The ministry collaborates with global tech leaders to launch the iMPEL-AI programme, aimed at empowering Indian start-ups in Artificial Intelligence to foster innovation and drive societal and economic advancement.
India’s regulatory framework underscores the government’s dedication to fostering innovation for both economic advancement and societal welfare, as demonstrated by its increasingly prominent role in the global tech landscape.
Cutting-edge AI-powered mobile clinics revolutionise TB detection in the Cordillera region, while a strategic partnership between JICA and the DOH introduces innovative AI-assisted technology to combat tuberculosis nationwide.
NTU AI researchers are transforming media with breakthroughs in emotion analysis, video search, and authenticity verification, shaping a transparent digital landscape.
The Minister of Communication and Information Technology urged the press to seize opportunities in global digitalisation through innovative data analysis and audience engagement, emphasising the need to maintain ethical content standards.
New Zealand’s adoption of facial recognition technology in retail reflects a positive stride towards innovation and efficiency, although it also underscores the importance of addressing privacy concerns and ensuring equitable accuracy across diverse demographics.
Vietnam’s remarkable rise in AI readiness, from 55th place in 2022 to 39th globally in 2023, underscores its commitment to integrating AI technologies for enhanced public services, with ambitious goals set to solidify its position as a regional AI powerhouse by 2030.
Partnerships that pioneer innovation in trustworthy AI, emphasise fairness in assessments and align with the Government of India’s objectives to reinforce public trust in transformative technologies.
AiSee, developed by researchers at NUS Computing, is an AI-powered wearable device designed to assist visually impaired individuals in identifying objects and interacting with their surroundings, aiming to enhance independence and accessibility.
MIT PhD student has revolutionised machine learning by offering a framework for scalable data processing, collaborating with the experts, earning acclaim for bridging mathematical theory with practical AI applications.