Robotics, Chips, Datasets: MoS Chandrasekhar Unveils Roadmap for India’s AI Programme; Speaks with News18 – News18

The minister acknowledged the substantial work of six working groups on AI. (File pic/PTI)

The minister acknowledged the substantial work of six working teams on AI. (File pic/PTI)

The Minister of State for Electronics and IT mentioned two main developments, that are the fruits of a deep and multi-year AI technique and the initiation of a nationwide robotics coverage, to place India as a significant participant within the world AI and robotics panorama

Minister of State for Electronics and IT Rajeev Chandrasekhar on Friday unveiled a complete roadmap for India’s Artificial Intelligence (AI) programme which serves as the first or elementary blueprint for the broader National Strategy for Robotics. He mentioned two main developments, that are the fruits of a deep and multi-year AI technique and the initiation of a nationwide robotics coverage, to place India as a significant participant within the world AI and robotics panorama.

The minister acknowledged the substantial work of six working teams on AI. With the mission to deal with the six elementary targets of the India AI programme, these teams have fashioned a complete report that may function the core of India’s AI technique. Chandrasekhar stated that this roadmap just isn’t about chasing traits, resembling generative AI, however is a strategic initiative that may pave the way in which for India’s future within the tech world.

Key highlights of India’s AI and robotics technique embody:

$1 Billion Digital Economy: The main aim of India’s AI technique is to be a kinetic enabler of a $1 billion digital financial system. This bold goal seeks to harness the potential of AI to drive financial development and innovation.

Real-life Use Cases: The minister said that AI can rework many sectors and stimulate India’s startup and entrepreneurship ecosystem. So, now there will probably be extra core sectors resembling fintech, governance, and training to concentrate on together with the 4 key sectors talked about within the draft National Strategy on Robotics—agriculture, healthcare, nationwide safety, and manufacturing.

Components: The technique consists of essential elements, such because the India Datasets Platform, collaboration with tutorial establishments for Centers of Excellence, ability improvement initiatives, design help, nurturing AI startups, monetary incentives akin to these efficiently carried out within the semiconductor trade through the PLI scheme, a public-private partnership (PPP) mannequin for AI compute infrastructure, and a notable prospect involving AI chips. This alternative will contain a partnership between India AI and Semicon India, geared toward offering funding for the development of the subsequent technology of synthetic intelligence chips and computing {hardware}.

Robotics Strategy: The ministry has launched the National Strategy for Robotics and it’s open for public session, which invitations inputs from varied stakeholders, together with startups, researchers, enterprises, and manufacturing corporations. Chandrasekhar stated that the robotics coverage will tackle issues associated to Industry 4.0 and robotics, aligning it with the broader AI technique.

In phrases of implementation, Chandrasekhar defined to News18: “There will be a centre of excellence for that particularly, which will have an ecosystem of startups, companies, academia, and government partnering around the COE. They will use the dataset platform which will have the necessary datasets that will train their model and they will develop their own datasets that they want. And the government will provide support in terms of funding to the startups in some cases. The government will also provide infrastructural support for AI computing infrastructure to train that model.”

It must be understood {that a} important side of the India AI programme is the aggregation and availability of numerous datasets in a single place to satisfy the multi-parameter necessities of AI fashions and function foundational fashions for coaching. These datasets will probably be made out there in an built-in method by the India Datasets Platform, managed by an unbiased workplace throughout the Ministry of Electronics and Information Technology (MeitY). These datasets will embody authorities and personal sector knowledge, all anonymized and void of non-public knowledge.

“The core outcome that it brings together in a very comprehensive manner to build India AI is going to be intact. There is no doubt that India wants to be a major player in the future of AI. Indian startups, academia, and companies have to and must be major participants in AI and shaping the future of AI,” the minister famous.

Source web site: www.news18.com

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