Chapters :
  • 5G Technology – 02
  • Government steps to push for 5g
  • Challenges
  • Conclusion
  •  Artificial Intelligence

5G Technology – 02

Government steps to push for 5g
  • The government established a steering committee under the Chairmanship of A.J.Paulraj to suggest a roadmap for 5G adoption.
  • Telecom Regulatory Authority of India (TRAI) has started the process of auctioning 5G spectrum.
  • National Electronics Policy 2019 aims to position India as a global hub for Electronics System Design and Manufacturing and promotes 5G, IoT, Artificial intelligence etc.
  • Bharat Net project aims to provide broadband connectivity to all households.
  • The Department of Telecommunication has started a high-level forum to develop the roadmap for 5G in India.
  • Government is taking steps to enhance rural connectivity, by connecting Panchayats with broadband services. This will help in future rollout of 5G.
  • Government has also given incentive for research in this field. Various scheme Like Atal Innovation Mission(AIM) aims to develop scientific temper among the students.
  • India is also making efforts to have its own IPR for 5G services.
Challenges
  • Infrastructure– Till now the infrastructure for the mobile network is poor in India. In rural areas, there is a lack of fibre connectivity and people have lack of access in terms of mobile devices.
  • Terrain- The rollout of 5G requires new frequencies, which can be absorbed by humid and hot weather. So in hilly and coastal areas, it becomes difficult to have 5G connectivity. Also laying of fibre in difficult terrain is also a tedious task.
  • Investment– Shift to 5G requires huge investment. Our telecom sector is already quagmire by huge debt, so it’ll be difficult for them to buy the 5G spectrum and other infrastructure required.
  • Technical knowhow– India till now has no significant achievement in the field of 5G research. China, Japan and other Western Countries are much ahead of us in the field of research. So in order to quickly roll out 5G, we need to pace up with research in this field.
  • Expensive– 5G connection requires new devices and it’s not compatible with the already existing 4G network mobiles. So it’ll be expensive for people to buy new devices. Also, 5G connection is expensive as compared to 4G.
  • Data protection and Cybercrime– India faces the problem of Cyber theft and breach of privacy. With the rollout of 5G network, we need to ensure cyber protection and other safety measures.

Conclusion 5G networks have the power to change the way we live and think. It’s a great opportunity for India to boost its telecom sector and ensure global competitiveness. For wider and equal deployment of 5G India needs to ensure that it overcomes the challenges related to infrastructure and spectrum sale. This will help in taking the benefits of 5G as soon as possible. Artificial Intelligence A modern approach; Applications & Examples Technology is rapidly changing the world around us and everything now is at the click of a button. One such ease is further exemplified with the recent emergence of Artificial Intelligence.  Introduction
  • Artificial intelligence is a machine-based smart behaviour rather than human and other animals’ natural intelligence (NI).
  • AI is described in computer science as a’ smart agent’ research: “any device which understands its environment and takes action that maximizes its opportunity of succeeding. In general, terms, when a machine imitates “cognitive” functions that people associate with other human minds, such as “learning” and “problem-solving,” is when the term “artificial intelligence” applies.
  • Artificial intelligence was established as an academic discipline in 1956 and has undergone a series of waves of optimism thereafter.
  • To make it easy–machines displayed intelligence is artificial intelligence.
  • It is a computer science branch that deals with making computers or machines as smart as humans. John McCarthy invented the word in 1956 at the Massachusetts Technology Institute meeting in Dartmouth.
  • It is a simulation of procedures of human intelligence like teaching (the collaboration of data and data rules),
reasoning, or the self-correction by machinery (in particular, computer systems), using the guidelines for drawing approximate or clear conclusions.
  • However, work is being performed in this field except for some cases of computers playing games quicker than the finest human players. For example, an IBM supercomputer called Deep Blue defeated Gary Kasparov in a chess match in May 1997.
  • Another latest instance of 2016 is that AlphaGo, a Google-driven DeepMind AI program, has won one of Go’s most dominant players, Korean Lee Sedol.
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