C3.ai Digital Transformation Institute Announces AI for Energy and Climate Security Grantees





Urbana, Ill., Berkeley, Calif., United States:
 

C3.ai Digital Transformation Institute (C3.ai DTI) in the present day introduced the second spherical of C3.ai DTI awards, centered on utilizing synthetic intelligence (AI) strategies and digital transformation to advance vitality effectivity and prepared the ground to a lower-carbon, higher-efficiency financial system that may guarantee vitality and local weather safety.


 

C3.ai DTI issued this name for proposals in February 2021, and acquired 52 submissions. A rigorous peer evaluate course of led to 21 awards for analysis proposals to enhance resilience, sustainability, and effectivity by means of such measures as carbon sequestration, carbon markets, hydrocarbon manufacturing, distributed renewables, and cybersecurity, amongst different subjects.


 

The Institute awarded a complete of $4.Four million in money from this name for proposals, the second name the Institute has launched for the reason that group’s launch in March 2020. In addition to money awards, analysis groups achieve entry to as much as $2 million in Azure Cloud computing assets, as much as 800,000 supercomputing node hours on the Blue Waters petascale supercomputer on the National Center for Supercomputing Applications (NCSA) on the University of Illinois at Urbana-Champaign, as much as 25 million computing hours on supercomputers at Lawrence Berkeley National Laboratory’s National Energy Research Scientific Computing Center (NERSC), and free, limitless entry to the C3 AI® Suite hosted on the Microsoft Azure Cloud.


 

“The world’s energy infrastructure will need to undergo radical changes to address the impact of global energy generation,” mentioned Thomas M. Siebel, chairman and CEO of C3 AI. “In the face of this crisis, the Institute is proud to bring together the best and brightest minds and provide direction and leadership to support objective analysis and AI-based, data-driven science for climate security.”


 

“Pursuing a sustainable future via advances in science and engineering is absolutely critical,” mentioned Eric Horvitz, Chief Scientific Officer at Microsoft. “We’re deeply enthusiastic to join with the C3.ai Digital Transformation Institute to support frontier research on energy and climate at leading universities.”


 

The 21 tasks have been every awarded $100,000 to $250,000, for an preliminary interval of 1 yr, in one in every of 9 classes, as listed beneath by challenge title, principal investigator, and affiliation.


 

  • Sustainability – Applying AI, machine studying, and superior analytics to assist sustainability initiatives for vitality consumption and greenhouse fuel emissions:

    • Learning in Routing Games for Sustainable Electromobility (Henrik Sandberg, KTH Royal Institute of Technology)
    • AI-Driven Materials Discovery Framework for Energy-Efficient and Sustainable Electrochemical Separations (Xiao Su, University of Illinois Urbana-Champaign)


 

  • AI for Carbon Sequestration -Applying AI/ML strategies to extend the size and cut back prices of carbon sequestration:

    • Optimization of Agricultural Management for Soil Carbon Sequestration Using Deep Reinforcement Learning and Large-Scale Simulations (Naira Hovakimyan, University of Illinois at Urbana-Champaign)
    • Affordable Gigaton-Scale Carbon Sequestration: Navigating Autonomous Seaweed Growth Platforms by Leveraging Complex Ocean Currents and Machine Learning (Claire Tomlin, University of California, Berkeley)


 

  • AI for Advanced Energy and Carbon Markets – Enabling dynamic, automated, and real-time pricing of energy-generation sources:

    • Quantifying Carbon Credit Over the U.S. Midwestern Cropland Using AI-Based Data-Model Fusion (Kaiyu Guan, University of Illinois at Urbana-Champaign)
    • The Role of Interconnectivity and Strategic Behavior in Electric Power System Reliability (Ali Hortacsu, University of Chicago)


 

  • Cybersecurity of Power and Energy Infrastructure – Leveraging AI/ML strategies to enhance the cybersecurity of essential energy and vitality belongings, together with sensible related factories and houses:

    • Private Cyber-Secure Data-Driven Control of Distributed Energy Resources (Subhonmesh Bose, University of Illinois at Urbana-Champaign)
    • Cyberattacks and Anomalies for Power Systems: Defense Mechanism and Grid Fortification through Machine Learning Techniques (Javad Lavaei, University of California, Berkeley)
    • A Joint ML+Physics-Driven Approach for Cyber-Attack Resilience in Grid Energy Management (Amritanshu Pandey, Carnegie Mellon University)


 

  • Smart Grid Analytics – Applying AI and different analytic approaches to enhance the effectivity and effectiveness of grid transmission and distribution operations:

    • Scalable Data-Driven Voltage Control of Ultra-Large-Scale Power Networks (Alejandro Dominguez-Garcia, University of Illinois at Urbana-Champaign)
    • Offline Reinforcement Learning for Energy-Efficient Power Grids (Sergey Levine, University of California, Berkeley)


 

  • Distributed Energy Resource Management – Applying AI to extend the penetration and use of distributed renewables:

    • Machine Learning for Power Electronics-Enabled Power Systems: A Unified ML Platform for Power Electronics, Power Systems, and Data Science (Minjie Chen, Princeton University)
    • Sharing Mobile Energy Storage: Platforms and Learning Algorithms (Kameshwar Poolla, University of California, Berkeley)
    • Data-Driven Control and Coordination of Smart Converters for Sustainable Power System Using Deep Reinforcement Learning (Qianwen Xu, KTH Royal Institute of Technology)


 

  • AI for Improved Natural Catastrophe Risk Assessment -Applying AI to enhance modeling of pure disaster dangers from future weather-related occasions (e.g., tropical storms, wildfires, and floods):

    • AI for Natural Catastrophes: Tropical Cyclone Modeling and Enabling the Resilience Paradigm (Arindam Banerjee, University of Illinois at Urbana-Champaign)
    • Multi-Scale Analysis for Improved Risk Assessment of Wildfires Facilitated by Data and Computation (Marta Gonzalez, University of California, Berkeley)


 

  • Resilient Energy Systems – Addressing how the usage of AI/ML strategies and markets for vitality and carbon introduce new vulnerabilities:

    • A Learning-Based Influence Model Approach to Cascading Failure Prediction (Eytan Modiano, Massachusetts Institute of Technology)
    • Reinforcement Learning for a Resilient Electric Power System (Alberto Sangiovanni-Vincentelli, University of California, Berkeley)


 

  • AI for Improved Climate Change Modeling -Use of AI/ML to handle local weather change modeling and adaptation:

    • Machine Learning to Reduce Uncertainty within the Effects of Fires on Climate (Hamish Gordon, Carnegie Mellon University)
    • AI-Based Prediction of Urban Climate and Its Impact on Built Environments (Wei Liu, KTH Royal Institute of Technology)
    • Interpretable Machine Learning Models to Improve Forecasting of Extreme-Weather-Causing Tropical Monster Storms (Da Yang, Lawrence Berkeley National Laboratory)


 

“From wildfires to rising seas to monster storms crippling our energy systems, increasingly extreme weather clearly represents a severe threat to our economy, infrastructure, and national security,” mentioned S. Shankar Sastry, C3.ai DTI Co-Director and Thomas M. Siebel Professor of Computer Science on the University of California, Berkeley.“Improving climate resilience will require profound changes powered by a new era of technology like those C3.ai DTI is supporting today.”


 

“A number of energy companies and utilities have used enterprise AI to transform their operations, but as we can see, there’s an even greater need for resilience to cyberattacks and large environmental disruptions,” mentioned R. Srikant, C3.ai DTI Co-Director and Fredric G. and Elizabeth H. Nearing Endowed Professor of Electrical and Computer Engineering on the University of Illinois at Urbana-Champaign. “These projects are designed with those goals in mind.”


 

Award Criteria


 

C3.ai DTI selects analysis proposals that encourage cooperative analysis and advance machine studying and different AI subdisciplines. Projects are peer-reviewed on the premise of scientific advantage, prior accomplishments of the principal investigator and co-principal investigators, the usage of AI, machine studying, information analytics, and cloud computing within the analysis challenge, and the suitability for testing the strategies at scale. Visit C3DTI.ai to study extra concerning the Institute’s applications, award alternatives, and chosen analysis proposals.


 

About C3.ai Digital Transformation Institute


 

Established in March 2020 by C3 AI, Microsoft, and main universities, the C3.ai Digital Transformation Institute is a analysis consortium devoted to accelerating the advantages of synthetic intelligence for enterprise, authorities, and society. The Institute engages the world’s main scientists to conduct analysis and prepare practitioners within the new Science of Digital Transformation – working on the intersection of synthetic intelligence, machine studying, cloud computing, web of issues, huge information analytics, organizational conduct, public coverage, and ethics.


 

The ten C3.ai Digital Transformation Institute consortium member universities and laboratories are: University of California, Berkeley, University of Illinois at Urbana-Champaign, Carnegie Mellon University, KTH Royal Institute of Technology, Lawrence Berkeley National Laboratory, Massachusetts Institute of Technology, National Center for Supercomputing Applications at University of Illinois at Urbana-Champaign, Princeton University, Stanford University, and University of Chicago. Additional {industry} companions embrace AstraZeneca, Baker Hughes, and Shell.


 

To assist the Institute, C3 AI is offering the Institute $57,250,000 in money contributions over the primary 5 years of operation. C3 AI and Microsoft will contribute a further $310 million of in-kind assist, together with use of the C3 AI® Suite and Microsoft Azure computing, storage, and technical assets to assist C3.ai DTI analysis.


 

About C3.ai, Inc.


 

C3.ai, Inc. (NYSE:AI) is the Enterprise AI software software program firm that accelerates digital transformation for organizations globally. C3 AI delivers a household of totally built-in merchandise: C3 AI® Suite, an end-to-end platform for growing, deploying, and working large-scale AI functions; C3 AI Applications, a portfolio of industry-specific SaaS AI functions; C3 AI CRM, a set of industry-specific CRM functions designed for AI and machine studying; and C3 AI Ex Machina, a no-code AI answer to use information science to on a regular basis enterprise issues. The core of the C3 AI providing is an open, model-driven AI structure that dramatically simplifies information science and software improvement. Learn extra at: www.c3.ai.


 


 



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