Latest news with #INDIAaiMission
Time of India
30 minutes ago
- Business
- Time of India
India advocates democratisation of AI: Union minister Ashwini Vaishnaw
India on Thursday presented its vision for artificial intelligence at the St Petersburg International Economic Forum (SPIEF) 2025, with Union Minister for Railways, Information and Broadcasting, and Electronics and IT, Ashwini Vaishnaw delivering a keynote address at a high-level session titled "At the Forefront of Technology: The Future of AI & Global Competition." Addressing a distinguished gathering of global delegates, including representatives from Central Asian countries, the minister outlined India's inclusive and transformative approach to AI. In his speech, Vaishnaw emphasized the need for the democratization of AI , underscoring India's commitment to making the technology accessible and beneficial to every citizen. "Equity and accessibility are central to our AI vision," he said, highlighting how India aims to ensure that AI's advantages reach across all sections of society, industries, and geographical regions. He elaborated on India's national AI strategy through the INDIAai Mission , which is grounded in the principles of ethical, transparent, and responsible innovation. The mission, he said, aligns closely with India's broader socio-economic goals, placing a strong emphasis on inclusive development and sustainability. A major focus of the minister's address was India's young, tech-savvy population. Vaishnaw highlighted how the country is strategically nurturing an AI-skilled workforce to fuel innovation and economic growth. This talent pool, he suggested, would play a pivotal role in positioning India as a leading global force in AI development and application. On the sidelines of the forum, Vaishnaw also held a bilateral meeting with Russia's Deputy Prime Minister, Alexei Overchuk. The two leaders discussed expanding collaboration in key sectors such as transport, connectivity, infrastructure development, and rare earth minerals--areas critical to both countries' strategic and technological futures. The minister's visit to SPIEF 2025 reinforced India's rising prominence as a technology-driven nation. By championing a human-centric and inclusive AI future, India is not only shaping the global discourse on artificial intelligence but also deepening its engagement with key international partners.
India Gazette
12 hours ago
- Business
- India Gazette
India advocates democratisation of Artificial Intelligence: Ashwini Vaishnaw at Russia Forum
St Petersburg [Russia], June 19 (ANI): India on Thursday presented its vision for artificial intelligence at the St Petersburg International Economic Forum (SPIEF) 2025, with Union Minister for Railways, Information and Broadcasting, and Electronics and IT, Ashwini Vaishnaw delivering a keynote address at a high-level session titled 'At the Forefront of Technology: The Future of AI & Global Competition.' Addressing a distinguished gathering of global delegates, including representatives from Central Asian countries, the minister outlined India's inclusive and transformative approach to AI. In his speech, Vaishnaw emphasized the need for the democratization of AI, underscoring India's commitment to making the technology accessible and beneficial to every citizen. 'Equity and accessibility are central to our AI vision,' he said, highlighting how India aims to ensure that AI's advantages reach across all sections of society, industries, and geographical regions. He elaborated on India's national AI strategy through the INDIAai Mission, which is grounded in the principles of ethical, transparent, and responsible innovation. The mission, he said, aligns closely with India's broader socio-economic goals, placing a strong emphasis on inclusive development and sustainability. A major focus of the minister's address was India's young, tech-savvy population. Vaishnaw highlighted how the country is strategically nurturing an AI-skilled workforce to fuel innovation and economic growth. This talent pool, he suggested, would play a pivotal role in positioning India as a leading global force in AI development and application. On the sidelines of the forum, Vaishnaw also held a bilateral meeting with Russia's Deputy Prime Minister, Alexei Overchuk. The two leaders discussed expanding collaboration in key sectors such as transport, connectivity, infrastructure development, and rare earth minerals--areas critical to both countries' strategic and technological futures. The minister's visit to SPIEF 2025 reinforced India's rising prominence as a technology-driven nation. By championing a human-centric and inclusive AI future, India is not only shaping the global discourse on artificial intelligence but also deepening its engagement with key international partners. (ANI)
Time of India
14 hours ago
- Business
- Time of India
India advocates democratisation of AI: Union minister Ashwini Vaishnaw
India on Thursday presented its vision for artificial intelligence at the St Petersburg International Economic Forum (SPIEF) 2025, with Union Minister for Railways, Information and Broadcasting, and Electronics and IT, Ashwini Vaishnaw delivering a keynote address at a high-level session titled "At the Forefront of Technology: The Future of AI & Global Competition." Addressing a distinguished gathering of global delegates, including representatives from Central Asian countries, the minister outlined India's inclusive and transformative approach to AI. In his speech, Vaishnaw emphasized the need for the democratization of AI , underscoring India's commitment to making the technology accessible and beneficial to every citizen. Play Video Pause Skip Backward Skip Forward Unmute Current Time 0:00 / Duration 0:00 Loaded : 0% 0:00 Stream Type LIVE Seek to live, currently behind live LIVE Remaining Time - 0:00 1x Playback Rate Chapters Chapters Descriptions descriptions off , selected Captions captions settings , opens captions settings dialog captions off , selected Audio Track default , selected Picture-in-Picture Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color White Black Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Text Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Transparent Caption Area Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Drop shadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Reset restore all settings to the default values Done Close Modal Dialog End of dialog window. "Equity and accessibility are central to our AI vision," he said, highlighting how India aims to ensure that AI's advantages reach across all sections of society, industries, and geographical regions. He elaborated on India's national AI strategy through the INDIAai Mission , which is grounded in the principles of ethical, transparent, and responsible innovation. Live Events The mission, he said, aligns closely with India's broader socio-economic goals, placing a strong emphasis on inclusive development and sustainability. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories A major focus of the minister's address was India's young, tech-savvy population. Vaishnaw highlighted how the country is strategically nurturing an AI-skilled workforce to fuel innovation and economic growth. This talent pool, he suggested, would play a pivotal role in positioning India as a leading global force in AI development and application. On the sidelines of the forum, Vaishnaw also held a bilateral meeting with Russia's Deputy Prime Minister, Alexei Overchuk. The two leaders discussed expanding collaboration in key sectors such as transport, connectivity, infrastructure development, and rare earth minerals--areas critical to both countries' strategic and technological futures. The minister's visit to SPIEF 2025 reinforced India's rising prominence as a technology-driven nation. By championing a human-centric and inclusive AI future, India is not only shaping the global discourse on artificial intelligence but also deepening its engagement with key international partners.
Time of India
29-04-2025
- Business
- Time of India
Can Sarvam AI overcome challenges to build India's first indigenous LLM under the INDIAai Mission?
Last week, Bengaluru-based Sarvam AI became the first startup chosen by GoI to build an indigenous foundational LLM under INDIAai Mission , reportedly from among over 400 applicants. GoI will allocate the company 4,096 Nvidia H100 GPUs for 6 months, obtained from empanelled firms like Jio, CtrlS, Yotta and Tata Communications . #Pahalgam Terrorist Attack The groundwork before India mounts a strike at Pakistan India considers closing airspace to Pakistani carriers amid rising tensions Cold Start: India's answer to Pakistan's nuclear threats In March 2024, GoI had announced its ₹10,372 cr (about $1.25 bn) INDIAai Mission to democratise AI innovation and computing access, enhance data quality, and nudge India to become an AI powerhouse. The government started investing to create a high-end, commonly accessible computing facility equipped with 18,693 GPUs. This is especially important considering '2022 Unesco State of the Education Report' stated that India has the highest relative AI skill penetration rate in the world. '2024 Stanford AI Index Report' places India among the top countries in the AI advancement world. Sarvam is the first-off-the-block contender in INDIAai that hopes to actualise these expectations. Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Elegant New Scooters For Seniors In 2024: The Prices May Surprise You Mobility Scooter | Search Ads Learn More Undo GoI reckons that this sovereign model, with 70 bn parameters, will compete with the best in the world. Sarvam has affirmed that its model, capable of sophisticated reasoning and voice-first interactions, with fluency across 22 Indian languages, including English, will be secure and fit for deployment at population scale in 6 months. But there is no gainsaying the reality that training and developing this LLM entirely in India is likely to encounter its fair share of hurdles. Speech babel: Obtaining and curating large datasets representing India's linguistic diversity, including dialects, is hard to find and complex to deal with. Non-English Indian languages have their own intricate grammars, structures and syntaxes. Building contextual models that recognise all of this, and are still fluent, isn't easy, especially when benchmarking against global LLMs. Add to that the need to recognise and eliminate gender, religion, caste and other biases within the context of the country's complex societal norms. Live Events Content & its discontents: Data cleansing will be time-consuming, and copyright and licensing could be arduous. Gift of the gab: India has a large workforce. But building LLMs requires specialist researchers, engineers and linguists with higher-order skills in natural language processing, machine learning and complex architectures. Such talent is hard to come by, and equally hard to retain, in a global marketplace that knows their value. Eventual success hinges on igniting interest of researchers, industry experts and developers to build applications and services, on top of Sarvam's models that will encourage extensive adoption. Networking: Interoperability with diverse devices, applications and platforms will be a formidable challenge, too. As will be adapting to evolving technologies, architectures and optimisation techniques. Infra dig: Sarvam has to create magic, despite India contributing less than 1.5% to global AI research, India having insufficiently mature high-performance concentrated computing assets, cloud infrastructure that is just becoming robust, academia that's catching up, and a talent pool that is currently in flight. Data deficit: GoI has stepped up to spur AI funding. It has to now step up to bridge the country's data disadvantage. Because data adequacy is at the heart of AI development. INDIAai's datasets platform, AIKosh just went live. But a lone government-managed platform can only be a start. India has to access vast amounts of multimodal data that repositories of entities like Jio, Airtel, MakeMyTrip, Zomato and PhonePe have, within the ambit of privacy and rules-based norms. And the vast amounts of data that lie locked within government departments like health, education, agriculture, finance, railways and aviation. Tie-ups along with startups: Formal government-to-government exchange programmes, collaborations with renowned global research universities and other bilateral and multilateral arrangements can help India narrow the lag from not being first-mover. According to consultancy firm Zinnov, MNCs have set up around 2,975 GCCs in India. These are full-fledged innovation and R&D centres employing 1.9 mn professionals, generating revenues of $65 bn in 2024 - more than any other country in the world by a distance. It's a pointer to what can be achieved.
Economic Times
29-04-2025
- Business
- Economic Times
Can Sarvam AI overcome challenges to build India's first indigenous LLM under the INDIAai Mission?
Last week, Bengaluru-based Sarvam AI became the first startup chosen by GoI to build an indigenous foundational LLM under INDIAai Mission, reportedly from among over 400 applicants. GoI will allocate the company 4,096 Nvidia H100 GPUs for 6 months, obtained from empanelled firms like Jio, CtrlS, Yotta and Tata March 2024, GoI had announced its ₹10,372 cr (about $1.25 bn) INDIAai Mission to democratise AI innovation and computing access, enhance data quality, and nudge India to become an AI powerhouse. The government started investing to create a high-end, commonly accessible computing facility equipped with 18,693 GPUs. This is especially important considering '2022 Unesco State of the Education Report' stated that India has the highest relative AI skill penetration rate in the world. '2024 Stanford AI Index Report' places India among the top countries in the AI advancement world. Sarvam is the first-off-the-block contender in INDIAai that hopes to actualise these reckons that this sovereign model, with 70 bn parameters, will compete with the best in the world. Sarvam has affirmed that its model, capable of sophisticated reasoning and voice-first interactions, with fluency across 22 Indian languages, including English, will be secure and fit for deployment at population scale in 6 months. But there is no gainsaying the reality that training and developing this LLM entirely in India is likely to encounter its fair share of hurdles. Speech babel: Obtaining and curating large datasets representing India's linguistic diversity, including dialects, is hard to find and complex to deal with. Non-English Indian languages have their own intricate grammars, structures and syntaxes. Building contextual models that recognise all of this, and are still fluent, isn't easy, especially when benchmarking against global LLMs. Add to that the need to recognise and eliminate gender, religion, caste and other biases within the context of the country's complex societal norms. Content & its discontents: Data cleansing will be time-consuming, and copyright and licensing could be arduous. Gift of the gab: India has a large workforce. But building LLMs requires specialist researchers, engineers and linguists with higher-order skills in natural language processing, machine learning and complex architectures. Such talent is hard to come by, and equally hard to retain, in a global marketplace that knows their value. Eventual success hinges on igniting interest of researchers, industry experts and developers to build applications and services, on top of Sarvam's models that will encourage extensive adoption. Networking: Interoperability with diverse devices, applications and platforms will be a formidable challenge, too. As will be adapting to evolving technologies, architectures and optimisation techniques. Infra dig: Sarvam has to create magic, despite India contributing less than 1.5% to global AI research, India having insufficiently mature high-performance concentrated computing assets, cloud infrastructure that is just becoming robust, academia that's catching up, and a talent pool that is currently in flight. Data deficit: GoI has stepped up to spur AI funding. It has to now step up to bridge the country's data disadvantage. Because data adequacy is at the heart of AI development. INDIAai's datasets platform, AIKosh just went live. But a lone government-managed platform can only be a has to access vast amounts of multimodal data that repositories of entities like Jio, Airtel, MakeMyTrip, Zomato and PhonePe have, within the ambit of privacy and rules-based norms. And the vast amounts of data that lie locked within government departments like health, education, agriculture, finance, railways and aviation. Tie-ups along with startups: Formal government-to-government exchange programmes, collaborations with renowned global research universities and other bilateral and multilateral arrangements can help India narrow the lag from not being first-mover. According to consultancy firm Zinnov, MNCs have set up around 2,975 GCCs in India. These are full-fledged innovation and R&D centres employing 1.9 mn professionals, generating revenues of $65 bn in 2024 - more than any other country in the world by a distance. It's a pointer to what can be achieved.
