The inaugural AI in Agriculture Symposium, hosted by the Center for Agricultural Data Analytics within the Arkansas Agricultural Experiment Station, will highlight the latest in AI research and real-world applications for agriculture on Sept. 15. free event will be offered online and in-person at the Don Tyson Center for Agricultural Sciences, 1371 W. Altheimer Drive, in Fayetteville, Arkansas. The event also features an AI in Ag Hackathon, which gives graduate students from the University of Arkansas in Fayetteville and the University of Arkansas at Pine Bluff a chance to address real-world scenarios commonly faced in the ag industry. The hackathon takes place Sept. 13-14 and winners will give presentations at the symposium on Sept. 15.

Tulane researchers found that mid-1990s climate projections of sea-level rise were remarkably accurate when compared with 30 years of satellite data. The 1996 IPCC report predicted about 8 cm of rise, close to the 9 cm observed, though it underestimated ice-sheet contributions. The study highlights both the credibility of climate models and the importance of continued monitoring. Researchers stress the need for region-specific projections, especially for vulnerable coastal areas like south Louisiana, where sea-level rise varies widely.

Trusted by researchers, crop consultants, and growers worldwide for more than 40 years, Compendium of Cotton Diseases and Pests returns for a third edition with significant updates and new content.

Using Lego Mindstorms EV3, researchers from Kyushu University have developed a new 3D bioprinting method that can customize the texture, adhesiveness, and water retention of protein-based emulsion gels for dysphagia diets using controlled radiofrequency and microwave energy.

TACC’s Lonestar6 and Corral supercomputers are aiding the development of Automatic Speech Recognition systems for children, using discrete speech units as an anonymous encoding method that strengthens privacy protections. 

Researchers at the University of Innsbruck have created a system in which individual qubits — stored in trapped calcium ions — are each entangled with separate photons. Demonstrating this method for a register of up to 10 qubits, the team has shown an easily scalable approach that opens new possibilities for linking quantum computers and quantum sensors.