizations, at NEOMA Business School …

AS ALGORITHMS ANALYZE MAMMOGRAMS AND SMARTPHONES CAPTURE LIVED EXPERIENCES, RESEARCHERS ARE DEBATING THE USE OF AI IN PUBLIC HEALTH. John Quackenbush was frustrated with Google. It was January 2020, and a team led by researchers from Google Health had just published a study in Nature about an artificial intelligence (AI) system they had developed to analyze mammograms for …

A new survey by Ipsos for the World Economic Forum explores attitudes towards artificial intelligence (AI) in 28 countries around the world. The survey found that nearly two-thirds of adults expect products and services using AI will profoundly change their daily lives in the next 3-5 years. It also highlights differences between emerging and high-income …

The challenge is putting people first in any and all AI projects. AI practitioners provide recommendations for building a people-centric, yet AI-driven culture. As the people charged with designing, building, and deploying artificial intelligence — from data engineers to developers — recognize, AI is a powerful mechanism for amplifying human knowledge, skills, and efficiency. But …