Groups Similar Look up By Text Browse About



Similar articles
Article Id Title Prob Score Similar Compare
209823 TECHREPUBLIC 2021-6-10:
Researchers win $4.4 million in grants for projects using AI to take on climate change
1.000 Find similar Compare side-by-side
209799 ZDNET 2021-6-10:
C3.ai spotlights 21 projects focused on healthcare, energy efficiency and climate security
0.967 0.687 Find similar Compare side-by-side
209809 ZDNET 2021-6-10:
Biden administration forms new AI task force
0.192 0.442 Find similar Compare side-by-side
210000 VENTUREBEAT 2021-6-11:
AI ‘dominated scientific output’ in recent years, UNESCO report shows
0.017 0.380 Find similar Compare side-by-side
210058 VENTUREBEAT 2021-6-14:
Enterprise AI platform Dataiku targets all teams with fully managed service
0.380 Find similar Compare side-by-side
210009 VENTUREBEAT 2021-6-11:
Can we afford AI?
0.009 0.363 Find similar Compare side-by-side
209807 ZDNET 2021-6-10:
Industrial AI pioneer C3.ai partners with analytics upstart Snowflake
0.360 Find similar Compare side-by-side
210010 VENTUREBEAT 2021-6-11:
10 steps to educate your company on AI fairness
0.360 Find similar Compare side-by-side
210007 VENTUREBEAT 2021-6-11:
AI Weekly: AI helps companies design physical products
0.344 Find similar Compare side-by-side
209679 VENTUREBEAT 2021-6-11:
Transform 2021 puts the spotlight on women in AI
0.343 Find similar Compare side-by-side
209454 VENTUREBEAT 2021-6-8:
IBM releases AI model toolkit to help developers measure uncertainty
0.342 Find similar Compare side-by-side
209423 TECHREPUBLIC 2021-6-8:
Flying high with AI: Alaska Airlines uses artificial intelligence to save time, fuel and money
0.341 Find similar Compare side-by-side
209504 VENTUREBEAT 2021-6-9:
Facebook proposes NetHack as a grand challenge in AI research
0.340 Find similar Compare side-by-side
209724 VENTUREBEAT 2021-6-9:
DeepMind says reinforcement learning is ‘enough’ to reach general AI
0.337 Find similar Compare side-by-side
209384 VENTUREBEAT 2021-6-9:
The pandemic led to ‘significant’ increase in AI adoption across manufacturing, survey finds
0.332 Find similar Compare side-by-side
210057 VENTUREBEAT 2021-6-14:
DataRobot exec talks ‘humble’ AI, regulation
0.328 Find similar Compare side-by-side
209752 ARSTECHNICA 2021-6-10:
Keystone XL pipeline canceled after Biden scraps US permit
0.325 Find similar Compare side-by-side
209484 TECHREPUBLIC 2021-6-9:
Google Cloud: COVID-19 accelerates AI use by manufacturers
0.316 Find similar Compare side-by-side
209585 VENTUREBEAT 2021-6-9:
EleutherAI claims new NLP model approaches GPT-3-level performance
0.315 Find similar Compare side-by-side
209441 VENTUREBEAT 2021-6-8:
Government and business can develop an ethical AI future together, KPMG study finds
0.312 Find similar Compare side-by-side
209683 VENTUREBEAT 2021-6-10:
Lack of AI implementation may have cost enterprises $4.26T, Signal AI finds
0.310 Find similar Compare side-by-side
210061 VENTUREBEAT 2021-6-14:
Moleaer raises $9M for nanobubbles that enable sustainable food production and better water treatment
0.307 Find similar Compare side-by-side
209369 VENTUREBEAT 2021-6-9:
The future of AI in finance is here: Reducing the cost of accuracy
0.304 Find similar Compare side-by-side
209437 VENTUREBEAT 2021-6-8:
Cyber risk platform Brinqa nabs $110M amid surge in breaches
0.302 Find similar Compare side-by-side
209573 VENTUREBEAT 2021-6-7:
Mythic launches analog AI processor that consumes 10 times less power
0.302 Find similar Compare side-by-side

1

ID: 209823

URL: https://www.techrepublic.com/article/researchers-win-4-4-million-in-grants-for-projects-using-ai-to-solve-climate-change/

Date: 2021-06-10

Researchers win $4.4 million in grants for projects using AI to take on climate change

The C3.ai Digital Transformation Institute announced on Thursday $4.4 million in awards to researchers using everything from offline reinforcement learning and large-scale simulations to soil samples and seaweed to find solutions to climate change. Cross-disciplinary teams from universities and research groups want to use artificial intelligence to make electricity grids more resilient, improve wildfire forecasting and develop workable options for carbon sequestration.  The institute put out its first call for papers last spring to identify ways to use AI to address COVID-19. This year the focus was climate change.  Eric Horvitz, Microsoft's chief scientific officer, is a board member at the institute and participated in a press call about the grant winners. He said he was impressed by the proposals that take on some of the hardest problems the world faces. "We need these kinds of audacious yet technically and scientifically sound projects and these projects need to be pursued by teams known for deep technical thinking and creativity," he said. Ali Hortacsu, an economics professor at the University of Chicago, is using supply and demand data from the electricity grid to build a model and understand how the grid responds during events such as the winter storm that hit Texas in February. Hortacsu's goal is to determine how investments in the grid could reduce similar failures in the future. California EV deal could pave way for a "Strategic Electric Reserve" and grid security (TechRepublic). Zido Kolter, a computer science professor at Carnegie Mellon University, is also focused on the power grid but his area of expertise is offline reinforcement learning. He will use the funding to build a simulation that can incorporate strict safety constraints.  Kolter and Sergey Levine, University of California, Berkeley, are the lead investigators on this project. Claire Tomlin's goal is to build smart seaweed-growing structures that can move through the ocean independently and use ocean currents as a power source. "We want them to stay in nutrient rich areas, stay away from ships and use the least amount of energy," she said. Seaweed absorbs carbon dioxide and could help with carbon sequestration efforts. Tomlin is an electrical engineering and computer science professor at University of California, Berkeley. During a press call about the awards, an audience member asked why the Institute was taking an open source approach with the technology developed by the research groups. Tom Siebel, chair of the institute and chairman and CEO of C3.ai, said that to get participation from university researchers, the effort couldn't be about helping a company make money; the effort had to be about helping society. "All of the science goes into the public domain, and it was always set up to be that way," he said. "It's the reason for active participation of some of the most brilliant minds in the world." The institute issued a call for proposals in February and received 52 submissions. The reviewers awarded 21 grants to research proposals for improving resilience, sustainability and efficiency through such measures as carbon sequestration, carbon markets, hydrocarbon production, distributed renewables and cybersecurity. The institute awarded a total of $4.4 million in cash to researchers. Research teams also will gain access to up to $2 million in Azure cloud computing resources, up to 800,000 supercomputing node hours on the Blue Waters petascale supercomputer at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, up to 25 million computing hours on supercomputers at Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center, and unlimited access to the C3.ai Suite. Researchers got $100,000 to $250,000 for each project for one year of operations. The list of winners is listed below by project title, principal investigator and affiliation: These projects apply AI, machine learning and advanced analytics to support sustainability initiatives for energy consumption and greenhouse gas emissions: These efforts apply AI/ machine learning techniques to increase the scale and reduce costs of carbon sequestration: The goal of this work is to enable dynamic, automated, and realtime pricing of energy-generation sources: These projects use AI/ML techniques to improve the cybersecurity of critical power and energy assets, along with smart connected factories and homes: These researchers are applying AI and other analytic approaches to improve the efficiency and effectiveness of grid transmission and distribution operations: This work applies AI to increase the penetration and use of distributed renewables: These projects apply AI to improve modeling of natural catastrophe risks from future weather-related events (e.g., tropical storms, wildfires and floods): This work addresses how the use of AI/ML techniques and markets for energy and carbon introduce new vulnerabilities : These projects use AI/ML to address climate change modeling and adaptation: The C3.ai Digital Transformation Institute is a research group focused on accelerating the benefits of artificial intelligence for business, government and society. The Institute works with scientists to conduct research and train practitioners in digital transformation, which "operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy and ethics." C3.ai DTI was founded in March 2020 by C3.ai, Microsoft Corporation, University of Illinois at Urbana-Champaign, University of California, Berkeley, Carnegie Mellon University, Lawrence Berkeley National Laboratory, Massachusetts Institute of Technology, National Center for Supercomputing Applications, Princeton University, and University of Chicago. The Institute is jointly managed and hosted by University of California, Berkeley and University of Illinois at Urbana-Champaign. C3.ai is a consulting company that specializes in enterprise AI and unifying data, deploying models and deploying applications.  We deliver the top business tech news stories about the companies, the people, and the products revolutionizing the planet. Delivered Daily