Event Schedule

Shri Sanjay Dhotre, Union Minister of State for Human Resource Development, Communications and Electronics & Information Technology, Government of India and Prof Anil Sahasrabudhe, Chairman, All India Council for Technical Education

Fully autonomous weapons, also known as "killer robots," would be able to select and engage targets without meaningful human control. Prof Walsh is fighting against the killer robots. 100+ founders of AI and Robotics companies including Elon Musk, Mustafa Suleyman and Dr Juergen Schmidhuber supports the fight he is leading.

Jim is leading the deployment of a machine learning industrial robotic workforce to undertake mining, manufacturing and construction on planetary surfaces and in space.

OffWorld’s industrial robotic workforce forms the foundation of a solar system platform that will enable the construction of fuel depots, space based solar power stations, infrastructure and entire settlements in space.

Dr Pandey will address about his focus on uncovering and addressing new challenges, which are being evolved, as robots have started to co-existing in a human centered environment. He will be also addressing the design and development of new robots and their behaviors and intelligence, the theory, frameworks and algorithms for Task, Motion and Manipulation Planning and Learning for robots, which apart from assuring safety, enable robots to behave in a comfortable, intuitive, socially acceptable and socially expected manner.

India is one of the latest entrants in the data protection arena, with the Personal Data Protection (PDP) Bill- drafted by Sri Krishna committee – already approved by Union Cabinet of the Government of India. Personal data protection law to govern the collection, storage and processing of data by public and private entities is expected next in India’s data privacy narrative.

Artificial Intelligence (AI), especially the field of machine learning (ML), is transforming virtually all aspects of our lives. This talk describes our preliminary efforts at Google Research India to tackle problems arising in the Indian context and beyond. We start with examples of opportunities to apply ML to accelerate science and its applications, and some early results. We then describe a critical need and an opportunity to improve health outcomes globally at lower costs, and specific challenges in countries like India of an acute shortage of doctors. As examples, we describe a convolutional neural network based solution developed by our researchers for more effective screening of diabetic retinopathy, as well as ongoing efforts towards prevention of cardiovascular disease. We describe our AI for Social Good program through which we are addressing issues like public health, education and wildlife conservation, in partnership with NGOs and academic researchers. We describe challenges arising due to factors like diversity of languages and code mixing for Google products like Search and Assistant, which are being used daily by tens of millions of users in India, and our natural language processing research. Finally, we describe outstanding challenges associated with the overall field of AI itself, like safety, data privacy, and fairness, and our guiding principles and directions to address them.

Floods are among the most common and deadly natural disasters on the planet, affecting hundreds of millions of people annually. Despite their striking impact, the majority of those vulnerable to flooding globally do not have access to timely, accurate or actionable warnings. In this talk we'll explore the end-to-end process from exploratory research to operational deployment, and discuss how combining physics-based models with machine learning can improve the accuracy, generalizability and scale of flood forecasting systems.

The talk shall essentially focus on the big data perspective of scholarly data and the range of commercially viable solutions that can be developed in this domain using integrated use of technologies like natural language processing, machine learning and deep learning.

The coronavirus crisis has brought an unprecedented level of worldwide scientific collaboration. Artificial Intelligence (AI) based on Neural Networks (NNs) and Deep Learning can help to fight Covid-19 in many ways. Hear from the Father of Modern Artificial Intelligence on how AI can fight against COVID19.

From floppy disks to thumb drives, every method of storing data eventually becomes obsolete. What if we could find a way to store all the world's data forever? Bioinformatician Dina Zielinski shares the science behind a solution that's been around for a few billion years: DNA.

Are you confused about what it takes to be a data scientist? Curious about how companies recruit, train and manage analytics resources? You are not alone. Many employers, educators, and managers are struggling with these issues. In fact, tremendous resources are being wasted by employers on interviewing candidates who claim knowledge of Data Science that are not even qualified for such positions. This presentation covers insight from a very comprehensive research effort to-date on the data analytics profession, proposes a framework for standardization of roles in the industry and methods for assessing skills.