Skyline University Nigeria

Knowledgebase & Articles

Introduction

Artificial Intelligence (AI) and Quantum Computing are two transformative technologies shaping the future of science, industry, and information systems. AI focuses on developing intelligent systems capable of learning, reasoning, and decision-making, while quantum computing leverages the principles of quantum mechanics—such as superposition and entanglement—to perform computations far beyond the capabilities of classical computers. As the complexity of data and computational problems continues to increase, the integration of AI with quantum computing is emerging as a powerful interdisciplinary field that can revolutionize problem-solving across domains such as healthcare, finance, cybersecurity, and scientific research.

Innovation in Artificial Intelligence

Artificial Intelligence has advanced rapidly through developments in machine learning, deep learning, natural language processing, and neural networks. These technologies enable computers to analyze massive datasets, detect patterns, and make predictions with high accuracy. Recent innovations in AI include generative AI models, reinforcement learning, and autonomous decision-making systems. AI systems are now capable of optimizing complex processes, improving automation, and supporting intelligent analytics in areas such as medical diagnosis, climate modeling, and smart infrastructure. The growth of AI has also increased the demand for faster and more efficient computing systems, which has opened new opportunities for quantum technologies.

 Relationship Between AI and Quantum Computing

AI and quantum computing are closely interconnected and mutually supportive. Quantum computers can potentially accelerate AI algorithms by processing large-scale data and performing complex optimizations at unprecedented speeds. For example, quantum machine learning algorithms can enhance pattern recognition, data clustering, and predictive analytics.

Conversely, AI can help improve quantum computing itself. Machine learning techniques are used to optimize quantum circuits, reduce noise in quantum hardware, and improve error correction methods. AI-driven models can also assist researchers in discovering new quantum algorithms and materials for building stable quantum processors. This symbiotic relationship creates a new research field known as Quantum Artificial Intelligence (QAI), where AI techniques are applied to quantum systems and quantum computing enhances AI capabilities.

Applications and Emerging Impact

The integration of AI with quantum computing has the potential to transform several sectors. In healthcare, quantum-enhanced AI can accelerate drug discovery and genomic analysis. In cybersecurity, quantum algorithms combined with AI can strengthen encryption and threat detection. Financial institutions may use quantum-AI models to optimize portfolios and risk analysis. Similarly, climate science, logistics, and materials science can benefit from faster simulations and predictive models enabled by this technological convergence.

Conclusion

The convergence of Artificial Intelligence and Quantum Computing represents one of the most promising frontiers in modern technology. AI contributes intelligent algorithms and data-driven decision making, while quantum computing provides immense computational power to solve complex problems that classical computers struggle to address. Together, these technologies have the potential to reshape scientific discovery, industrial innovation, and digital infrastructure in the coming decades. Continued research, interdisciplinary collaboration, and responsible technological development will be essential to fully harness the transformative potential of AI-driven quantum computing.

References

  1. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press.
  2. Biamonte, J., et al. (2017). Quantum machine learning. Nature, 549(7671), 195–202.
  3. Schuld, M., & Petruccione, F. (2018). Supervised Learning with Quantum Computers. Springer.
  4. Preskill, J. (2018). Quantum computing in the NISQ era and beyond. Quantum, 2, 79.
  5. Dunjko, V., & Briegel, H. (2018). Machine learning and artificial intelligence in the quantum domain. Reports on Progress in Physics, 81(7).                                                                                Written by,Dr. A. Senthilkumar, Dean, School of Science and Information Technology,   Skyline University Nigeria

Career Opportunities in Mass Communication

When we read newspapers, magazines, listen to Radio or watch T.V. This would be called ‘Mass Communication’ meaning ‘as the message is reached to the masses through different media. Mass communication is, therefore, the term used to describe the academic study of various means by which individuals and entities relay information to large segments of the population all at once through mass media. Mass Communication profession has become so highly demanding; the request for its services has continued to increase in demand by the developed and underdeveloped countries most especially in the area of Journalism, broadcasting and Media Technology such as Film Media. It is often said that a prospective student of Mass Communication needs to look good (be beautiful or handsome) to thrive in TV broadcast; or has to have a melodious voice to thrive in Radio broadcast, or has to have an exceptional writing skill to thrive in print media; The truth of the profession is that career in Mass Communication is much beyond what is obtainable with these qualities mentioned. In the broadcast, for example, a prospective student can look up for opportunities in news casting, news reporting, Programme anchoring, editing and a couple of other things. Likewise in the print media, a prospective student can look up for opportunities in reporting, beat reporting, roving reporting, proofreading, desk editing and a couple of other things. Even outside the traditional journalism, a prospective student can develop a career doing a couple of things including blogging, Public Relations Practice, Communication design and Campaign Management as well as Independent Photojournalism. All these are possible with a well-focused academic training and self-determination on the part of the student. In Journalism, for example, Print and Broadcast Journalism practice is the most traditional career path one can trail after studying Mass Communication. This is a broad term that encompasses so many things. To start with, journalism in its very conservative form consists of broadcast and print. In both branches, one can aspire to be a reporter, a proof-reader, an editor or a reviewer. One can aspire to be a newspaper columnist or a newscaster in the broadcast journalism in both TV and Radio. The practice of Public Relation (PR) is the business of creating, sustaining and promoting good mental image for public and private organizations. This career path can be trailed in two different forms. One has the option of working as an employee of an organization for which he practices PR. The other option is to work for PR firm to practice PR as a consultant to other organizations. Whichever way, PR practitioner will have to work hand-in-hand with journalists who are in the field. He would want to influence some positive media attention to his client. Independent Photojournalism, Press Secretaryship, Information Officer of an organization, a blogger, lecturing jobs are other career opportunities in Mass Communication. A professional course in Mass Communication opens doors for a career in Films & TV, Publishing, Public Relations, Journalism, Editing, Direction, Film-Making, Script-Writing, Production, Fashion Photographer, Cinematographer, Film Director, TV Correspondent, Producer, Radio Jockey/ RJ, Screenwriter, Sound Engineer, Sound Mixer and Sound Recorders, Special Correspondent, Art Director, Editor, Event manager etc. Conclusion It should be noted that the most important thing in the study of Mass Communication is not the opportunities offered by the profession; it is rather the human being who will grab those opportunities. In which case, to shoulder responsibility properly, one is required to train to master the technical ‘know-how’ of media profession while in the undergraduate journey, one is also required to have an in-depth understanding of the society within the context of its norms, traditions and values. Understanding the law of the land is of equal importance. Finally, candidates who are interested to get into news media should have a keen interest and sound knowledge of news and current affairs. A global perspective on various issues helps candidates in obtaining the position of reporter or journalist. Similarly, those who are interested in electronic media are required to have practical knowledge of video editing offered in most institutions of higher learning where Mass communication is thought, particularly offering internship Programmes with news channels, radio stations etc. before the completion of the Programmeme. REFERENCES U.S BLS (2013). “Gross job gains 7.6 million and gross job losses 6.5 million in the 4th quarter of 2014.” http://www.bls.gov/. Retrieved date, November 23, 2014. Rabiu, M.S. (2013). The World of News: Career Prospects in Journalism and Mass Communication. Ibadan: Stirling-Horden Publishers Limited. Rabiu, M.S. (2014). Journalistic Skills for Professional Excellence. Ibadan: Stirling- Horden Publishers Limited.   You can join the conversation on Facebook @SkylineUniversityNG and on Twitter @SkylineUNigeria

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First-Ever Animal That Can Survive Without Oxygen Discovered

Mitochondrial respiration is an ancient characteristic of eukaryotes. However, it was lost independently in multiple eukaryotic lineages as part of adaptations to an anaerobic lifestyle. An international team of researchers has found a multicellular animal with no mitochondrial DNA, making it the only known animal to exist without the need to breathe oxygen. In their paper published in Proceedings of the National Academy of Sciences [1], the group describes their study of Henneguya salminicola, a microscopic, parasitic member of the group Myxozoa and its unique physiology.

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Oscillation of Days only in February And Extraction of the Exact Day from any Date of Past and Future

A calendar is a system of recording or organizing days for social, religious, commercial or administrative purposes. It is based on considerations of astronomical nature. This is done by giving names to periods of time viz. days, weeks, months and years. A date is the designation of a single, specific day within such a system.

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