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Overview

Cognitive computing is unquestionably the next step in the computer process, which was sparked by automation. This amazing computerized system is designed in such a way that it can deliver exactly what you think and can easily replicate a human brain and the work done by it. With the help of cognitive computing, automated IT models can be created, that can solve complex problems without the need for human intervention. Its decision is constantly evolving in response to new information, outcomes and actions.

The main purpose of cognitive computing is to improve the user’s experience, values and engagement through the use of data and insights. Cognitive systems have the ability to store a large amount of data. These organized and structured data can be used to develop in-depth domain knowledge and offer expert advice. The most sophisticated aspect of cognitive computing is discovery. Finding insights, comprehending enormous amounts of data, and honing skills are all part of the discovery process. With ever-increasing data quantities, there is an obvious need for tools that can assist individuals to exploit data more efficiently than they could on their own. It establishes a standard for computing systems to meet in order to reach the level of the human brain. However, AI has inherent limits that make it difficult to use in circumstances where there is a lot of uncertainty, change, or creativity is required. The quantity of data sources increases the problem's complexity. Aggregating, integrating, and analyzing such unstructured data is difficult. Many technologies should coexist in a complex cognitive system to provide deep domain insights. It is capable of dealing with both dynamic real-time and static historical data. Cost of implementation is one of the biggest challenges of cognitive computing. To overcome this challenge, cloud and app-based systems are being created to make technological trails cheaper. Cognitive computing also faces the challenge of scarcity of data scientists and developers in comparison to the demand created by the current era of big data. This revolutionary computing system also faces the limitation of fear of change in people. As cognitive computing has the ability to learn like humans, people are concerned that robots may one day replace them.

As per the above-stated facts, we can say that Cognitive systems have the potential to revolutionize computing, and they're an area we shouldn't overlook. It is also very tempting to watch an attempt to replicate the working of human minds into the computing system. Machines and humans have discovered an unlimited number of ways to collaborate because of technological breakthroughs. Cognitive computing comes with a lot of challenges but scientists and developers are constantly looking for solutions to battle them. More cognitive computing-based skills are predicted to emerge over time.

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Submission deadline: 28 February 2023

Author notification: within 4 weeks after submission

Revised manuscript due: within 2 weeks after notification

Notification of acceptance: within 2 weeks after revision submission

Tentative accepted paper publication date: within 2 months after final version

Tentative SI paper collection and its web open: 3rd Quarter, 2023 (TBA)

All submitted papers must be clearly written in excellent English and contain only original work. All papers must be submitted in an MS Word. Manuscripts should follow the formatting of the sample manuscript and references. You can refer to the details in the submission menu http://hcisj.com/submission/preparing_manuscript.php All papers and some supplementary materials should be submitted through ScholarOne Manuscripts. The authors must select “SI2022-07 Ensuring Cognitive Computing Technologies”. when they reach the “Article Type” step in the submission process https://mc04.manuscriptcentral.com/hcis