Meetings

The Organic Field Crop Production and Marketing Meeting will be hosted at the Vegetable Research Station near Kibler, Arkansas, on April 7 to connect grain farmers with organic market opportunities and to showcase ongoing organic research in the state. The event, which is free and open to the public, is focused on connecting growers interested in exploring organic production with buyers from the region to discuss market opportunities for organic grain crops. The organic field day also involves partners from the USDA’s Organic Agriculture Research and Extension Initiative project, as well as the Natural Soybean and Grain Alliance, the Center for Arkansas Farms and Food, Winrock International, the Rodale Institute, and University of Arkansas System Division of Agriculture researchers.

To help meet the rising national and global demand for poultry products, the Center for Scalable and Intelligent Automation in Poultry Processing will hold its first field day on April 9 from 12:30-5 p.m. at the Don Tyson Center for Agricultural Sciences in Fayetteville, Arkansas. This free event will share what researchers have learned so far about developing new robotic technologies, including tools for deboning, detecting foreign materials and pathogens, and using virtual reality to operate equipment remotely. The event will not be recorded or streamed online.

The mysterious properties of meteorites will be transformed into music and performed live at the Cambridge Festival this Saturday (21 March). Presented by experts from Anglia Ruskin University and the University of Cambridge, the event will allow the audience to experience space science in a new way by turning the microscopic textures and mineral structures of meteorites into melodies.

Researchers at Rice University recently convened an international group of scientists to explore how artificial intelligence and machine learning could transform one of the world’s most ambitious physics experiments: the Deep Underground Neutrino Experiment (DUNE). Held March 10-12 at Rice’s BioScience Research Collaborative, the three-day workshop brought together researchers from universities, national laboratories and international partners to discuss how the experiment’s software and computing infrastructure can better support the growing role of AI and machine learning. The event was organized by DUNE’s AI/ML Forum and Core Software and Computing Consortium and was partially supported by the Rice Creative Ventures Fund.

As chair of the AI-Driven Biomarkers to Quantify Aging session, Zhavoronkov moderated a discussion on computational approaches to measuring biological age and identifying biomarkers of aging.