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Recent Research Trends in Computer Science Dr. Nancy Agnes, Head, Technical Operations, Tutorsindia info@ tutorsindia.com

I. ABSTRACT

The field of computer science has made many

contributions to the life of human beings. The recent

advancements in this field are proven to be very

smarter. Fundamentals of computer science

applications emphasize the advantages of integration

thus making it a very important source for the

students and scholars in computer science,

engineering, and applied mathematics. The need of

the young researchers is fulfilled with the

development of computer science applications and

they also attain their targets with the help of

restructured and improved support systems.

Researchers are highlighting how these technologies

can integrate with social and economic factors in

order to present a comprehensive solution to the real-

world problems of mankind in every domain of life. 1

II. RESEARCH TRENDS IN 2021

Technology is developing at a rapid rate in the current situation, enabling swift progress and change.

As a result, there is an increase in the rate of change,

until it becomes exponential. However, it is not only

research trends and top technologies that are

emerging. Here are the most important research

trends that must be paid attention to in 2021.

a. Machine Learning: Sophisticated models in

machine learning assists many organizations to

competently determine patterns, disclose anomalies,

make decisions and predictions, and produce insights.

Machine learning has become a key element in

organizational performance. Organizations are

recognizing the need to change from individual

heroics to engineered performance in order to move

the ML models more efficiently from improvement to

production and management.

b. Machine data revolution: Machine learning has

been balanced to renovate the operations and

decision-making of organizations. A large number of

AI researchers are recognizing the legacy data

models and infrastructure that has been designed to

assist the decision-making of humans and could be an

obstruction to the success of ML. In response to this,

organizations are proceeding forward to interrupt the

data management value chain one after the other.

Interesting blog: List Of Machine Learning

Algorithms Used To Train The Google Search

Engine

c. Zero trust: Complicated and untrusted cyber

attacks and unreliable project environments have

damaged the traditional and somewhat defective

approach to cybersecurity. Zero trusts are entrenched

in the concept that recent enterprise environments

must demand a different approach to cybersecurity. 3

Source: https://www.quora.com/What-are-the-top-

trends-in-computer-science-research

III. FRONTIER TECHNOLOGIES

Frontier technologies are ever more

interconnected, and they often enlarge their

functionalities. AI uses big data that has been stored

securely blockchains to get better predictions by

means of machine learning. A growing number of

devices that are connected inside an IoT network are

data collection tools that contribute to constructing

big data. 3D printing can produce more intricate

items that need more data by influencing big data,

and those complex items can be printed through IoT

remotely through defect detection functions enabled

https://www.tutorsindia.com/blog/list-of-machine-learning-algorithms-used-to-train-the-google-search-engine/https://www.tutorsindia.com/blog/list-of-machine-learning-algorithms-used-to-train-the-google-search-engine/https://www.tutorsindia.com/blog/list-of-machine-learning-algorithms-used-to-train-the-google-search-engine/https://www.tutorsindia.com/blog/big-data-in-cloud-computing-review-and-opportunities/

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by AI. Industrial robots support 3D printing at

different production stages such as restoring a build

plate of the printer and then washing, curing, and

absolute completion of additively manufactured

parts. 5G has the capability to allow instant response

for robots by significantly reducing the response

times. 6

IV. TECHNOLOGY VISION IN 2021

1. Stack Strategically - Building a Better Future: A

new period of industry competition is beginning,

where industries compete on their structural design.

2. Mirrored World - The influence of Intelligent,

Massive, and Digital Twins: Increasing investments

in AI, data, and digital twin technologies are paving

way for the new generation of industry and

intelligence, the mirrored world.

3. I, Technologist- the Democratization of

Technology: Robotic process automation, Natural

language processing, low-code platforms, and more

are the democratizing technology that places

influential capabilities into the hands of people across

the business.

4. Anywhere, Everywhere - Fetch Your Own

Environment: It is time for organizations to renovate

remote work to benefit from the accommodation.

5. From Me to Us - A Mutual System’s Path through

Chaos: The pandemic of COVID-19 has lighted a

scramble for ventures to reconsider their partnerships

and mutual systems have gained newfound

awareness. 2

V. RECENT RESEARCH IN COMPUTER

SCIENCE

1. Arbitrary Graph Models through Non-

Independent Edges

2. Investigation and Review of Average Fuzzy

Inference Method and Other AI Technologies Used

for Robot Control and Navigation

3. A New Method for producing an Ipv6

Address in IoT framework

4. Affinity of Data Mining in Digital Learning

Platform5

5. Modeling and Investigation of LTE

Downlink System – 3GPP

6. Enhanced hardness and estimated results for

single allocation hub location issues

7. Determining the size and the diameter of a

radio network by means of short labels

8. Various facility location games through

envy ratio

9. Parameterized intricacy of completeness

reasoning for conjunctive uncertainties

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10. An estimated algorithm for General Energy

Restricted Sweep Coverage issue

11. Effectiveness and impartiality in the multi-

organization arrangement issue. 4

Next Blog: Recent Master’s Research Topic Ideas

for Computer Science Engineering 2020

VI. CONCLUSION

The development of humankind in recent decades is

accompanied by fast changes in technology and a

rising propagation of digitized services and devices.

And the rapidity of change seems to go faster as a

result of frontier technologies like robotics, artificial

intelligence (AI), nanotechnology, and

biotechnology. These technologies are a collection of

innovative technologies that captures the advantage

of digitalization and connectivity that facilitate them

to increase their impacts. We survive in an

interconnected world where everything is performed

online right from banking operations to governmental

infrastructure. In the current situation, data security is

no longer possible, making this another important

strand of computer science research. 5

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REFERENCES:

1. Ajay Rana and Manjeet Singh, 2021, Mini

View on Current Trends in Computer Sciences &

Applications.

2. Julie Sweet, Paul Daugherty, 2021, Leaders

Wanted Technology Vision 2021 - Masters of

Change at a Moment of Truth

3. Scott Buchholz, Mike Bechtel, Bill Briggs,

2021, Tech Trends 2021.

4. Alison Opal, 2021, Current Trends in

Computer Sciences & Applications.

5. Elsevier, 2021, Recent Theoretical Computer Science Papers.

6. Technology And Innovation Report 2021.

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