Yardi ScAI Yardi School of Artificial Intelligence (Yardi ScAI) at IIT Delhi was established in September 2020 to strengthen education and research in artificial intelligence (AI), machine learning (ML), data science (DS) and their broad applications such as in healthcare, materials science, robotics, industry 4.0, weather prediction, and transportation. The focus on applications makes the school multidisciplinary – it currently has support from 40+ faculty members working in several departments. These include departments that typically hire core AI, ML and DS researchers, such as computer science, electrical engineering, and mathematics. It also includes researchers specialising in the use of AI for various domains, for example, biomedical engineering, atmospheric sciences, management sciences, and civil engineering. Courses Offered MS(R) Program The MS(R) program is a flagship educational program for the Yardi ScAI at IIT Delhi. The curriculum includes graduate-level courses in core AI technologies like Deep Learning and Data Science, Application-oriented courses like Computer Vision and Natural Language Processing, and also fundamental courses on Mathematics underlying modern AI technologies. While the coursework requirements are significantly relaxed for MS(R) students, they are expected to lead original research efforts, culminating in a thesis and publications, preparing them for roles in both industry and academia. M.Tech. Machine Intelligence & Data Science (MINDS) The M.Tech. in Machine Intelligence & Data Science (MINDS) is a flagship educational programme for the Yardi ScAI at IIT Delhi, and started in July 2022. The MINDS curriculum includes graduate-level courses in core AI technologies like deep learning and data science, application-oriented courses like computer vision and natural language processing, and also fundamental courses on the mathematics underlying modern AI technologies. The students who join the MINDS program will have to complete a set of core courses, bridge core courses, program electives, and a project. These courses could be from course buckets such as mathematics, learning, data science, and applications. PhD Program in AI/ML Yardi ScAl stands at the forefront of AI research, covering a wide range of areas such as machine learning, natural language processing, computer vision, robotics, Earth observation and more. The faculty members are experts in their respective fields, leading cutting-edge research across various disciplines. Additionally, generous grants are provided to PhD scholars, on top of the standard stipend. An additional honorarium of 10,000 INR per month is provided to each student, contingent on their good performance in PhD coursework and maintaining a CGPA of 8 or higher. Furthermore, a grant of 2 lakhs INR for equipment is provided to every PhD student, and an additional 5 lakhs INR for travel grants to present papers at top conferences or publish journal articles as open access. Research Areas Machine Learning: ScAI has a strong presence of researchers working in core Machine Learning. The research focuses on several areas, including Neuro-symbolic reasoning, Deep Generative Models, Graph Neural Networks and Fairness in Machine Learning. Information Retrieval: Data Science is about using computational methods to enable government, public and private organizations to generate actionable, valuable data-driven insights. The use of predictive, prescriptive, and causal analysis techniques on massive volumes of data is shown to help in making better decisions, accurate prognosis, and, in general, to develop novel strategies that are game-changing. In order to be effective, data scientists require not only sophisticated and scalable methods but also the infrastructure–computing, storage, network, software, information management tools, and so on– that can help them to work with massive volumes of rapidly growing data. Natural Language Processing: Understanding human languages has been a cornerstone application of AI. NLP Group at ScAI focuses on two salient research agendas. First, it builds AI systems that process information expressed in text via information extraction, and share this information to users through question answering and dialog systems. The group is known for its influential work in open information extraction, where information is extracted in an open schema. Second, ScAI has initiated a massive effort in building multilingual NLP systems for machine translation, information extraction and knowledge base completion. One focus of the group is on translation among Indian languages, which are low-resource. Use of massive language models trained on Indian language datasets in conjunction with syntactic processing of text might suggest a solution for Indian language machine translation. The group also expects to use this technology in the context of various applications such as healthcare, law and education. Computer Vision: ScAI has a strong presence of researchers working in Computer Vision. The research focuses on several areas, including trustworthy AI, learning with limited annotated data, autonomous driving, medical imagery, and satellite vision. Reinforcement Learning: Reinforcement learning (RL) is one of the core areas of AI/ML focused on how agents should take actions in a given environment to maximise some notion of cumulative reward. An RL agent learns to make decisions by exploring different actions and observing their outcomes over time, optimising its strategy to achieve the best long-term results. RL has a wide range of applications across different domains, demonstrating its ability to address complex sequential decision-making problems. Applications Industry 4.0 Health Care Materials Robotics Climate and Earth Observation For more details, visit Yardi ScAI Source: Yardi ScAI