The Center for AI @ PNNL Helps Keep U.S. at Forefront of AI for Science, Energy, and Security

The Center for AI @ PNNL Helps Keep U.S. at Forefront of AI for Science, Energy, and Security

Over the past 18 months, the arrival and widespread use of generative artificial intelligence like OpenAI’s ChatGPT and Anthrophic’s Claude has raised awareness of AI systems around the world. Our scientists at Pacific Northwest National Laboratory (PNNL) have been working on AI for decades. In fact, there’s so much happening in AI at PNNL that in December 2023, we launched the Center for AI @ PNNL, a virtual research hub to coordinate these efforts in a bid to keep the United States at the forefront of science and security. Read the full article.


Scientists Put Forth a Smarter Way to Protect a Smarter Grid

PNNL researchers are working on a tool that sorts and prioritizes cyber threats so grid operators can address the biggest threats first and protect against them.


AI for Energy Report Features PNNL Expertise

PNNL computing experts Robert Rallo and Court Corley contributed their knowledge in AI to a recent Department of Energy (DOE) report. PNNL grid expert Yousu Chen also led a report that provides a foundation for understanding the transformative role of AI in power systems.


A Gamified Approach to Cloud Computing Challenges

PNNL staff participated in an Amazon Web Services GameDay event centered around AI and cloud computing challenges.


Empowering Scientists with SODA

The software-defined accelerator (SODA) toolkit, available now on GitHub, enables domain scientists to design their own custom hardware accelerators.


More news from PNNL

Co-Designing the Future of Computational Chemistry

Interpretable and Physics-Aware Neural Networks Improve Modeling of Turbulence Near the Surface

Scientists at PNNL Explore How AI Can Help Transform Research

Did you miss us at the AI Expo for National Competitiveness? PNNL participated at the DOE Office of Critical and Emerging Technologies-hosted AI Pavilion along with other national labs from across the country. During the two-day conference, PNNL delivered a demo on PolicyAI and a briefing on the Center for AI @ PNNL to a standing room crowd at the DOE booth. The Pavilion was visited by DOE Deputy Secretary David Turk, DOE Undersecretary Geri Richmond, and other representatives from government and industry.

  • Robert Rallo presented: Generative AI to Improve Environmental Review and Permitting Outcomes and Efficiency
  • Court Corley presented: Research at the Frontiers of AI for Science, Security, and Technology


This week, PNNL is hosting The?Artificial Intelligence for Robust Engineering & Science (AIRES) workshop at our Richland, WA, campus. Attendees are discussing advances in artificial intelligence, machine learning, and technology for engineered and natural systems.


Join PNNL from May 29–31 at the HydroML Symposium, a forum for integrating artificial intelligence and machine learning with Earth system science.


Join the ultimate generative AI challenge for environmental review! PNNL and the DOE Office of Policy are hosting the Large Language Models for Environmental Review challenge through June 30, 2024, via Kaggle.

Seeking a job in AI? Join PNNL, where people with great minds, diverse backgrounds, and incredible talent provide the nation’s foundation for discovery and innovation.

Seth Poovey

Senior Engineer at Photonix Dynamix Inc.

2 个月

As our power grids and critical infrastructure become more interconnected with smart devices, the risk of cyberattacks increases exponentially. Every smart device – from solar panels to charging stations – introduces a new vulnerability that hackers can exploit, making the challenge of securing the electric grid daunting. The traditional approach of defending against these threats piece by piece is no longer sufficient as the number of devices grows and attacks become more sophisticated. This is where photonic computing steps in. By using light to process and transmit data, photonic systems operate at incredible speeds and with far greater efficiency than electronic systems, allowing them to detect and respond to cyber threats in real time. When combined with advanced AI and machine learning models, photonic computing could provide grid operators with the ability to map out, prioritize, and neutralize cyberattack paths before they can cause serious damage. This leap in computational power could revolutionize how we protect our power grids and other critical systems, ensuring that we stay one step ahead of cyber adversaries and maintain the security and resilience of our nation's most vital infrastructure.

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Anthony Roach

Innovator and CLEAN energy advocate. IF it has to do with CLEAN ENERGY, I'M IN! "Far and away the best prize that life offers is the chance to work hard at work worth doing". T.R.

3 个月

As, "The Center for AI", Would it be a consideration for your administration to push for greater acceptance of what you term as AI? Maybe a worthy task would be to make a radical shift and actually start redefining and calling it "TI" instead. After all this is "Technological Intelligence" and not at all "ARTIFICIAL" by definition. Also, by using "ARTIFICIAL" as a way of describing something you would like the world to embrace as something you can "rely upon" does not seem logical to most people.

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Kevin O.

Requirements Analyst at Cybersecurity and Infrastructure Security Agency (CISA)

4 个月

Thank you for the invite. I will be watching how you tackle the challenge of hidden layers and the process of verification and validation when new information is added to your large language models.

Sushila Kumari

Retired at Dalmiya cement limited

4 个月

Interesting this newsletter ??

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