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Section: By nation > United States. In 2014, former Secretary of Defense Chuck Hagel posited the "Third Offset Strategy" that rapid advances in artificial intelligence will define the next generation of warfare. According to data science and analytics firm Govini, the U.S. Department of Defense (DoD) increased investme... | Wikipedia - Artificial intelligence arms race - By nation > United States | 311 | 1,593 | null |
However, a major concern is how the report will be implemented. The Joint Artificial Intelligence Center (JAIC) (pronounced "jake") is an American organization on exploring the usage of AI (particularly edge computing), Network of Networks, and AI-enhanced communication, for use in actual combat. It is a subdivision of... | Wikipedia - Artificial intelligence arms race - By nation > United States | 333 | 1,725 | null |
Section: By nation > United States > Project Maven. Project Maven is a Pentagon project involving using machine learning and engineering talent to distinguish people and objects in drone videos, apparently giving the government real-time battlefield command and control, and the ability to track, tag and spy on targets ... | Wikipedia - Artificial intelligence arms race - By nation > United States > Project Maven | 327 | 1,586 | null |
Section: By nation > United States > Project Artemis. The U.S. Department of Defense is partnering with Ukraine on "Project Artemis" to develop advanced drones that can withstand electronic warfare, blending Ukrainian simplicity and adaptability with American precision. Due to the Russia-Ukraine war, Ukraine has emerge... | Wikipedia - Artificial intelligence arms race - By nation > United States > Project Artemis | 162 | 880 | null |
Section: By nation > United States > Stargate Project. The Stargate Project is a joint venture announced in 2025 by OpenAI CEO Sam Altman, U.S. President Donald Trump, Oracle Corporation, MGX, SoftBank Group, and other partners. The initiative aims to develop large-scale artificial intelligence (AI) infrastructure in t... | Wikipedia - Artificial intelligence arms race - By nation > United States > Stargate Project | 151 | 750 | null |
Section: By nation > China. China is pursuing a strategic policy of military-civil fusion on AI for global technological supremacy. According to a February 2019 report by Gregory C. Allen of the Center for a New American Security, China's leadership – including paramount leader Xi Jinping – believes that being at the f... | Wikipedia - Artificial intelligence arms race - By nation > China | 323 | 1,711 | null |
The Japan Times reported in 2018 that annual private Chinese investment in AI is under $7 billion per year. AI startups in China received nearly half of total global investment in AI startups in 2017; the Chinese filed for nearly five times as many AI patents as did Americans. China published a position paper in 2016 q... | Wikipedia - Artificial intelligence arms race - By nation > China | 333 | 1,738 | null |
Autonomous systems, including drone swarms, AI-powered cyber warfare, play a crucial role in this strategy. China is reported to be currently developing wingman drones, robotic ground forces, and optimised logistics to enhance combat effectiveness. The Chinese army (PLA)) also emphasises cognitive warfare using AI-driv... | Wikipedia - Artificial intelligence arms race - By nation > China | 176 | 995 | null |
Section: By nation > India. A task force for the Strategic Implementation of AI for National Security and Defence was established in February 2018 by the Ministry of Defense's Department of Defence Production. The process of getting the military ready for AI use was started by the MoD in 2019. The Centre for Artificial... | Wikipedia - Artificial intelligence arms race - By nation > India | 310 | 1,752 | null |
The military is already deploying some AI-enabled projects and equipment. At Air Force Station Rajokri, the IAF Centre of Excellence for Artificial Intelligence was established in 2022 as part of the Unit for Digitization, Automation, Artificial Intelligence, and Application Networking (UDAAN). Swarm drone systems were... | Wikipedia - Artificial intelligence arms race - By nation > India | 326 | 1,747 | null |
Section: By nation > Russia. Russian General Viktor Bondarev, commander-in-chief of the Russian air force, stated that as early as February 2017, Russia was working on AI-guided missiles that could decide to switch targets mid-flight. The Military-Industrial Commission of Russia has approved plans to derive 30 percent ... | Wikipedia - Artificial intelligence arms race - By nation > Russia | 344 | 1,690 | null |
Putin also said it would be better to prevent any single actor achieving a monopoly, but that if Russia became the leader in AI, they would share their "technology with the rest of the world, like we are doing now with atomic and nuclear technology". Russia is establishing a number of organizations devoted to the devel... | Wikipedia - Artificial intelligence arms race - By nation > Russia | 341 | 1,780 | null |
In an official statement on November 1, 2017, Viktor Bondarev, chairman of the Federation Council's Defense and Security Committee, stated that "artificial intelligence will be able to replace a soldier on the battlefield and a pilot in an aircraft cockpit" and later noted that "the day is nearing when vehicles will ge... | Wikipedia - Artificial intelligence arms race - By nation > Russia | 348 | 1,880 | null |
Advances in AI-powered GPS-denied navigation and drone swarming techniques are significantly improving operational capabilities for Ukraine. Fully realised drone swarms, where multiple drones coordinate and make decisions autonomously, are still in the early stages of experimentation but Ukraine is exploring and implem... | Wikipedia - Artificial intelligence arms race - By nation > Russia | 307 | 1,781 | null |
Section: By nation > Israel. Israel makes extensive use of AI for military applications specially during the Gaza war. The main AI systems used for target identification are the Gospel and Lavender. Lavender developed by the Unit 8200 identifies and creates a database of individuals mostly low-ranking militants of Hama... | Wikipedia - Artificial intelligence arms race - By nation > Israel | 198 | 1,076 | null |
Section: By nation > Saudi Arabia. Saudi Arabia entered the AI race relatively late, beginning in the early 2020s. The country announced its Vision 2030 initiative—a multi-trillion dollar plan to diversify its oil-dependent economy—under the leadership of the Public Investment Fund (PIF). A key turning point in U.S.-Sa... | Wikipedia - Artificial intelligence arms race - By nation > Saudi Arabia | 212 | 1,023 | null |
Section: By nation > United Arab Emirates. The United Arab Emirates has been expanding its role in artificial intelligence and technology through investments in infrastructure and partnerships. One major initiative is MGX, a UAE-backed technology group focused on AI development. In 2025, U.S. President Donald Trump vis... | Wikipedia - Artificial intelligence arms race - By nation > United Arab Emirates | 204 | 1,096 | null |
Section: By nation > European Union. The European Parliament holds the position that humans must have oversight and decision-making power over lethal autonomous weapons. However, it is up to each member state of the European Union to determine their stance on the use of autonomous weapons and the mixed stances of the m... | Wikipedia - Artificial intelligence arms race - By nation > European Union | 179 | 981 | null |
Section: Proposals for international regulation. The international regulation of autonomous weapons is an emerging issue for international law. AI arms control will likely require the institutionalization of new international norms embodied in effective technical specifications combined with active monitoring and infor... | Wikipedia - Artificial intelligence arms race - Proposals for international regulation | 328 | 1,791 | null |
Section: Other reactions to autonomous weapons. A 2015 open letter by the Future of Life Institute calling for the prohibition of lethal autonomous weapons systems has been signed by over 26,000 citizens, including physicist Stephen Hawking, Tesla magnate Elon Musk, Apple's Steve Wozniak and Twitter co-founder Jack Dor... | Wikipedia - Artificial intelligence arms race - Other reactions to autonomous weapons | 162 | 826 | null |
Section: Key components > Data engineering and infrastructure. Data serves as the cornerstone of AI systems, necessitating careful engineering to ensure quality, availability, and usability. AI engineers gather large, diverse datasets from multiple sources such as databases, APIs, and real-time streams. This data under... | Wikipedia - Artificial intelligence engineering - Key components > Data engineering and infrastructure | 168 | 929 | null |
Section: Key components > Security. Security is a critical consideration in AI engineering, particularly as AI systems become increasingly integrated into sensitive and mission-critical applications. AI engineers implement robust security measures to protect models from adversarial attacks, such as evasion and poisonin... | Wikipedia - Artificial intelligence engineering - Key components > Security | 185 | 1,094 | null |
Section: Workload > Problem definition and requirements analysis. Regardless of whether a model is built from scratch or based on a pre-existing model, the work begins with a clear understanding of the problem. The engineer must define the scope, understand the business context, and identify specific AI objectives that... | Wikipedia - Artificial intelligence engineering - Workload > Problem definition and requirements analysis | 160 | 884 | null |
Section: Workload > Data acquisition and preparation. Data acquisition and preparation are critical stages regardless of the development method chosen, as the performance of any AI system relies heavily on high-quality, representative data. For systems built from scratch, engineers must gather comprehensive datasets th... | Wikipedia - Artificial intelligence engineering - Workload > Data acquisition and preparation | 211 | 1,153 | null |
Section: Workload > Model design and training. The workload during the model design and training phase depends significantly on whether the engineer is building the model from scratch or fine-tuning an existing one. When creating a model from scratch, AI engineers must design the entire architecture, selecting or devel... | Wikipedia - Artificial intelligence engineering - Workload > Model design and training | 304 | 1,677 | null |
Section: Workload > System integration. Once the model is trained, it must be integrated into the broader system, a phase that largely remains the same regardless of how the model was developed. System integration involves connecting the AI model to various software components and ensuring that it can interact with ext... | Wikipedia - Artificial intelligence engineering - Workload > System integration | 201 | 1,182 | null |
Section: Workload > Testing and validation. Testing and validation play a crucial role in both approaches, though the depth and nature of testing might differ slightly. For models built from scratch, more exhaustive functional testing is needed to ensure that the custom-built components of the model function as intende... | Wikipedia - Artificial intelligence engineering - Workload > Testing and validation | 235 | 1,287 | null |
Section: Workload > Deployment and monitoring. The deployment stage typically involves the same overarching strategies—whether the model is built from scratch or based on an existing model. However, models built from scratch may require more extensive fine-tuning during deployment to ensure they meet performance requir... | Wikipedia - Artificial intelligence engineering - Workload > Deployment and monitoring | 293 | 1,570 | null |
Section: Machine learning operations (MLOps). MLOps, or Artificial Intelligence Operations (AIOps), is a critical component in modern AI engineering, integrating machine learning model development with reliable and efficient operations practices. Similar to the DevOps practices in software development, MLOps provides a... | Wikipedia - Artificial intelligence engineering - Machine learning operations (MLOps) | 269 | 1,517 | null |
Section: Challenges. AI engineering faces a distinctive set of challenges that differentiate it from traditional software development. One of the primary issues is model drift, where AI models degrade in performance over time due to changes in data patterns, necessitating continuous retraining and adaptation. Additiona... | Wikipedia - Artificial intelligence engineering - Challenges | 160 | 917 | null |
Section: History. AIEd can be traced back as early as in the 1960s, when educators and researchers found the developing possibilities of computers in helping to learn. Computer-based instruction systems made use of program instructions for students to experience interactive learning outcomes. One such example is PLATO,... | Wikipedia - Artificial intelligence in education - History | 169 | 928 | null |
Section: Background. Artificial intelligence could be defined as "systems which display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals". These systems might be software-based or embedded in hardware. They can rely on machine learning or... | Wikipedia - Artificial intelligence in education - Background | 233 | 1,232 | null |
Section: Emerging perspectives. This complex social, cultural, and material assemblage should be seen in its geo-political context. It is likely that AI systems will be shaped by different policy or economic imperatives which will influence the construction, legitimation and use of this assemblage in an education setti... | Wikipedia - Artificial intelligence in education - Emerging perspectives | 171 | 883 | null |
Section: Applications > AI based tutoring system. Intelligent tutors or Intelligent tutoring systems (ITS) such as SCHOLAR system in the 1970s was use for reciprocal questions being asked between teacher and students. The goal of ITS models was to create an artificial interaction between a student and a teacher. ITS in... | Wikipedia - Artificial intelligence in education - Applications > AI based tutoring system | 196 | 1,042 | null |
Section: Ethical concerns > Bias and fairness. AI agents might be trained on biased data according to different company driven agendas. Bias can come in different forms, some of which include: algorithmic, architectural, and machine-learning bias. There are many different kinds of bias that can be introduced to the AI ... | Wikipedia - Artificial intelligence in education - Ethical concerns > Bias and fairness | 156 | 778 | null |
Section: Algorithms effects on education. AI companies that focus on education, are currently preoccupied with generative artificial intelligence (GAI), although data science and data analytics is another popular educational theme. At present, there is little scientific consensus on what AI is or how to classify and su... | Wikipedia - Artificial intelligence in education - Algorithms effects on education | 180 | 910 | null |
Section: Framing education. Educational technology can be a powerful and effective assistant in a suitable setting. Computer companies are constantly updating their technology products. Some educationalists have suggested that AI might automate procedural knowledge and expertise or even match or surpass human capacitie... | Wikipedia - Artificial intelligence in education - Framing education | 216 | 1,295 | null |
Section: Tokens, text and hallucinations. Large language models (LLMs) take text as input data and then generate output text. Coherent sentences are parroted from billions of words and code that has been web-scraped by AI companies or researchers. LLM are often dependent on a huge text corpus that is extracted, sometim... | Wikipedia - Artificial intelligence in education - Tokens, text and hallucinations | 340 | 1,721 | null |
Section: Socio-technical imaginaries. The benefits of multilingualism, grammatically correct sentences or statistically probable texts written about any topic or domain are clear to those who can afford software as a service (SaaS). In edtech, there is a recurrent theme, that "emerging technologies" will transform educ... | Wikipedia - Artificial intelligence in education - Socio-technical imaginaries | 212 | 1,058 | null |
Section: Public goods vs venture capital. At first glance, artificial intelligence in education offers pertinent technical solutions to address future education needs. AI champions envision a future where machine learning and artificial intelligence might be applied in writing, personalization, feedback or course devel... | Wikipedia - Artificial intelligence in education - Public goods vs venture capital | 282 | 1,538 | null |
Section: AI resilient graduates. AI has co-existed comfortably between academia and industry for years. The terrain is shifting and currently AI research in the global north has computing power, large datasets, and highly skilled researchers. Power is shifting away from students and academics toward corporations and ve... | Wikipedia - Artificial intelligence in education - AI resilient graduates | 170 | 906 | null |
Section: Prominent commentators. With the use of AI tools becoming more commonplace in schools, universities and other educational settings, discussion is growing over the benefits and risks (as well as the possible longer-term consequences) of reorganising education around AI. A range of stances are emerging—ranging f... | Wikipedia - Artificial intelligence in education - Prominent commentators | 152 | 775 | null |
Section: Challenges and criticism. Challenges involved are mostly about over reliance on the technology could lead to lesser creativity, critical thinking and problem solving abilities especially if students skip traditional methods. Algorithm errors, hallucination are some of the common flaws found today in AI agents,... | Wikipedia - Artificial intelligence in education - Challenges and criticism | 208 | 1,217 | null |
Article: Artificial intelligence in India. The artificial intelligence (AI) market in India is projected to reach $8 billion by 2025, growing at 40% CAGR from 2020 to 2025. This growth is part of the broader AI boom, a global period of rapid technological advancements with India being pioneer starting in the early 2010... | Wikipedia - Artificial intelligence in India - Summary | 331 | 1,622 | null |
Section: History > Early days (1960s-1980s). The TIFRAC (Tata Institute of Fundamental Research Automatic Calculator) was designed and developed by a team led by Rangaswamy Narasimhan between 1954 and 1960. He worked on pattern recognition from 1961 to 1964 at the University of Illinois Urbana-Champaign's Digital Compu... | Wikipedia - Artificial intelligence in India - History > Early days (1960s-1980s) | 333 | 1,613 | null |
Section: History > Foundation phase > 1980s. In the 1980s, the Indian Statistical Institute's Optical Character Recognition Project was one of the country's first attempts at studying artificial intelligence and machine learning. OCR technology has benefited greatly from the work of ISI's Computer Vision and Pattern Re... | Wikipedia - Artificial intelligence in India - History > Foundation phase > 1980s | 320 | 1,686 | null |
The sale of a lower-end XMP-14 supercomputer was permitted in lieu of the Cray XMP-24 supercomputer due to security concerns. The Center for Development of Advanced Computing was formally established in March 1988 by the Ministry of Communications and Information Technology (previously the Ministry of IT) within the De... | Wikipedia - Artificial intelligence in India - History > Foundation phase > 1980s | 267 | 1,385 | null |
Section: History > Foundation phase > 1990s. From IIT Kanpur, Mohan Tambe joined C-DAC in the 1990s to work on Graphics and Intelligence based Script Technology (GIST), which addressed the challenge of adapting personal computer software based on Latin script to Devanagiri and a number of other Indian language scripts.... | Wikipedia - Artificial intelligence in India - History > Foundation phase > 1990s | 328 | 1,781 | null |
Some of the early AI research in India was driven by societal needs. For example; Eklavya, a knowledge-based program created by IIT Madas, helped community health workers deal with toddler illness symptoms by generating systematic case histories, offering basic treatment advice, or indicating when a referral was necess... | Wikipedia - Artificial intelligence in India - History > Foundation phase > 1990s | 155 | 790 | null |
Section: History > Growth phase. Around 2003, language technology, computer vision, and data science research groups were established at the International Institute of Information Technology, Hyderabad. With an emphasis on applied and translational research, the institute has the largest group of AI and machine learnin... | Wikipedia - Artificial intelligence in India - History > Growth phase | 339 | 1,846 | null |
On 16 November 2018, the Government of Maharastra signed MoU with the NITI Aayog and Wadhwani Institute for Artificial Intelligence to launch ICTAI for rural healthcare in collaboration with PATH, Lords Education and Health Society, Wadhwani Initiative for Sustainable Healthcare, IIT Madras, Sir Ratan Tata Trust, and S... | Wikipedia - Artificial intelligence in India - History > Growth phase | 230 | 1,130 | null |
Section: History > Acceleration phase. INDIAai, a collaborative initiative of the National E-Government Division and NASSCOM for AI-related advancements, was introduced by Ravi Shankar Prasad on 30 May 2020. In partnership with Intel and the Ministry of Education, the Responsible AI for Youth Program was also introduce... | Wikipedia - Artificial intelligence in India - History > Acceleration phase | 328 | 1,658 | null |
The National Research Foundation was created to advance research in a variety of fields, including AI with a budget of ₹50,000 crore for five years. The Union Cabinet approved an extension of the Digital India program in 2023, allocating ₹14,903 crore starting FY2021-22 to FY2025-26 for the addition of nine new superco... | Wikipedia - Artificial intelligence in India - History > Acceleration phase | 327 | 1,492 | null |
With a budget of ₹990 crore, Dharmendra Pradhan announced on October 15, 2024, the creation of three AI Centers of Excellence in New Delhi: one for agricultural (under IIT Ropar), one for sustainable cities (under IIT Kanpur), and one for healthcare (under AIIMS and IIT Delhi). The Center for Generative AI, Shrijan at ... | Wikipedia - Artificial intelligence in India - History > Acceleration phase | 316 | 1,450 | null |
Section: National Mission on Interdisciplinary Cyber-Physical Systems. The mission which has a five-year budget of ₹3,660 crore, was authorized by the Union Cabinet in December 2018 under the Department of Science and Technology. A technological vertical in AI and ML, IoT, data bank and DaaS, data analysis, autonomous ... | Wikipedia - Artificial intelligence in India - National Mission on Interdisciplinary Cyber-Physical Systems | 347 | 1,794 | null |
Section: Legislation. India currently does not have specific laws regulating artificial intelligence (AI). However, the Indian government has introduced several initiatives and guidelines aimed at the responsible development and deployment of AI technologies. The Indian government has tasked NITI Aayog, its apex public... | Wikipedia - Artificial intelligence in India - Legislation | 346 | 1,899 | null |
Other Indian agencies, such as the Bureau of Indian Standards (BIS), are also working on AI policies. BIS has established a committee to propose draft standards for AI, focusing on safety, reliability, and ethical considerations. India has not yet enacted specific AI regulations. However, the government has introduced ... | Wikipedia - Artificial intelligence in India - Legislation | 209 | 1,204 | null |
Section: Bharat GPT initiative. The Bharat GPT is a non-profit initiative, started in February 2023. The goal is to develop India focused multilingual, multimodal large language models and generative pre-trained transformer. Together with the applications and implementation frameworks, the Bharat GPT Consortium intends... | Wikipedia - Artificial intelligence in India - Bharat GPT initiative | 345 | 1,552 | null |
Bharat GPT is anticipated to be activated by speech and gesture recognition. On December 27, 2023, Akash Ambani announced that Jio Platforms and IIT Bombay were collaborating on Bharat GPT program. Jio Platforms will assist Bharat GPT with specialized downstream telecom and retail applications by developing smaller, cu... | Wikipedia - Artificial intelligence in India - Bharat GPT initiative | 209 | 1,072 | null |
Section: Bharat GPT initiative > Hanooman series. Seetha Mahalaxmi Healthcare (SML) revealed the Hanooman series LLM in February 2024 in collaboration with the Bharat GPT Consortium. Among the Hanooman series, the first four AI models—1.5 billion, 7 billion, 13 billion, and 40 billion parameters in size—will be made av... | Wikipedia - Artificial intelligence in India - Bharat GPT initiative > Hanooman series | 347 | 1,541 | null |
Section: BharatGen. IIT Bombay Professor Ganesh Ramakrishnan thought of creating a homegrown solution that would use GenAI and take into account the linguistic and cultural diversity of India. An open-source, multimodal, multilingual, India-centric foundation model called BharatGen was formally introduced on September ... | Wikipedia - Artificial intelligence in India - BharatGen | 307 | 1,568 | null |
The backend algorithm development and the necessary technical work was done by a collaborative team from BharatGen consortium. As of February 2025, the BharatGen consortium has 50–60 researchers and a wide range of student contributors from the Indian Institute of Management Indore, the International Institute of Infor... | Wikipedia - Artificial intelligence in India - BharatGen | 328 | 1,651 | null |
Section: IndiaAI Mission and compute facility. The IndiaAI Mission was approved in 7 March 2024 consisting of seven core pillars, and an allocation of ₹10,371.92 crore (US$1.2 billion) across various components as follows: Additionally, IndiaAI Overheads and Contingency received funding of ₹102.69 crore (US$12 million)... | Wikipedia - Artificial intelligence in India - IndiaAI Mission and compute facility | 308 | 1,401 | null |
Startups, MSMEs, universities, researchers, students, and governmental organizations will all be able to access AI compute, network, storage, platform, and cloud services through the IndiaAI Compute Portal. Easy access to Nvidia H100, H200, A100, L40S, and L4, AMD MI300x and 325X, Intel Gaudi 2, AWS Tranium, and Infere... | Wikipedia - Artificial intelligence in India - IndiaAI Mission and compute facility | 293 | 1,213 | null |
As of May 2025, the Indian government, as part of the IndianAI Mission, is supporting Indian researchers in designing indigenous GPUs. Ashwini Vaishnaw announced AIKosha: IndiaAI Datasets Platform, the AI Compute Portal, the AI Competency Framework for Public Sector Officials, iGOT-AI Mission Karmayogi, the IndiaAI Sta... | Wikipedia - Artificial intelligence in India - IndiaAI Mission and compute facility | 335 | 1,563 | null |
Section: IndiaAI Mission and compute facility > AI Research Analytics and Knowledge Dissemination Platform. With a peak performance of 13,170 teraflops, AIRAWAT-PSAI is the biggest and fastest AI supercomputing machine in India. It was deployed at C-DAC, Pune in 2023 and is maintained by Netweb Technologies. MeitY is a... | Wikipedia - Artificial intelligence in India - IndiaAI Mission and compute facility > AI Research Analytics and Knowledge Dissemination Platform | 321 | 1,426 | null |
With its extensive, power-optimized AI cloud infrastructure, AIRAWAT will serve as a common computational cloud platform for Big Data Analytics and Assimilation, linking all Centers for Research Excellence in Artificial Intelligence (COREs), Indian Centres for Transformational AI (ICTAIs), and other academic, research ... | Wikipedia - Artificial intelligence in India - IndiaAI Mission and compute facility > AI Research Analytics and Knowledge Dissemination Platform | 178 | 959 | null |
Section: International collaboration. Prime Minister Narendra Modi with NITI Aayog officially opened the World Economic Forum's Center for the Fourth Industrial Revolution liaison office in Navi Mumbai on 11 October 2018. It's objective is to foster the responsible adoption and deployment of new technologies by designi... | Wikipedia - Artificial intelligence in India - International collaboration | 327 | 1,666 | null |
In an effort to strengthen ties between NITI Aayog and METI, India and Japan signed a broad statement of intent on AI under "Society 5.0" that included the exploration of potential institutional collaborations, such as joint projects between IIT Hyderabad and Artificial Intelligence Research Centre (National Institute ... | Wikipedia - Artificial intelligence in India - International collaboration | 340 | 1,880 | null |
Thirty-five projects have been selected for implementation by the DST and U.S. National Science Foundation. As part of the United States–India Initiative on Critical and Emerging Technology, the US and India announced setting aside more than $2 million in 2024 for collaborative research initiatives that will advance AI... | Wikipedia - Artificial intelligence in India - International collaboration | 295 | 1,587 | null |
Section: Impact > Agriculture. On December 12, 2023, KissanAI announced the release of Dhenu 1.0, world's first agriculture-specific LLM designed for Indian farmers. It can handle 300,000 instruction sets and understand English, Hindi, and Hinglish queries. The platform provides voice-based, tailored assistance. Kissan... | Wikipedia - Artificial intelligence in India - Impact > Agriculture | 343 | 1,587 | null |
Uttar Pradesh Open Network for Agriculture, a digital public infrastructure, powered by Gemini and Beckn protocol, was launched in January 2025 by the Government of Uttar Pradesh in collaboration with Google Cloud Platform. Farmers will get one-stop access to market linkages, loans, mechanization, and advisory services... | Wikipedia - Artificial intelligence in India - Impact > Agriculture | 319 | 1,597 | null |
An AI-powered chatbot called Kisan e-Mitra was built to help farmers with their questions on Pradhan Mantri Kisan Samman Nidhi scheme in multiple Indian languages. The National Pest Surveillance System uses AI and ML to identify pest infestation, allowing for prompt action for healthier crops and addressing the loss of... | Wikipedia - Artificial intelligence in India - Impact > Agriculture | 318 | 1,540 | null |
Section: Impact > Industry. With an investment of ₹20 crore, Tata Consultancy Services founded the FC Kohli Centre on Intelligent Systems at International Institute of Information Technology, Hyderabad in 2015 to conduct research in the fields of robotics, cognitive sciences, neural language processing, and intelligent... | Wikipedia - Artificial intelligence in India - Impact > Industry | 350 | 1,962 | null |
The Nvidia AI Technology Center was founded at IIT Hyderabad in 2020 with the goal of accelerating AI research and commercialization. It focuses on the application of AI in language comprehension, smart cities, and agriculture. Situational awareness, operator environment analysis, smart appliances, autonomous navigatio... | Wikipedia - Artificial intelligence in India - Impact > Industry | 336 | 1,579 | null |
Examples of these include AI4Bharat's Airawat series, Sarvam AI's OpenHathi series, CoRover.ai's BharatGPT, Tech Mahindra's Indus project, Ola's Krutrim, TWO AI's Sutra series, and SML's series. IIT Delhi's Yardi School of Artificial Intelligence and an Indian deep tech firm KnowDis are working together to create AI mo... | Wikipedia - Artificial intelligence in India - Impact > Industry | 299 | 1,280 | null |
JioBrain includes over 500 REST APIs and data APIs. It can be used for NLP, image-to-video, text-to-music, text-to-image and video, speech-to-speech, speech-to-text translation, code generation, explanation, optimization, and debugging. Additionally, it contains feature engineering, model chaining, and hyperparameter o... | Wikipedia - Artificial intelligence in India - Impact > Industry | 290 | 1,355 | null |
Section: Impact > Defence. A task force for the Strategic Implementation of AI for National Security and Defence was established in February 2018 by the Ministry of Defense's Department of Defence Production. The process of getting the military ready for AI use was started by the MoD in 2019. The Centre for Artificial ... | Wikipedia - Artificial intelligence in India - Impact > Defence | 342 | 1,926 | null |
MoD earmarked ₹1,000 crore annually till 2026 for capacity building, infrastructure setup, data preparation, and Al project implementation. The Indian Army, the Indian Navy and the Indian Air Force set aside ₹100 crore annually for the development of AI-specific applications. The military is already deploying some AI-e... | Wikipedia - Artificial intelligence in India - Impact > Defence | 344 | 1,820 | null |
Section: Impact > Space. MOI-TD, India's first AI lab in space, is being built by TakeMe2Space. AI's potential utility in space will be demonstrated with the MOI-TD mission. In order to foresee natural disasters and comprehend climate change, the MOI-TD will assist with environmental monitoring, weather pattern analysi... | Wikipedia - Artificial intelligence in India - Impact > Space | 288 | 1,313 | null |
Section: Impact > Healthcare. During the COVID-19 pandemic, Qure.ai's AI chest X-ray reporting tool, qXR, was used to identify patients for high, medium, or low risk so that RT-PCR testing could be performed. It can identify pulmonary consolidation, ground-glass opacity, and other signs of COVID-19. The tool provides m... | Wikipedia - Artificial intelligence in India - Impact > Healthcare | 301 | 1,483 | null |
As part of the Interdisciplinary Group for Advanced Research on Birth Outcomes – DBT India Initiative (GARBH-Ini) program, IIT Madras and Translational Health Science and Technology Institute in 2024 created India's first AI model, Garbhini-GA2, which will accurately estimate the age of the fetus in pregnant women in t... | Wikipedia - Artificial intelligence in India - Impact > Healthcare | 349 | 1,727 | null |
Section: Impact > Mobility. In an effort to improve road safety and decrease fatalities by half, Minister of Road Transport and Highways Nitin Gadkari inaugurated Intelligent Solutions for Road Safety through Technology and Engineering (iRASTE) under Mission Zero on September 11, 2021. The pilot project will run for tw... | Wikipedia - Artificial intelligence in India - Impact > Mobility | 254 | 1,318 | null |
Section: Impact > Government. In 2021, the Ministry of Corporate Affairs introduced the first phase of MCA21 V3.0. It will allow for the electronic filing of documents under the corporate law and public access to corporate information. AI will be utilized by the platform to gather, organize, and classify stakeholder co... | Wikipedia - Artificial intelligence in India - Impact > Government | 334 | 1,855 | null |
By integrating with the National Automated Fingerprint Identification System, the cameras will detect suspicious movement of individuals by comparing their faces to a police database, notify control rooms of any criminal activities, and send out alerts against illegal dumping. For a more responsive and linked security ... | Wikipedia - Artificial intelligence in India - Impact > Government | 344 | 1,764 | null |
Section: Impact > Society. Wadhwani AI, a $30 million nonprofit research institute, was established in 2018 by Romesh Wadhwani and Sunil Wadhwani with the goal of enhancing the lives of the world's poorest 2 billion people. New York University, the University of Southern California, India Institutes of Technology, and ... | Wikipedia - Artificial intelligence in India - Impact > Society | 314 | 1,574 | null |
Enhancing access to public services, improving healthcare, increasing agricultural productivity, helping people with learning disabilities, and lessening the effects of climate change are the goals. With the goal of lowering entry barriers in the field of AI, the IndiaAI FutureSkills Initiative will expand the number o... | Wikipedia - Artificial intelligence in India - Impact > Society | 156 | 874 | null |
Section: Safety and regulation. In order to determine whether to create an AI Safety Institute (AISI) that can establish standards, frameworks, and guidelines for AI development without serving as a regulatory body or stifling innovation, MeitY conducted consultation process with Meta Platforms, Google, Microsoft, IBM,... | Wikipedia - Artificial intelligence in India - Safety and regulation | 347 | 1,835 | null |
The institute will promote domestic research and development that is grounded in India's social, economic, cultural, and linguistic diversity and is based on Indian datasets. With the help of academic and research institutions, as well as private sector partners, the institute will follow the hub-and-spoke approach to ... | Wikipedia - Artificial intelligence in India - Safety and regulation | 293 | 1,498 | null |
Article: Artificial intelligence industry in China. The artificial intelligence industry in the People's Republic of China is a rapidly developing multi-billion dollar industry. The roots of China's AI development started in the late 1970s following Deng Xiaoping's economic reforms emphasizing science and technology as... | Wikipedia - Artificial intelligence industry in China - Summary | 332 | 1,817 | null |
Section: History > Late 1970s to early 2010s. Artificial intelligence research and development did not start until the late 1970s after Deng Xiaoping's economic reforms. While there was a lack of AI-related research between the 1950s and 1960s, some scholars believe this is due to the influence of cybernetics from the ... | Wikipedia - Artificial intelligence industry in China - History > Late 1970s to early 2010s | 333 | 1,799 | null |
In the same year, artificial intelligence was also mentioned in the eleventh five-year plan. In 2011, the Association for the Advancement of Artificial Intelligence (AAAI) established a branch in Beijing, China. At same year, the Wu Wenjun Artificial Intelligence Science and Technology Award was founded in honor of Chi... | Wikipedia - Artificial intelligence industry in China - History > Late 1970s to early 2010s | 156 | 831 | null |
Section: History > Late 2010s to early 2020s. The State Council of China issued "A Next Generation Artificial Intelligence Development Plan" (State Council Document [2017] No. 35) on 20 July 2017. In the document, the CCP Central Committee and the State Council urged governing bodies in China to promote the development... | Wikipedia - Artificial intelligence industry in China - History > Late 2010s to early 2020s | 346 | 1,803 | null |
In order to achieve this the State Council stated the need for massive talent acquisition, theoretical and practical developments, as well as public and private investments. Some of the stated motivations that the State Council gave for pursuing its AI strategy include the potential of artificial intelligence for indus... | Wikipedia - Artificial intelligence industry in China - History > Late 2010s to early 2020s | 259 | 1,352 | null |
In July 2023, Huawei released its version 3.0 of its Pangu LLM. In July 2023, China released its Interim Measures for the Administration of Generative Artificial Intelligence Services.: 96 A draft proposal on basic generative AI services safety requirements, including specifications for data collection and model traini... | Wikipedia - Artificial intelligence industry in China - History > Late 2010s to early 2020s | 328 | 1,566 | null |
Section: Government goals. According to a February 2019 publication by the Center for a New American Security, CCP general secretary Xi Jinping – believes that being at the forefront of AI technology will be critical to the future of global military and economic power competition. By 2025, the State Council aims for Ch... | Wikipedia - Artificial intelligence industry in China - Government goals | 336 | 1,747 | null |
Section: Government goals > Research and development. Chinese public AI funding mainly focused on advanced and applied research. The government funding also supported multiple AI R&D in the private sector through venture capitals that are backed by the state. Much analytic agency research showed that, while China is ma... | Wikipedia - Artificial intelligence industry in China - Government goals > Research and development | 345 | 2,000 | null |
China ranked in the top three worldwide following the United States and the European Union for the total number of peer-reviewed AI publications that are produced under a corporate-academic partnership between 2015 and 2019. Besides, according to an AI index report, China surpassed the U.S. in 2020 in the total number ... | Wikipedia - Artificial intelligence industry in China - Government goals > Research and development | 222 | 1,088 | null |
Section: Government goals > Censorship and content controls. In April 2023, the Cyberspace Administration of China (CAC) issued draft measures stating that tech companies will be obligated to ensure AI-generated content upholds the ideology of the CCP including Core Socialist Values, avoids discrimination, respects int... | Wikipedia - Artificial intelligence industry in China - Government goals > Censorship and content controls | 323 | 1,740 | null |
Section: Leading companies. Leading AI-centric companies and start-ups include Baidu, Tencent, Alibaba, SenseTime, 4Paradigm and Yitu Technology. Chinese AI companies iFlytek, SenseTime, Cloudwalk and DJI have received attention for facial recognition, sound recognition and drone technologies. China's government takes ... | Wikipedia - Artificial intelligence industry in China - Leading companies | 256 | 1,074 | null |
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