Facebook Twitter Linkedin
Sign in
Sign In

Featured

FeaturedTranslation
Boris Menin

Maximizing Mass-Energy and Information-Energy Equivalences

The concept that information possesses mass carries significant implications for our understanding of the universe. It suggests that the universe is even more enriched with information than previously believed, as the energy required to store information is directly proportional to its mass. This realization expands our perspective on the nature of information and its role in shaping the fabric of reality. Moreover, it has practical implications for future technologies, particularly in the domain of quantum computing.

Read More
FeaturedTranslation
Kate McDowell

Future Applications for Data Storytelling Toolkits

When it comes to translating data as evidence into compelling and memorable arguments, many people need some guidance about how to approach crafting a story. There is great potential for toolkits that would provide such guidance, giving advocates and data analysts tools for communicating data in story form. Data Storytelling is an emerging area in the information sciences, and the term as used here means any form of communication of data that uses narrative strategies or story structures.

Read More
FeaturedTranslation
Andrzej M. J. Skulimowski

Sustainable Technological Development Planning of Artificial Intelligence-Based Learning Platforms (AILPs)

To date, the selection of AI tools has lagged behind work on other software-specific aspects of modern learning platform development. We designed a novel technology relevance assessment methodology based on an expert Delphi survey and multicriteria analysis. Then, we applied the results to plan further development of the prototype platform and to build its exploitation strategy. The lessons learned while planning and developing this platform can be applied to a large class of similar systems.

Read More
FeaturedOriginal
Bob Glushko

Seven Ways That Data Science Projects Fail

The pragmatic value of data science for solving business problems has made it a rival or replacement for information science from an industry perspective. I reviewed numerous data science projects and interviewed numerous data science experts to understand the factors that make projects successful, but this work also revealed—by counterfactual reasoning and some confessions from the experts—why some data science projects fail. I identified seven causes of failure and I explain here how “information science thinking” can prevent or lessen these problems in data science projects.

Read More
FeaturedOriginal
Hamid Reza Saeidnia

Open AI, ChatGPT: To Be, or Not to Be, That Is the Question

Some consider ChatGPT smarter than humans, some call it destructive technology, and others consider it a great helper for writing scientific and research studies. The world of artificial intelligence shows that it is very exciting and that this technology can help humans at a very high level in any field, a subject that was considered science fiction in the past decades. But now it is a part of reality.

Read More
EditorialFeatured
Chirag Shah

The Questions We Are Not Asking Enough About AI

There are plenty of hopes and hypes about AI these days, but what is often lacking in these conversations is a set of questions that are more fundamental than what AI could, should and would do. These questions are about what we consider as intelligence, free will, and indeed what it is to be a human. The answers are not going to be easy or fast, but starting to ask these questions could help pave the way for not just the future of AI, but also the future of humankind.

Read More