USI-AI Activities Data List

USIAI ACTIVITIES

USI-AI Activities Description Data List Content

The IUSSTF will organize a series of activities to engage government agencies, academic institutions, industries that are creating AI tools and technologies, professional scientific societies, and foundations.

The Call to Action highlights the importance of the Indo-U.S. Science and Technology partnership, articulate the shared vision, and encourage key stakeholders to participate and engage in the discussions to help develop a comprehensive outline for collaboration in Artificial Intelligence.

17th March 2021, Wednesday, 5:30PM-8:00PM IST / 8:00AM-10:30AM EDT / 5:00AM - 7:30AM PDT

Inaugural Talks:

Ashutosh Sharma

Secretary, Department of Science and Technology, Government of India

Jonathan Margolis

Acting Deputy Assistant Secretary for Science, Space and Health, Bureau of Oceans and International Environmental and Scientific Affairs, U.S. Department of State

 

Keynote Talks :

Sethuraman "Panch" Panchanathan

Director, National Science Foundation

Kris Gopalakrishnan

Chairman of Axilor Ventures

Panel Discussion: With the USIAI Joint Steering Committee comprising of representatives of the IUSSTF board and lead AI experts.

ROUNDTABLE ON AI IN HEALTHCARE

ROUNDTABLES ON TRUSTWORTHY AI

Roundtable on AI in Healthcare

  • Roundtable 1
  • Roundtable 2
  • Roundtable 3
  • Roundtable 4
AI and Pandemic Preparedness - Predictive Modelling and Pathogen Surveillance

December 2, 2021

Brief Description: AI tools and technologies are being widely used to inform clinical and public health decision making to manage the COVID-19 pandemic. The roundtable will focus on understanding how AI can enable the development of early warning systems, hotspot prediction, modelling and prediction of emerging pathogens & strains, and the associated data challenges. The roundtable will highlight opportunities for synergy between the two countries and identify barriers and challenges in adopting and implementing AI in this critical area.

Moderators:

Roundtable on AI in Healthcare - Moderators

Abhiroop Gandhi
Abhiroop Gandhi
Anurag Mairal
Anurag Mairal
Raghu Dharmaraju
Raghu Dharmaraju
Tavpritesh Sethi
Tavpritesh Sethi

Panellists:

Roundtable on AI in Healthcare - PanelList

Aditya Prakash
Ajitesh Srivastava
Anurag Agrawal
Cecile Viboud
Gagandeep Kang
Giridhara R Babu
K. Chandrasekhar
Mahesh Bhalgat
Manindra Agrawal
Mintu Turakhia
Mohammad Ameel
Mohanasankar Sivaprakasam
Monica Gandhi
Prashant Warier
Randeep Guleria
Renu Swarup
Sandeep Dewan
Santosh Kumar
Sherri Douville
Shoibal Datta
Smisha Agarwal
Sumit Kumar Nagpal
Syra Madad
Wendy Taylor

While the roundtable is a closed event, we welcome comments and suggestions at usindia.ai@gmail.com

AI and Pandemic Preparedness - Vaccines Discovery and Drug Repurposing

December 7, 2021

Brief Description: AI tools and technologies have being widely used to develop new diagnostics and treatments for COVID-19, and to inform clinical and public health decision making. The roundtable will focus on understanding the role of AI in accelerating vaccine discovery and development, modelling and prediction of emerging pathogens and strains, drug repurposing using big-data and machine learning, and the associated data challenges. The roundtable will highlight opportunities for synergy between the two countries and identify barriers and challenges in adopting and implementing AI in this critical area. This roundtable will bring together infectious disease experts, physicians, and biotech/pharma leaders.

Moderators:

Roundtable on AI in Healthcare - Moderators

Abhiroop Gandhi
Abhiroop Gandhi
Anurag Mairal
Anurag Mairal
Raghu Dharmaraju
Raghu Dharmaraju
Tavpritesh Sethi
Tavpritesh Sethi

Panellists:

Roundtable on AI in Healthcare - PanelList

Aditya Prakash
Ajitesh Srivastava
Anurag Agrawal
Cecile Viboud
Gagandeep Kang
Giridhara R Babu
K. Chandrasekhar
Mahesh Bhalgat
Manindra Agrawal
Mintu Turakhia
Mohammad Ameel
Mohanasankar Sivaprakasam
Monica Gandhi
Prashant Warier
Randeep Guleria
Renu Swarup
Sandeep Dewan
Santosh Kumar
Sherri Douville
Shoibal Datta
Smisha Agarwal
Sumit Kumar Nagpal
Syra Madad
Wendy Taylor

While the roundtable is a closed event, we welcome comments and suggestions at usindia.ai@gmail.com

AI and mHealth

March 24, 2022

Brief Description: Sensor-based devices are ubiquitous in today's world. Therapeutic devices too are starting to get embedded with sensors for a closed-loop or physician-driven open-loop intervention. These devices can collect valuable data about a user’s or patient’s health. Collecting and analysing these data and supplementing it with patient-provided information through apps and other home monitoring devices can offer a unique perspective on individual and population health. Artificial intelligence will play a significant role in extracting actionable insights from these large and varied treasure troves of data.

 

The discussions will focus on techniques for processing real-time observational inputs and continuously learning from data (including from connected medical or consumer devices) to gain a better understanding of individual and population health, as well as developing tools for collecting, analysing, and diagnosing health information.

Moderators:

Roundtable on AI in Healthcare - Moderators

Abhiroop Gandhi
Abhiroop Gandhi
Anurag Mairal
Anurag Mairal
Raghu Dharmaraju
Raghu Dharmaraju
Tavpritesh Sethi
Tavpritesh Sethi

Panellists:

Roundtable on AI in Healthcare - PanelList

Aditya Prakash
Ajitesh Srivastava
Anurag Agrawal
Cecile Viboud
Gagandeep Kang
Giridhara R Babu
K. Chandrasekhar
Mahesh Bhalgat
Manindra Agrawal
Mintu Turakhia
Mohammad Ameel
Mohanasankar Sivaprakasam
Monica Gandhi
Prashant Warier
Randeep Guleria
Renu Swarup
Sandeep Dewan
Santosh Kumar
Sherri Douville
Shoibal Datta
Smisha Agarwal
Sumit Kumar Nagpal
Syra Madad
Wendy Taylor

While the roundtable is a closed event, we welcome comments and suggestions at usindia.ai@gmail.com

AI and mHealth

March 29, 2022

Brief Description: Mobile technologies offer the potential to reduce the costs of conducting clinical trials by collecting information on health outcomes in real-world settings that are relevant to patients and clinicians. These technologies also offer unique opportunities to improve the quality and efficiency of clinical trials, in part through high-quality data collection in settings outside of the health care facility or clinic, such as in the study participant’s home or workplace. There are, at the same time, risks and concerns about such sources of data, ranging from privacy, security, potential for misuse, and overwhelming healthcare systems which are not yet ready to make appropriate use of valuable data. There is an even more fundamental concern facing us all: health equity. Many of these devices may not be accessible to underserved communities.

 

The discussions will focus on (1) Accelerating clinical evidence generation for expediting access to therapies by leveraging mHealth tools to support virtual studies and blending real-world evidence with randomized controlled trials. (2) Developing a framework for leveraging advanced health technologies to ensure/enhance health equity.

Moderators:

Roundtable on AI in Healthcare - Moderators

Abhiroop Gandhi
Abhiroop Gandhi
Anurag Mairal
Anurag Mairal
Raghu Dharmaraju
Raghu Dharmaraju
Tavpritesh Sethi
Tavpritesh Sethi

Panellists:

Roundtable on AI in Healthcare - PanelList

Aditya Prakash
Ajitesh Srivastava
Anurag Agrawal
Cecile Viboud
Gagandeep Kang
Giridhara R Babu
K. Chandrasekhar
Mahesh Bhalgat
Manindra Agrawal
Mintu Turakhia
Mohammad Ameel
Mohanasankar Sivaprakasam
Monica Gandhi
Prashant Warier
Randeep Guleria
Renu Swarup
Sandeep Dewan
Santosh Kumar
Sherri Douville
Shoibal Datta
Smisha Agarwal
Sumit Kumar Nagpal
Syra Madad
Wendy Taylor

While the roundtable is a closed event, we welcome comments and suggestions at usindia.ai@gmail.com

Roundtbales on Trustworthy AI

  • Roundtable 1
  • Roundtable 2
  • Roundtable 3
  • Roundtable 4
  • Roundtable 5
Trustworthy AI for Social Good: AI technologies in the Indian and U.S. contexts

July 27, 2021

Brief Description: As AI technologies are now being used in many varying high risk application domains in India and the U.S., it is imperative that they be worthy of trust. But what are those applications and how are they similar and different in the contexts of the two countries? Are the possible harms and benefits of AI the same? Can AI be a force for empowering society and reducing inequities or will it lead to a dystopian future in both countries? What are the best applications of AI for social good in the context of India and the U.S.?

Moderators:

Roundtbales on Trustworthy AI - Moderators

Amit Deshpande
Kush Varshney
Kush Varshney
Mayank Vatsa
Mayank Vatsa
Salman Avestimehr

Panellists:

Roundtbales on Trustworthy AI - PanelList

Abhijnan Chakraborty
Amba Kak
Amber Sinha
Amit Sethi
Amit Sharma
B.M. Mehtre
Balaram Ravindran
Bill Thies
Chandramani Singh
Gaurav Aggarwal
Gretchen Greene
Hridesh Rajan
John Richards
Jonathon Phillips
Krishnaram Kenthapadi
Malavika Jayaraman
Mausam
Michelle Shevin
Milind Tambe
Nalini Ratha
Narendra Ahuja
Nika Haghtalab
Nisheeth K. Vishnoi
Partha Pratim Chakrabarti
Peter Kairouz
Prem Natarajan
Raghavendra Bhat
Rahul Matthan
Rahul Panicker
Rama Chellappa
Ramesh Raskar
Richa Singh
Sameep Mehta
Sampath Kannan
Sandy Pentland
Shrikanth Narayanan
Shweta Mohandas
Srujana Merugu
Vidushi Marda
Vineeth Balasubramanian
Vivek Raghavan

While the roundtables are closed events, we welcome comments and suggestions from all working in this area. You can share your inputs here.

Principles of Trustworthy AI: Comparing Western and Non-Western conceptions of fairness and AI ethics

July 29, 2021

Brief Description: A principled approach to Trustworthy AI needs to revisit, and think beyond, standard outcome-based notions (e.g., demographic parity, equal opportunity) that are suited to fair classification and aligned with certain civil rights and labor laws in the US. Ethical behavior and trustworthiness are inherently human qualities whose definitions vary based on the underlying context. What is justice, in theory and practice, also varies based on the law of the land. Following the western notion of business, applications of trustworthy AI are often seen as exchange of goods and services with utilities for various stakeholders, supported by certain beliefs about labor, ownership, property, rights. This track will focus on understanding the above in different non-Western contexts, important challenges therein, and fundamental trade-offs between multiple desired properties in trustworthy AI.

Moderators:

Roundtbales on Trustworthy AI - Moderators

Amit Deshpande
Kush Varshney
Kush Varshney
Mayank Vatsa
Mayank Vatsa
Salman Avestimehr

Panellists:

Roundtbales on Trustworthy AI - PanelList

Abhijnan Chakraborty
Amba Kak
Amber Sinha
Amit Sethi
Amit Sharma
B.M. Mehtre
Balaram Ravindran
Bill Thies
Chandramani Singh
Gaurav Aggarwal
Gretchen Greene
Hridesh Rajan
John Richards
Jonathon Phillips
Krishnaram Kenthapadi
Malavika Jayaraman
Mausam
Michelle Shevin
Milind Tambe
Nalini Ratha
Narendra Ahuja
Nika Haghtalab
Nisheeth K. Vishnoi
Partha Pratim Chakrabarti
Peter Kairouz
Prem Natarajan
Raghavendra Bhat
Rahul Matthan
Rahul Panicker
Rama Chellappa
Ramesh Raskar
Richa Singh
Sameep Mehta
Sampath Kannan
Sandy Pentland
Shrikanth Narayanan
Shweta Mohandas
Srujana Merugu
Vidushi Marda
Vineeth Balasubramanian
Vivek Raghavan

While the roundtables are closed events, we welcome comments and suggestions from all working in this area. You can share your inputs here.

Trustworthy Security Systems (Biometrics)

August 3, 2021

Topic Description:   Data-driven modern machine learning and computer vision algorithms are utilized in building (biometrics based) secure identity management systems. These systems have shown superlative performance in several nation-level identity projects. However, challenges such as fairness, robustness against attacks, explainability, trustability, and privacy preserving are still largely unaddressed. In order to build a trustworthy secure society, handling these challenges in the identity management solutions is exceptionally important. This can be achieved via carefully crafting frameworks, building unbiased and robust algorithms, and conscientious implementations of systems with explainability and privacy features. This track will highlight the challenges and possible future directions to mitigate them.

Moderators:

Roundtbales on Trustworthy AI - Moderators

Amit Deshpande
Kush Varshney
Kush Varshney
Mayank Vatsa
Mayank Vatsa
Salman Avestimehr

Panellists:

Roundtbales on Trustworthy AI - PanelList

Abhijnan Chakraborty
Amba Kak
Amber Sinha
Amit Sethi
Amit Sharma
B.M. Mehtre
Balaram Ravindran
Bill Thies
Chandramani Singh
Gaurav Aggarwal
Gretchen Greene
Hridesh Rajan
John Richards
Jonathon Phillips
Krishnaram Kenthapadi
Malavika Jayaraman
Mausam
Michelle Shevin
Milind Tambe
Nalini Ratha
Narendra Ahuja
Nika Haghtalab
Nisheeth K. Vishnoi
Partha Pratim Chakrabarti
Peter Kairouz
Prem Natarajan
Raghavendra Bhat
Rahul Matthan
Rahul Panicker
Rama Chellappa
Ramesh Raskar
Richa Singh
Sameep Mehta
Sampath Kannan
Sandy Pentland
Shrikanth Narayanan
Shweta Mohandas
Srujana Merugu
Vidushi Marda
Vineeth Balasubramanian
Vivek Raghavan

While the roundtables are closed events, we welcome comments and suggestions from all working in this area. You can share your inputs here.

Institutional Trust

August 5, 2021

Topic Description: Trustworthy AI can be developed in two distinct ways: (1) individual AI systems that have properties such as fairness, robustness, and explainability, and (2) the institution of AI as a higher-level concept that is transparent and certified. The first way is more suited for awakening trust among experts, whereas the second way is more suitable for the general public. In this Roundtable, we will focus on the second institutional track for trustworthy AI and discuss the methods that may be pursued. The discussion will consider both United States and India, as well as local and central contexts where there are varying amounts of existing AI regulations.

Moderators:

Roundtbales on Trustworthy AI - Moderators

Amit Deshpande
Kush Varshney
Kush Varshney
Mayank Vatsa
Mayank Vatsa
Salman Avestimehr

Panellists:

Roundtbales on Trustworthy AI - PanelList

Abhijnan Chakraborty
Amba Kak
Amber Sinha
Amit Sethi
Amit Sharma
B.M. Mehtre
Balaram Ravindran
Bill Thies
Chandramani Singh
Gaurav Aggarwal
Gretchen Greene
Hridesh Rajan
John Richards
Jonathon Phillips
Krishnaram Kenthapadi
Malavika Jayaraman
Mausam
Michelle Shevin
Milind Tambe
Nalini Ratha
Narendra Ahuja
Nika Haghtalab
Nisheeth K. Vishnoi
Partha Pratim Chakrabarti
Peter Kairouz
Prem Natarajan
Raghavendra Bhat
Rahul Matthan
Rahul Panicker
Rama Chellappa
Ramesh Raskar
Richa Singh
Sameep Mehta
Sampath Kannan
Sandy Pentland
Shrikanth Narayanan
Shweta Mohandas
Srujana Merugu
Vidushi Marda
Vineeth Balasubramanian
Vivek Raghavan

While the roundtables are closed events, we welcome comments and suggestions from all working in this area. You can share your inputs here.

Federated AI and Computational Trust

August 11, 2021

Brief Description: Federated Learning (FL) is transforming the machine learning ecosystem from “centralized over-the-cloud” to “decentralized across-users”, in order to strengthen users’ privacy, enable much better personalized AI services, and overcome regulatory barriers in large-scale deployment. The goal of this panel is to discuss, shed light, and make recommendations on broad societal and technical fundamental challenges that would arise in FL, in particular on its trustworthiness, reliability, fairness and bias, security, applications, and regulatory aspects.

Moderators:

Roundtbales on Trustworthy AI - Moderators

Amit Deshpande
Kush Varshney
Kush Varshney
Mayank Vatsa
Mayank Vatsa
Salman Avestimehr

Panellists:

Roundtbales on Trustworthy AI - PanelList

Abhijnan Chakraborty
Amba Kak
Amber Sinha
Amit Sethi
Amit Sharma
B.M. Mehtre
Balaram Ravindran
Bill Thies
Chandramani Singh
Gaurav Aggarwal
Gretchen Greene
Hridesh Rajan
John Richards
Jonathon Phillips
Krishnaram Kenthapadi
Malavika Jayaraman
Mausam
Michelle Shevin
Milind Tambe
Nalini Ratha
Narendra Ahuja
Nika Haghtalab
Nisheeth K. Vishnoi
Partha Pratim Chakrabarti
Peter Kairouz
Prem Natarajan
Raghavendra Bhat
Rahul Matthan
Rahul Panicker
Rama Chellappa
Ramesh Raskar
Richa Singh
Sameep Mehta
Sampath Kannan
Sandy Pentland
Shrikanth Narayanan
Shweta Mohandas
Srujana Merugu
Vidushi Marda
Vineeth Balasubramanian
Vivek Raghavan

While the roundtables are closed events, we welcome comments and suggestions from all working in this area. You can share your inputs here.

EXPERT INTERVIEWS

SURVEY

VISIONING WORKSHOP

Indo-U.S. Visioning Workshop

Developing a Diverse, Robust AI Workforce

10 - 11 August 2022 | Indian Institute of Science, Bengaluru

Overview

The promise and potential of Artificial Intelligence (AI) to disrupt and transform society is driving the new Industrial Revolution. From deep learning algorithms for cancer diagnosis, application of machine learning to discover new materials, the use of 3D printers in advanced manufacturing, to intelligent systems with cognition and decision-making abilities, AI tools and technologies are enabling breakthroughs in many fields of science and engineering, leveraging these scientific breakthroughs to enable progress on pressing societal challenges, and fundamentally transforming several sectors of the economy.

As AI tools and technologies become ubiquitous, the demand for individuals with a wide range of technical skills and domain knowledge will continue to increase. The AI workforce includes careers that address all components of the data life cycle from data collection, data analysis, visualization, and modeling, software engineering, to cutting-edge research and development of the next generation of algorithms and intelligent systems. While AI is often viewed as a field within Computer Science, there is an advantage to viewing AI through an interdisciplinary lens, recognizing the role that linguistics, biology, cognitive sciences, psychology, mathematics, and statistics play in the development of new tools and technologies. This holistic view can spur the development of innovative, interdisciplinary programs that train the next generation of researchers and innovators.

Objectives

The workshop will bring together key stakeholders from both countries, including leading academic institutions, industry, government agencies, and foundations to develop a roadmap for developing a diverse, globally engaged, AI workforce. The workshop will include exemplars of programs in India and the U.S. and breakout sessions for stakeholders to focus on specific aspects of training and program development under four broad themes:

  • AI, Data Science training for Industry 4.0
  • Undergraduate Level AI Program and Curriculum Development
  • Graduate Level Programs – Computer Science focused
  • Graduate Level Programs – Other Engineering / Research focused

“Provocateurs” Session

Sethuraman "Panch" Panchanathan

Director, National Science Foundation

Sandeep Verma

Secretary, Science and Engineering Research Board

Kris Gopalakrishnan

Chairman, Axilor Ventures

Govindan Rangarajan

Director, Indian Institute of Science

Organizing Committee

Nandini Kannan

Executive Director, IUSSTF

N. Dayasindhu

Co-founder and CEO, itihaasa

Krishnan Narayanan

Co-founder & President, itihaasa

Rajesh Sundaresan

Dean of Division of EECS, IISc

Participants

Alka Arora

Principal Scientist & Professor(CA)Division of Computer Applications

ICAR-Indian Agricultural Statistics Research Institute (IASRI)

Amit A. Nanavati

Professor

Ahmedabad University

Amit Apte

Professor and Chair, Data Science

IISER Pune

Andrew Thangaraj

Professor, Department of Electrical Engineering

IIT Madras

Ani Adhikari

Professor, Department of Statistics

University of California, Berkley

Anuj Kapoor

Assistant Professor, Quantitative Marketing

IIM Ahmedabad

Ashwani Sharma

Senior Program Manager

Google Research and Data Commons

B. Chagun Basha

Senior Tech. Specialist

Office of the Principal Scientific Adviser

B. R. Panda

Professor, Biotechnology and Systems Medicine

Jawaharlal Nehru University

Bindu K R

Assistant Professor, Department of Computer Science and Engineering

Amrita

Chandramani Kishore Singh

Associate Professor, Department of ESE

IISc

Chiranjib Bhattacharyya

Professor and Chair, Department of Computer Science and Automation

IISc

D. Manjunath

Professor, Department of Electrical Engineering

IIT Bombay

Deepak D'Souza

Professor, Department of Computer Science and Automation

IISc

Dootika Vats

Assistant Professor, Department of Mathematics & Statistics

IIT Kanpur

K V Subrahmanyam

Dean Academic studies

Chennai Mathematical Institute

Karthik Dantu

Associate Professor, Department of Computer Science and Engineering

University of Buffalo

Kripabandhu Ghosh

Assistant Professor, Computational and Data Science Department

IISER, Kolkata

Malay Bhattacharyya

Assistant Professor, Machine Intelligence Unit

ISI Kolkata

Manish Srivastava

Chief Technology Officer

eGov Foundation

Mausam

Professor/ Affliate Professor at UWashinton

IIT Delhi / University of Washington

Mayank Vatsa

Professor, Computer Science Department

IIT Jodhpur

Murali Annavaram

Dean’s Chair Professor, Ming-Hsieh Department of ECE and CS

University of Southern California

Narayanan (CK) C Krishnan

Associate Professor, Department Data Science

IIT Pallakad

Nitesh Chawla

Frank M. Freimann Professor, Computer Science and Engineering

University of Notre Dame

Partha Pratim Talukdar

Staff Research Scientist

Google

P.B. Sujit

Head of Data Science and Engineering Department

IISER, Bhopal

Poonam Goyal

Professor, Department of Computer Science

BITS Pilani

Praveen Pankajakshan

VP Data Science & AI

CropIN

Rajesh Gupta

Founding Director, Halıcıoğlu Data Science Institute

University of California, San Diego

Rakesh Pimplikar

Senior Research Engineer, Data and AI Platforms

IBM Research

Raman Arora

Assistant Professor

Johns Hopkins University

Ratnajit Bhattacharjee

Head, Mehta Family School of Data Science and Artificial intelligence

IIT Guwahati

Richa Singh

Professor and Head, Computer Science department

IIT Jodhpur

Rohini R Rao

Assistant Professor, Department of Data Science and Computer Applications

Manipal Institute of Technology

Rohini Srivathsa

National Technology Officer

Microsoft

Sashikumaar Ganesan

Professor, Department of Computational and Data Science

IISc

Shankar Venkatgiri

Chairperson, Information Systems

IIM Bangalore

Siddharth Chaurasia

Senior Scientist (AI & Machine Learning)

TCS

Srijoni Sen

Visiting Assistant Professor

National Law School of India University

Sriram Rajamani

Distinguished Scientist and Managing Director

Microsoft India

Sudarsan P

Associate Professor, Department of Humanities and Social Sciences

IIT Madras

Sudip Gupta

Associate Professor, Finance at the Carey Business School

Johns Hopkins University

Sumohana Channapayya

Professor, Department of Electrical Engineering

IIT Hyderabad

Tathagat Varma

VP Strategy

Walmart

Thirumala Arohi Mamunooru

Senior Vice President & Head, Education, Training & Assessment

Infosys

V. N. Rajesh

Head and Associate Professor - Data Science & Information Systems at IFMR Graduate School of Business

Krea University

Vandana Janeja

Professor and Chair, Information Systems department

University of Maryland

Vikas Sahni

Ashoka University

Vipin Chaudhary

Department Chair, Computer and Data Sciences Department Kevin J. Kranzusch Professor and Chair

Case Western Reserve University

Yadati Narahari

Professor, Department of Computer Science and Automation

IISc

Yogesh K Bhatt

EVP and Business Head

StackRoute

WORKSHOP I: AI for Social Good
  • Ethics/Values
  • Privacy/Security
  • Autonomous Decision Making
  • Explainability/Transparency
  • Algorithmic Fairness/Bias
WORKSHOP II: Data and Computing Infrastructure
  • Data Sharing
  • Annotation
  • Provenance/Data Quality
  • Benchmarking and Standards
  • Intellectual Property

USI-AI Activities - Focus Area

Focus Area

Health Care
Agriculture
Smart Cities
Transport
Energy
Education