Machine learning Current Affairs - 2019
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The government of Tamil Nadu has released Startup and Innovation policy 2018-2023 with a mission of providing an enabling and innovative ecosystem for startups registered in the State and to make Tamil Nadu a ‘Global Innovation hub for startups’ by 2023.
Objectives of the Policy
The core objectives of the Startup and Innovation policy 2018-2023 are:
- Creation of at least 5000 technology startups of which at least 10 global high growth startups in social impact sectors.
- Infrastructure support to strengthen existing mechanism in areas like the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and Software as a Service (SAAS)
Components of the Policy
The important components of the Startup and Innovation policy 2018-2023 are:
- The policy aims to collaborate with educational institutions to promote entrepreneurial spirit, reduce existing regulatory and tax burden on startups in the field of labour, pollution and building norms.
- The policy aims to partner with reputed investors across the globe to bring investment to the Tamil Nadu startups.
- The policy envisages nurturing aspiring entity or individuals (defined as ‘Start Steps’) who develops a potentially scalable business model that can generate wealth and employment.
- Entrepreneurship Development Institute of India (EDII) will act as a nodal agency to promote and facilitate startups.
- Tamil Nadu Startup and InnovaTN Mission (TANSIM) headed by a full-time officer will advocate and oversee policies and programmes for promoting startups.
- Tamil Nadu Startup Seed Grant Fund (TNSSGF) of Rs 50 crore with an allotment of Rs 5 crore in the first year in partnership with financial institutions and universities for supporting early-stage financing requirements of the startups in the form of grants to fill the gap in fund requirement for research & innovations.
Implementation of the Policy
The government of Tamil Nadu has set a 5-point action plan for implementing the policies. It includes:
- Creating ecosystems for encouraging innovations.
- Ensuring resources availability to Startup ecosystem.
- Enabling skill development and job creation.
- Supporting social entrepreneurship.
- Establishing global accessibility and partnerships.
Definition of the Start-up
The policy lists the following criterions to be recognised as the start-up in Tamil Nadu:
- Registration under Tamil Nadu Startup and InnovaTN Mission (TANSIM).
- Date of incorporation less than 7 years (less than 10 years in case of biotechnology, AI and ML startups).
- Registration and turnover less than Rs 25 crore in any of the financial years.
The policy aims for a minimum of 1,00,000 high skilled job creation, direct and indirect, in the Startup Ecosystem.
Tags: AI • Artificial Intelligence • Entrepreneurship Development Institute of India • Innovation • Internet of Things • IoT • Machine learning • ML • SAAS • Software as a Service • Startup • Startup and Innovation policy 2018-2023 • Tamil Nadu • Tamil Nadu Startup and InnovaTN Mission • TANSIM
IIT Hyderabad has announced the launch of a full-fledged bachelor’s programme in Artificial Intelligence (AI) technology. IIT Hyderabad has become the first institute in the country to launch full-fledged Bachelor’s programme in AI technology. IIT Hyderabad will be the third institute to globally to offer the B.Tech course in AI.
Other institutes providing similar courses in AI are US-based Carnegie Mellon University and Massachusetts Institute of Technology (MIT).
Artificial Intelligence refers to the process of making a computer, a computer-controlled robot or a software think intelligently, in a similar manner the intelligent humans think.
Artificial Intelligence is designed by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.
About the Course
The Bachelor’s course in AI would fill the demand gap which far exceeds the current supply. The Bachelor’s course in AI will train students in the fundamentals of computer science, AI and Machine Learning, in addition to sensitising them to the ethical issues in deploying AI-based solutions. The course would focus on application verticals such as healthcare, agriculture, smart mobility, among many others.