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The Department of Energy announced a $67 million investment in several AI projects from institutions in both government and academia as part of its AI for Science initiative. Six ORNL-led (or co-led) projects received funding.

The Advanced Plant Phenotyping Laboratory at ORNL utilizes robotics, multi-modal imaging, and AI to enhance understanding of plant genetics and interactions with microbes. It aims to connect genes to traits for advancements in bioenergy, agriculture, and climate resilience. Senior scientist Larry York highlights the lab's capabilities and the insights from a new digital underground imaging system to improve biomass feedstocks for bioenergy and carbon storage.

To bridge the gap between experimental facilities and supercomputers, experts from SLAC National Accelerator Laboratory are teaming up with other DOE national laboratories to build a new data streaming pipeline. The pipeline will allow researchers to send their data to the nation’s leading computing centers for analysis in real time even as their experiments are taking place.

Jordan Cannon is CEO of Circular Biosciences, a Cohort 2024 Innovation Crossroads company, a startup dedicated to accelerating bioplastic degradation for more widespread use, easier disposal and reduced environmental impact.

Entrepreneurs, city leaders and community members gathered Oct. 1 at the Mill and Mine in downtown Knoxville for Startup Day 2024, the flagship event of Innov865 Week. Innov865 highlights the efforts of the Innov865 Alliance to develop, support and promote innovation and entrepreneurship in the Knoxville region.

Prasanna Balprakash, director of AI programs for ORNL, discussed advancing climate and weather research through high performance computing and artificial intelligence as part of a September 18 panel for the United States Senate.

The Smoky Mountain Computational Sciences and Engineering Conference, or SMC24, entered its third decade with the 21st annual gathering in East Tennessee.

A study led by the Department of Energy’s 91°µÍø details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.

In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.

Katy Bradford is on a mission to revolutionize the construction industry and is the founder of Cassette Construction, a company in the newest cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node at ORNL. As an Innovation Crossroads fellow, Bradford and her company will receive technical, financial and networking support to successfully advance the company’s products to the marketplace.