To increase the internet content of Indian Languages in different domains India is home to a multitude of languages of which 22 languages are recognised by the Indian Constitution as official. As part of the Speech Consortium of the NLTM-R&D Building speech based applications for the Indian population which is led by Indian Institute of Technology Madras is a difficult problem owing to limited data and the number (IITM), SPRING Lab of IITM has collected and is collecting of languages and accents to accommodate. To encourage the legally sourced and manually transcribed speech corpus in language technology community to build speech based applications various Indian languages such as Tamil, Hindi, Indian English, in Indian languages, we are open sourcing SPRING-Marathi, Bengali, Malayalam, Telugu, Assamese, Kannada, INX data which has about 2000 hours of legally sourced and Gujarati, Odia, Punjabi. Bodo and Manipuri through manually transcribed speech data for ASR system building speech data collection agencies identified using a tendering in Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, process. The data collected has been carefully evaluated by Marathi, Odia, Punjabi and Tamil. This endeavor is by the Speech Quality Control (SQC) team led by KL University. SPRING Lab, Indian Institute of Technology Madras and is We are releasing the first set of valuable data amounting a part of National Language Translation Mission (NLTM), to 2000 hours (both Audio and corresponding manually transcribed funded by the Indian Ministry of Electronics and Information transcriptions) which was collected, cleaned and prepared Technology (MeitY), Government of India. We describe the for ASR system building in 10 Indian languages such data collection and data cleaning process along with the data as Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, statistics in this paper.

Generative AI platforms have been the rage since the second half of last year with Microsoft and Google pushing these programs into their existing services. Even the Ministry of Electronics and Information Technology (MeitY), on 3 February, said it is "cognizant" of the emergence and proliferation of generative AI and noted that AI can be a "kinetic enabler" for growth in India. However, researchers at institutes underline a host of challenges for generative AI projects in academia, the biggest of which lie in sourcing ample data of Indic languages, the cost of such projects, and the scale of computing power needed. Indian researchers have been working on such projects for more than three years. "In academia, we're using techniques from language models, namely the transformer architecture, for different tasks such as classification of data, answering questions, machine translation and building chatbots," said Tapas Kumar Mishra, assistant professor of computer science engineering at National Institute of Technology (NIT), Rourkela.

Indian Institute of Technology (IIT) Madras intends to begin a variety of artificial intelligence initiatives for the Responsible AI Center with the recent funding of $1 million from Google. FE Education was informed by B Ravindran, director of the Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras. According to Ravindran, "We seek to increase the accuracy rate of any AI-based system and focus on excluded populations and women-specific industries." It's interesting to note that the Responsible AI Center at IIT Madras will work in collaboration with many stakeholders. "One of our stakeholders is Google. We intend to collaborate with other industry leaders from a variety of fields, such as law, finance, and education, in the upcoming fiscal year, Ravindran said. The AI Center seeks to advance the use of artificial intelligence in a variety of industries, including banking and finance, government policy, education, and health care, among others. To make AI accessible in all industries throughout India, Ravindran stated, "We will also do seminars and awareness campaigns.

Google on Monday announced a $1 million grant to IIT Madras to set up a multi-disciplinary centre for responsible artificial intelligence to study and research various aspects of bias in AI while focusing on the Indian context. The tech giant is also going to offer a similar amount to independent non-profit Wadhwani AI in order to develop AI models which will help monitor crop diseases, predict yield outcomes and bring efficiencies to Kisan call centers. By providing @WadhwaniAI with this grant, we are enabling them to improve farmer outcomes by providing information on crop disease risks, yield forecasts and much more.#GoogleForIndia At the Google for India 2022 event, the company also announced that it will contribute to the agri stack as defined by the government of India through a combination of AI and remote sensing to better manage the problems arising in agriculture. Manish Gupta, Director of Google Research India, told the Indian Express that the tech giant will use its AI models over satellite images to identify things like the location of farms and farm boundaries to better understand the agricultural landscape.

According to the World Health Organisation, cancer accounted for nearly one in six deaths in 2020. Cancer can occur due to mutations in oncogenes or tumour suppressor genes or both. However, not all mutations result in cancer. Therefore, it is important to identify the genes causing cancer to devise personalised treatment strategies. IIT Madras researchers have developed an artificial intelligence-based tool, 'PIVOT', that can predict cancer-causing genes in an individual.

As part of the 36th AAAI Conference on Artificial Intelligence (AAAI2022), 39 different workshops were held, covering a wide range of different AI topics. We hear from the organisers of the workshops on AI-Based Design and Manufacturing, and Graphs and more Complex structures for Learning and Reasoning, who provide a summary of their events. The first AI for Design and Manufacturing (ADAM) Workshop, conducted virtually as part of AAAI-22, was organized in order to bring together world experts in core AI, scientific computing, geometric modeling, design, and manufacturing. The primary objectives were to outline the major research challenges in this rapidly growing sub-field of AI; cross-pollinate collaborations between AI researchers and domain experts in engineering design and manufacturing; and sketch open problems of common interest. This one-day workshop consisted of two plenary talks, four keynote talks, and twenty-four lightning talks by authors of accepted papers.

India is expected to invest $1 billion in artificial intelligence by 2023, according to a recent report from Project Management Institute (PMI), a Philadelphia-based non-profit organisation. Last year, the Indian government allocated $477 million to boost the country's AI ecosystem. Further, as part of the National Education Policy (NEP), AI will be introduced in school curriculums. Inarguably, India is making bottom-up changes to become an AI superpower. Below, we take a look at the latest AI courses offered by Indian institutions.

New Delhi, Feb 27, 2021- Researchers from Google Research and IIT Madras have designed an AI technology that could provide an indication of women who are at risk of dropping out from the health information programme. The technology has helped non-profit organisation ARMMAN to personalise interventions and retain women in the health programmes, improving maternal health outcomes. Test results demonstrated that use of AI technology was able to bring down the risk of drop-offs by up to 32 per cent for women at high risk of dropping out, Google has announced. ARMMAN runs mMitra, a free mobile voice call service that sends timely and targeted preventive care information to expectant and new mothers. "Adherence to such public health programs is a big challenge but timely intervention to retain people is beneficial to improve maternal health outcomes," Google said.

While normal education suffered a standstill in 2020, there were a lot of online courses and programs that were initiated by some of the most prestigious institutions as well as big tech giants so that the process of learning and skill development doesn't suffer. As the trend has been for a few years now, some of the most interesting initiatives were seen in the field of data science. In this article, we have listed some of the prominent data science education programs and initiatives in 2020. Microsoft, in collaboration with Netflix, has launched three new learning modules on beginners concepts in data science, along with machine learning and artificial intelligence. The design of these courses is inspired by the Netflix original film -- 'Over The Moon,' where a young girl Fei Fei, who builds a rocket to the moon, embarks on a mission to prove the existence of Moon Goddess.

When it comes to innovations in AI, Tier-1 institutes such as IIT have been trying to leave no stone unturned. IITs have been performing a lot of research work in the field of emerging technologies like AI, machine learning, blockchain, among others. The institutes are also joining hands with the government and various other prominent organisations to launch the Centre of Excellence (CoE), Research & Development Centres (R&Ds), among others. In this list, we have curated the top AI initiatives, in no particular order, by IIT in the year 2020. In January, Indian Institute of Technology, Kharagpur has evolved an AI-aided method to read legal judgements.